228 Dataiku Jobs - Page 5

Job Description Manager, Data Visualization Based in Hyderabad, join a global healthcare biopharma company and be part of a 130-year legacy of success backed by ethical integrity, forward momentum, and an inspiring mission to achieve new milestones in global healthcare. Our Technology centers focus on creating a space where teams can come together to deliver business solutions that save and improve lives. An integral part of the company IT operating model, Tech centers are globally distributed locations where each IT division has employees to enable our digital transformation journey and drive business outcomes. These locations, in addition to the other sites, are essential to supporting our business and strategy. A focused group of leaders in each tech center helps to ensure we can manage and improve each location, from investing in growth, success, and well-being of our people, to making sure colleagues from each IT division feel a sense of belonging to managing critical emergencies. And together, we must leverage the strength of our team to collaborate globally to optimize connections and share best practices across the Tech Centers. Role Overview: A unique opportunity to be part of an Insight & Analytics Data hub for a leading biopharmaceutical company and define a culture that creates a compelling customer experience. Bring your entrepreneurial curiosity and learning spirit into a career of purpose, personal growth, and leadership. We are seeking those who have a passion for using data, analytics, and insights to drive decision-making that will allow us to tackle some of the world's greatest health threats As a Manager in Data Visualization, you will be focused on designing and developing compelling data visualizations solutions to enable actionable insights & facilitate intuitive information consumption for internal business stakeholders. The ideal candidate will demonstrate competency in building user-centric visuals & dashboards that empower stakeholders with data driven insights & decision-making capability. Our Quantitative Sciences team use big data to analyze the safety and efficacy claims of our potential medical breakthroughs. We review the quality and reliability of clinical studies using deep scientific knowledge, statistical analysis, and high-quality data to support decision-making in clinical trials. What will you do in this role: Design & develop user-centric data visualization solutions utilizing complex data sources. Identify & define key business metrics and KPIs in partnership with business stakeholders. Define & develop scalable data models in alignment & support from data engineering & IT teams. Lead UI UX workshops to develop user stories, wireframes & develop intuitive visualizations. Collaborate with data engineering, data science & IT teams to deliver business friendly dashboard & reporting solutions. Apply best practices in data visualization design & continuously improve upon intuitive user experience for business stakeholders. Provide thought leadership and data visualization best practices to the broader Data & Analytics organization. Identify opportunities to apply data visualization technologies to streamline & enhance manual / legacy reporting deliveries. Provide training & coaching to internal stakeholders to enable a self-service operating model. Co-create information governance & apply data privacy best practices to solutions. Continuously innovative on visualization best practices & technologies by reviewing external resources & marketplace. What Should you have: 5 years’ relevant experience in data visualization, infographics, and interactive visual storytelling Working experience and knowledge in Power BI / QLIK / Spotfire / Tableau and other data visualization technologies Working experience and knowledge in ETL process, data modeling techniques & platforms (Alteryx, Informatica, Dataiku, etc.) Experience working with Database technologies (Redshift, Oracle, Snowflake, etc) & data processing languages (SQL, Python, R, etc.) Experience in leveraging and managing third party vendors and contractors. Self-motivation, proactivity, and ability to work independently with minimum direction. Excellent interpersonal and communication skills Excellent organizational skills, with ability to navigate a complex matrix environment and organize/prioritize work efficiently and effectively. Demonstrated ability to collaborate and lead with diverse groups of work colleagues and positively manage ambiguity. Experience in Pharma and or Biotech Industry is a plus. Our technology teams operate as business partners, proposing ideas and innovative solutions that enable new organizational capabilities. We collaborate internationally to deliver services and solutions that help everyone be more productive and enable innovation. Who we are: We are known as Merck & Co., Inc., Rahway, New Jersey, USA in the United States and Canada and MSD everywhere else. For more than a century, we have been inventing for life, bringing forward medicines and vaccines for many of the world's most challenging diseases. Today, our company continues to be at the forefront of research to deliver innovative health solutions and advance the prevention and treatment of diseases that threaten people and animals around the world. What we look for: Imagine getting up in the morning for a job as important as helping to save and improve lives around the world. Here, you have that opportunity. You can put your empathy, creativity, digital mastery, or scientific genius to work in collaboration with a diverse group of colleagues who pursue and bring hope to countless people who are battling some of the most challenging diseases of our time. Our team is constantly evolving, so if you are among the intellectually curious, join us—and start making your impact today. #HYDIT2025 Current Employees apply HERE Current Contingent Workers apply HERE Search Firm Representatives Please Read Carefully Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails. Employee Status: Regular Relocation: VISA Sponsorship: Travel Requirements: Flexible Work Arrangements: Remote Shift: Valid Driving License: Hazardous Material(s): Required Skills: Business Intelligence (BI), Database Administration, Data Engineering, Data Management, Data Modeling, Data Visualization, Design Applications, Information Management, Software Development, Software Development Life Cycle (SDLC), System Designs Preferred Skills: Job Posting End Date: 07/9/2025 A job posting is effective until 11:59:59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date. Requisition ID: R329043

About Us With Citi’s Analytics & Information Management (AIM) group, you will do meaningful work from Day 1. Our collaborative and respectful culture lets people grow and make a difference in one of the world’s leading Financial Services Organizations. The purpose of the group is to enable building Citi’s data assets and to analyze information and create actionable intelligence for our business leaders. We value what makes you unique so that you have opportunity to shine. You also get the opportunity to work with the best minds and top leaders in the analytics space. Position We are hiring for the position of Officer – Data Management/Information Analyst in Wealth Data Strategy with technical expertise, based in Chennai, India. In this role, you will be a key individual contributor, responsible for bridging the gap between business needs and technical solutions, working closely with stakeholders, product owners and development team to ensure platform development meets business objectives and requirements. You will be an SME in the group supporting one of our key wealth platform developments team analyzing the data and improvements in platform features and performance. Key Responsibilities Requirement Gathering. Engage with stakeholders to identify, gather and document requirements for framework, pipelining solutions and translate business requirements to detailed technical specifications that can be understood and acted upon by development teams. Technical Solutions Mapping. Collaborate with tech team to map business processes that will be supported by framework and pipelines. Work with cross-functional teams to design end to end technical solutions that optimize business workflows and ensure seamless integration. Technology Partnership. Work closely with technology teams to identify opportunities for automation, process improvement, and system optimization. Stakeholder Communication & Collaboration. Serve as the liaison between business stakeholders, product owners, and the tech teams. Facilitate regular meetings and manage stakeholder expectations by delivering clear, concise, and timely updates on development progress, risks, and issues. Process & Controls Orientation. Develop strong processes, and indestructible controls to address risk and seek to propagate that culture to become the core value of the team. Agile Project Management. Work with product owners to prioritize features and improvements based on business impact and technical feasibility. Use Agile methodologies (Scrum/Kanban) to facilitate the development process, ensuring efficient execution of tasks within sprints Quality Assurance. Support the creation and execution of test cases, focusing on validating technical solutions against business requirements. Ensure that the tools, frameworks, and pipelines are thoroughly tested for performance, security, and business continuity. Documentation & Reporting : Create detailed documentation of requirements, processes, and system interactions for technical solutions and frameworks. Prepare reports and presentations that provide insights and recommendations for stakeholders regarding system performance, business continuity, and pipeline optimization. Continuous Improvement . Continuously assess existing tools, frameworks to identify opportunities for optimization and automation. Provide recommendations to enhance the scalability, resilience, and efficiency of the solutions being developed. Mentorship and Knowledge Sharing. Provide technical mentorship to junior team members, sharing your expertise in data engineering and business technology collaboration. Key Qualifications Education: Bachelor’s degree in computer science, Information Technology, Business Administration, or a related field. Experience: Minimum of 6+ years of experience in business analysis, preferably in a tech-focused role with exposure to frameworks, SRE, and data pipelining. Technical Knowledge: Proficient in PySpark and Python and ability to understand and leverage data engineering principles. Familiarity with cloud platforms with expertise in Snowflake for data storage, retrieval and querying and business intelligence initiatives. D ata Visualization and Reporting: Proficiency in visualizing data using tools like Tableau, Dataiku or similar with strong understanding of ETL processes from Snowflake or other data bases. Desired Skills: Ability to translate complex technical information into business-friendly language. Strong analytical and problem-solving skills. Excellent communication and management skills : Ability to manage multiple tasks and competing priorities in a fast-paced environment. Experience with automation tools and cloud-native technologies is a plus. Mentorship & Leadership: Proven ability to mentor and develop team members while successfully managing and delivering complex projects with measurable impact. Banking Industry: Prior experience in the banking or financial sector is a plus, or a keen interest in exploring this domain. Additional Information: This role offers the opportunity to work on innovative projects within a dynamic technical environment. Citi values diversity and inclusion, and we encourage individuals from diverse backgrounds to apply. - Job Family Group: Decision Management - Job Family: Data/Information Management - Time Type: Full time - Most Relevant Skills Please see the requirements listed above. - Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. - Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi . View Citi’s EEO Policy Statement and the Know Your Rights poster.

Job Description Manager, Data Visualization Based in Hyderabad, join a global healthcare biopharma company and be part of a 130-year legacy of success backed by ethical integrity, forward momentum, and an inspiring mission to achieve new milestones in global healthcare. Our Technology centers focus on creating a space where teams can come together to deliver business solutions that save and improve lives. An integral part of the company IT operating model, Tech centers are globally distributed locations where each IT division has employees to enable our digital transformation journey and drive business outcomes. These locations, in addition to the other sites, are essential to supporting our business and strategy. A focused group of leaders in each tech center helps to ensure we can manage and improve each location, from investing in growth, success, and well-being of our people, to making sure colleagues from each IT division feel a sense of belonging to managing critical emergencies. And together, we must leverage the strength of our team to collaborate globally to optimize connections and share best practices across the Tech Centers. Role Overview A unique opportunity to be part of an Insight & Analytics Data hub for a leading biopharmaceutical company and define a culture that creates a compelling customer experience. Bring your entrepreneurial curiosity and learning spirit into a career of purpose, personal growth, and leadership. We are seeking those who have a passion for using data, analytics, and insights to drive decision-making that will allow us to tackle some of the world's greatest health threats As a Manager in Data Visualization, you will be focused on designing and developing compelling data visualizations solutions to enable actionable insights & facilitate intuitive information consumption for internal business stakeholders. The ideal candidate will demonstrate competency in building user-centric visuals & dashboards that empower stakeholders with data driven insights & decision-making capability. Our Quantitative Sciences team use big data to analyze the safety and efficacy claims of our potential medical breakthroughs. We review the quality and reliability of clinical studies using deep scientific knowledge, statistical analysis, and high-quality data to support decision-making in clinical trials. What Will You Do In This Role Design & develop user-centric data visualization solutions utilizing complex data sources. Identify & define key business metrics and KPIs in partnership with business stakeholders. Define & develop scalable data models in alignment & support from data engineering & IT teams. Lead UI UX workshops to develop user stories, wireframes & develop intuitive visualizations. Collaborate with data engineering, data science & IT teams to deliver business friendly dashboard & reporting solutions. Apply best practices in data visualization design & continuously improve upon intuitive user experience for business stakeholders. Provide thought leadership and data visualization best practices to the broader Data & Analytics organization. Identify opportunities to apply data visualization technologies to streamline & enhance manual / legacy reporting deliveries. Provide training & coaching to internal stakeholders to enable a self-service operating model. Co-create information governance & apply data privacy best practices to solutions. Continuously innovative on visualization best practices & technologies by reviewing external resources & marketplace. What Should You Have 5 years’ relevant experience in data visualization, infographics, and interactive visual storytelling Working experience and knowledge in Power BI / QLIK / Spotfire / Tableau and other data visualization technologies Working experience and knowledge in ETL process, data modeling techniques & platforms (Alteryx, Informatica, Dataiku, etc.) Experience working with Database technologies (Redshift, Oracle, Snowflake, etc) & data processing languages (SQL, Python, R, etc.) Experience in leveraging and managing third party vendors and contractors. Self-motivation, proactivity, and ability to work independently with minimum direction. Excellent interpersonal and communication skills Excellent organizational skills, with ability to navigate a complex matrix environment and organize/prioritize work efficiently and effectively. Demonstrated ability to collaborate and lead with diverse groups of work colleagues and positively manage ambiguity. Experience in Pharma and or Biotech Industry is a plus. Our technology teams operate as business partners, proposing ideas and innovative solutions that enable new organizational capabilities. We collaborate internationally to deliver services and solutions that help everyone be more productive and enable innovation. Who We Are We are known as Merck & Co., Inc., Rahway, New Jersey, USA in the United States and Canada and MSD everywhere else. For more than a century, we have been inventing for life, bringing forward medicines and vaccines for many of the world's most challenging diseases. Today, our company continues to be at the forefront of research to deliver innovative health solutions and advance the prevention and treatment of diseases that threaten people and animals around the world. What We Look For Imagine getting up in the morning for a job as important as helping to save and improve lives around the world. Here, you have that opportunity. You can put your empathy, creativity, digital mastery, or scientific genius to work in collaboration with a diverse group of colleagues who pursue and bring hope to countless people who are battling some of the most challenging diseases of our time. Our team is constantly evolving, so if you are among the intellectually curious, join us—and start making your impact today. #HYDIT2025 Current Employees apply HERE Current Contingent Workers apply HERE Search Firm Representatives Please Read Carefully Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails. Employee Status Regular Relocation VISA Sponsorship Travel Requirements Flexible Work Arrangements Remote Shift Valid Driving License Hazardous Material(s) Required Skills Business Intelligence (BI), Database Administration, Data Engineering, Data Management, Data Modeling, Data Visualization, Design Applications, Information Management, Software Development, Software Development Life Cycle (SDLC), System Designs Preferred Skills Job Posting End Date 07/9/2025 A job posting is effective until 11 59 59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date. Requisition ID R329043 Show more Show less

Data Analyst A Business Analyst in the Financial Crime Surveillance Operations (FCSO) Data & Reporting PO Team understands the core concepts, principles, processes or procedures of Data & MI. Experienced in using MSTR reports & Dataiku. The FCSO Business Analyst gathers requirements from various stakeholders and creates user stories for the squad to understand and take it for delivery. They must have strong analytical skills, understand the strategic framework & make sense of data. Core Business Analysis Skills Requirement Gathering Documentation Gap analysis 2. Data & MI Expertise Data Analysis Data mapping & Metrics understanding FCSO Process knowledge (Good to have)\ 3. Technical Skills Query Databases Familiarity with BI Tools like Dataiku, MSTR 4. Agile & Scrum Understanding of Scrum for collaborating with Squads User Story Creation Backlog Management Stakeholder Management 5.Soft Skills Problem Solving Skills & Analytical thinking to trouble shoot data issue and propose solutions Communication Negotiation Quick learner

Do you want to make a global impact on patient health? Join Pfizer Digital’s Artificial Intelligence, Data, and Advanced Analytics organization (AIDA) to leverage cutting-edge technology for critical business decisions and enhance customer experiences for colleagues, patients, and physicians. Our team is at the forefront of Pfizer’s transformation into a digitally driven organization, using data science and AI to change patients’ lives. The Data Science Industrialization team leads engineering efforts to advance AI and data science applications from POCs and prototypes to full production. As a Senior Manager, AI and Analytics Data Engineer, you will be part of a global team responsible for designing, developing, and implementing robust data layers that support data scientists and key advanced analytics/AI/ML business solutions. You will partner with cross-functional data scientists and Digital leaders to ensure efficient and reliable data flow across the organization. You will lead development of data solutions to support our data science community and drive data-centric decision-making. Join our diverse team in making an impact on patient health through the application of cutting-edge technology and collaboration. Role Responsibilities Lead development of data engineering processes to support data scientists and analytics/AI solutions, ensuring data quality, reliability, and efficiency As a data engineering tech lead, enforce best practices, standards, and documentation to ensure consistency and scalability, and facilitate related trainings Provide strategic and technical input on the AI ecosystem including platform evolution, vendor scan, and new capability development Act as a subject matter expert for data engineering on cross functional teams in bespoke organizational initiatives by providing thought leadership and execution support for data engineering needs Train and guide junior developers on concepts such as data modeling, database architecture, data pipeline management, data ops and automation, tools, and best practices Stay updated with the latest advancements in data engineering technologies and tools and evaluate their applicability for improving our data engineering capabilities Direct data engineering research to advance design and development capabilities Collaborate with stakeholders to understand data requirements and address them with data solutions Partner with the AIDA Data and Platforms teams to enforce best practices for data engineering and data solutions Demonstrate a proactive approach to identifying and resolving potential system issues. Communicate the value of reusable data components to end-user functions (e.g., Commercial, Research and Development, and Global Supply) and promote innovative, scalable data engineering approaches to accelerate data science and AI work Basic Qualifications Bachelor's degree in computer science, information technology, software engineering, or a related field (Data Science, Computer Engineering, Computer Science, Information Systems, Engineering, or a related discipline). 7+ years of hands-on experience in working with SQL, Python, object-oriented scripting languages (e.g. Java, C++, etc..) in building data pipelines and processes. Proficiency in SQL programming, including the ability to create and debug stored procedures, functions, and views. Recognized by peers as an expert in data engineering with deep expertise in data modeling, data governance, and data pipeline management principles In-depth knowledge of modern data engineering frameworks and tools such as Snowflake, Redshift, Spark, Airflow, Hadoop, Kafka, and related technologies Experience working in a cloud-based analytics ecosystem (AWS, Snowflake, etc.) Familiarity with machine learning and AI technologies and their integration with data engineering pipelines Demonstrated experience interfacing with internal and external teams to develop innovative data solutions Strong understanding of Software Development Life Cycle (SDLC) and data science development lifecycle (CRISP) Highly self-motivated to deliver both independently and with strong team collaboration Ability to creatively take on new challenges and work outside comfort zone. Strong English communication skills (written & verbal) Preferred Qualifications Advanced degree in Data Science, Computer Engineering, Computer Science, Information Systems, or a related discipline (preferred, but not required) Experience in software/product engineering Experience with data science enabling technology, such as Dataiku Data Science Studio, AWS SageMaker or other data science platforms Familiarity with containerization technologies like Docker and orchestration platforms like Kubernetes. Experience working effectively in a distributed remote team environment Hands on experience working in Agile teams, processes, and practices Expertise in cloud platforms such as AWS, Azure or GCP. Proficiency in using version control systems like Git. Pharma & Life Science commercial functional knowledge Pharma & Life Science commercial data literacy Ability to work non-traditional work hours interacting with global teams spanning across the different regions (e.g.: North America, Europe, Asia) Pfizer is an equal opportunity employer and complies with all applicable equal employment opportunity legislation in each jurisdiction in which it operates. Information & Business Tech Show more Show less

Why Patients Need You The Revenue Management (RM) Digital Solutions team manages technology strategy and delivery for the Pfizer’s Commercial Business Units, the Global Access and Value (GAV) organization and Pfizer Commercial Finance teams. The team plays a critical role in ensuring Patients can easily access Pfizer’s breakthrough medicines through contracting opportunities with Payer and Providers. What You Will Achieve This role will be responsible to configure, maintain and enhance strategic technology platforms and related reporting dashboards that support market access pre-deal analytics, post-deal analytics and broader performance reporting. These web-based tools are used by Market Access Strategy, Pricing and Analytics (MASPA) teams that are responsible for payer and provider contract analytics. The candidate will be accountable for finding the most effective ways for technology to support Pfizer’s business objectives in these domains and optimize the return on all technology investments. The ideal candidate would be someone with strong technical skill on Data management tools, Data Architecture, data profiling/quality tools, AWS services, Tableau, Snowflake, Informatica Cloud Services, Dataiku AI/ML tools. This role will work closely with functional and technical leads and become a subject matter expert with solutions to identify, develop, and deploy processes and reporting. The role will lead Deal Analytics data integration, create analytic solutions, and utilize data prep and visualization platforms. How You Will Achieve It Evaluates and implements solutions to meet business requirements, ensuring consistent usage and adherence to data management best practices. Collaborates with product owners to prioritize features and manage technical requirements based on business needs, new technologies, and known issues. Develops application design and documentation for leadership teams. Assists in defining the vision for the shared data model, including sourcing, transformation, and loading approaches. Manages daily operations of the team, ensuring on-time delivery of milestones. Accountable for end-to-end delivery of program outcomes within budget, aligning with relevant business units. Fosters collaboration with internal and external stakeholders, including software vendors and data providers. Works independently with minimal supervision, capable of making recommendations. You will have the opportunity to: Demonstrate a solid ability to tell a story with simplistic views of complex datasets. Deliver data reliability, efficiency, and best-in-class data governance, ensuring security and compliance. Will be an integral part of developing best-in-class solution for the GAV organization. Build dashboard and reporting proofs of concept as needed; develop reporting and analysis templates and tools. Work in close collaboration with business teams throughout MASPA (Market Access Strategy Pricing and Analytics) to determine tool functionality/configuration and data requirements to ensure that the analytic capability is supporting the most current business needs. Partner with the Digital Client Partners to align on priorities, processes and governance and ensure experimentation to activate innovation and pipeline value. Qualifications Must-Have Bachelor’s degree in computer science, Software Engineering, or engineering related area. 5+ years of relevant experience emphasizing data modeling, development, or systems engineering. 1+ years with a data visualization tool (e.g. Tableau, Power BI). 2+ Years of experience in any number of the following tools, languages, and databases: (e.g. MySQL, SQL, Aurora DB, Redshift, Snowflake). Demonstrated capabilities in integrating and analyzing heterogeneous datasets; Ability to identify trends, identify outliers and find patterns. Demonstrated expertise and capabilities in matrixed, cross-functional teams and influencing without authority. Proven experience and demonstrated skills with AWS services, Tableau, Airflow,Python and Dataiku. Must be experienced in DevSecOps tools JIRA, GitHub. Experience in Database design tools. Deep knowledge of Agile methodologies and SDLC processes. Excellent written, interpersonal, and oral communication skills, communicate and liaise broadly across functions and the global organization. Strong analytical, critical thinking, and troubleshooting skills. Ambition to learn and utilize emerging technologies while working in a stimulating team environment. Nice-to-Have Advanced degree in Computer Engineering, Computer Science, Information Systems or related discipline. Knowledge with GenAI and LLMs framework (OpenAI, AWS). US Market Access functional knowledge and data literacy. Statistical analysis to understand and improve possible limitations in models. Experience in AI/ML frameworks. Pytest and CI/CD tools. Experience in UI/UX design. Experience in solution architecture & product engineering. Organizational Relationships Global Access and Value Organization Market Access Strategy, Pricing and Analytics Channel Management, Contract Operations Trade Operations Government Pricing Managed Markets Finance Vaccines Business Unit Leadership Commercial Leaders for newly launched brands AIDA Pfizer is an equal opportunity employer and complies with all applicable equal employment opportunity legislation in each jurisdiction in which it operates. Information & Business Tech Show more Show less

5 - 7 Years 1 Opening Kochi, Trivandrum Role description Job Title: Lead ML-Ops Engineer – GenAI & Scalable ML Systems Location: Any UST Job Type: Full-Time Experience Level: Senior / Lead Role Overview: We are seeking a Lead ML-Ops Engineer to spearhead the end-to-end operationalization of machine learning and Generative AI models across our platforms. You will play a pivotal role in building robust, scalable ML pipelines, embedding responsible AI governance, and integrating innovative GenAI techniques—such as Retrieval-Augmented Generation (RAG) and LLM-based applications —into real-world systems. You will collaborate with cross-functional teams of data scientists, data engineers, product managers, and business stakeholders to ensure AI solutions are production-ready, resilient, and aligned with strategic business goals. A strong background in Dataiku or similar platforms is highly preferred. Key Responsibilities: Model Development & Deployment Design, implement, and manage scalable ML pipelines using CI/CD practices. Operationalize ML and GenAI models, ensuring high availability, observability, and reliability. Automate data and model validation, versioning, and monitoring processes. Technical Leadership & Mentorship Act as a thought leader and mentor to junior engineers and data scientists on ML-Ops best practices. Define architecture standards and promote engineering excellence across ML-Ops workflows. Innovation & Generative AI Strategy Lead the integration of GenAI capabilities such as RAG and large language models (LLMs) into applications. Identify opportunities to drive business impact through cutting-edge AI technologies and frameworks. Governance & Compliance Implement governance frameworks for model explainability, bias detection, reproducibility, and auditability. Ensure compliance with data privacy, security, and regulatory standards in all ML/AI solutions. Must-Have Skills: 5+ years of experience in ML-Ops, Data Engineering, or Machine Learning. Proficiency in Python, Docker, Kubernetes, and cloud services (AWS/GCP/Azure). Hands-on experience with CI/CD tools (e.g., GitHub Actions, Jenkins, MLflow, or Kubeflow). Deep knowledge of ML pipeline orchestration, model lifecycle management, and monitoring tools. Experience with LLM frameworks (e.g., LangChain, HuggingFace Transformers) and GenAI use cases like RAG. Strong understanding of responsible AI and MLOps governance best practices. Proven ability to work cross-functionally and lead technical discussions. Good-to-Have Skills: Experience with Dataiku DSS or similar platforms (e.g., DataRobot, H2O.ai). Familiarity with vector databases (e.g., FAISS, Pinecone, Weaviate) for GenAI retrieval tasks. Exposure to tools like Apache Airflow, Argo Workflows, or Prefect for orchestration. Understanding of ML evaluation metrics in a production context (drift detection, data integrity checks). Experience in mentoring, technical leadership, or project ownership roles. Why Join Us? Be at the forefront of AI innovation and shape how cutting-edge technologies drive business transformation. Join a collaborative, forward-thinking team with a strong emphasis on impact, ownership, and learning. Competitive compensation, remote flexibility, and opportunities for career advancement. Skills Artificial Intelligence,Python,ML-OPS About UST UST is a global digital transformation solutions provider. For more than 20 years, UST has worked side by side with the world’s best companies to make a real impact through transformation. Powered by technology, inspired by people and led by purpose, UST partners with their clients from design to operation. With deep domain expertise and a future-proof philosophy, UST embeds innovation and agility into their clients’ organizations. With over 30,000 employees in 30 countries, UST builds for boundless impact—touching billions of lives in the process.

About BNP Paribas India Solutions Established in 2005, BNP Paribas India Solutions is a wholly owned subsidiary of BNP Paribas SA, European Union’s leading bank with an international reach. With delivery centers located in Bengaluru, Chennai and Mumbai, we are a 24x7 global delivery center. India Solutions services three business lines: Corporate and Institutional Banking, Investment Solutions and Retail Banking for BNP Paribas across the Group. Driving innovation and growth, we are harnessing the potential of over 10000 employees, to provide support and develop best-in-class solutions. About BNP Paribas Group BNP Paribas is the European Union’s leading bank and key player in international banking. It operates in 65 countries and has nearly 185,000 employees, including more than 145,000 in Europe. The Group has key positions in its three main fields of activity: Commercial, Personal Banking & Services for the Group’s commercial & personal banking and several specialized businesses including BNP Paribas Personal Finance and Arval; Investment & Protection Services for savings, investment, and protection solutions; and Corporate & Institutional Banking, focused on corporate and institutional clients. Based on its strong diversified and integrated model, the Group helps all its clients (individuals, community associations, entrepreneurs, SMEs, corporate and institutional clients) to realize their projects through solutions spanning financing, investment, savings and protection insurance. In Europe, BNP Paribas has four domestic markets: Belgium, France, Italy, and Luxembourg. The Group is rolling out its integrated commercial & personal banking model across several Mediterranean countries, Turkey, and Eastern Europe. As a key player in international banking, the Group has leading platforms and business lines in Europe, a strong presence in the Americas as well as a solid and fast-growing business in Asia-Pacific. BNP Paribas has implemented a Corporate Social Responsibility approach in all its activities, enabling it to contribute to the construction of a sustainable future, while ensuring the Group's performance and stability Commitment to Diversity and Inclusion At BNP Paribas, we passionately embrace diversity and are committed to fostering an inclusive workplace where all employees are valued, respected and can bring their authentic selves to work. We prohibit Discrimination and Harassment of any kind and our policies promote equal employment opportunity for all employees and applicants, irrespective of, but not limited to their gender, gender identity, sex, sexual orientation, ethnicity, race, colour, national origin, age, religion, social status, mental or physical disabilities, veteran status etc. As a global Bank, we truly believe that inclusion and diversity of our teams is key to our success in serving our clients and the communities we operate in. About Business Line/Function BNP Paribas IT teams are providing infrastructure, development and production support services to all applications used worldwide by all business lines. There is a great variety of technologies and infrastructures from legacy systems to cutting edge Cloud technologies. Within BNP Paribas Group IT, teams are organized in several divisions called “APS” which are each responsible for a business line. French Retail Banking Personal Finance Payments Group Functions. The current position is to be filled within Real Estate APS team. CTO Personal Real Estate is responsible of the Production for Real Estate, either Application Production, Infrastructure and/or Production Security. The organization relies on Producers (ITG, BP2I, CIB ITO, Local Producer) for Infrastructure services and platforms. The CTO manages Application Production for Real Estate Manage Production environment for applications, guaranteeing quality & stability for Business, relying on Data. Frame & run conditions to consume infrastructure services for applications in a secured mode. Advice Métiers to adopt proper technologies means regards to business application needs Job Title ITOPS / Automation & Tooling Engineer Date Jan, 2025 Department ISPL ITGP Location: Chennai/Bangalore Business Line / Function RE APS Reports To (Direct) ISPL ITGP RE APS Lead Grade (if applicable) (Functional) NA Number Of Direct Reports Directorship / Registration: NA Position Purpose The ISPL RE APS Automation & Tooling team is being built to set-up a Real Estate APS Center of excellence in synergy with teams in France & other international sites of Real Estate APS. Leveraging BNP Paribas Paris team’s expertise and ISPL IT skills, to deliver automated and standardized solutions. The APS Automation & Tooling team is meant to provide a set of added value, Industrialized solution and services contributing to major IT transformations including infrastructure obsolescence management, modernization of our tools & technologies, automation of our operations and definition of referential guidelines. The Production Engineer – Automation and tooling will be primarily responsible for ensuring the setup and maintenance of automation and reporting models, while contributing to project and programs linked to the RE APS. This team will actively co-ordinate & lead together with France team on different transformation levers of Real Estate Production. To meet these challenges, the APS team will be using BNP Paribas procedures and processes defined by Paris teams or jointly defined with ISPL teams. A strong relationship is also to be built between the RE APS team and dedicated business lines’ teams. The team’s scope will be expanded in the future beyond the first set of described activities depending on business applications needs and the overall BNP Paribas IT organisation. Responsibilities Direct Responsibilities The Production engineer Automation & tooling duties are as follows, as a whole or in part Ansible development Continuous deployment tool & support Certificates Renewal Service now automation Monitoring and alerting setup Develop and maintain dashboards and reporting. Ensuring descriptive modelling Ensuring knowledge sharing Ensuring quality and security Contributing Responsibilities Contribute to the knowledge transfer with Paris APS teams. Contribute to the definition of procedures and processes necessary for the team. Help build team spirit and integrate into BNP Paribas culture. Contribute to the regular activity reporting and KPI calculation. Contribute to continuous improvement actions. Contribute to the acquisition by ISPL team of new skills & knowledge to expand its scope. Contributing to continuous process improvement Contributing to user training and information Contribute to projects and programs Technical & Behavioral Competencies Strong Knowledge of ITIL Strong knowledge IT infrastructure Knowledge of ansible Knowledge on Production tools like Dynatrace, Elastic Search, Autosys. Strong knowledge of Data visualization tools (Tableau) Knowledge of Scripting and automatization workflows Strong knowledge of data processing (Dataiku) Knowledge of Data Lab environment - Test & learn methodologies Methodologies Test AB Experience on control methodology Good written and spoken English. Measure and identify areas for improving Quality and overall Delivery. Able to communicate efficiently. Good Team Player Knowledge of service Now development Skills Referential Specific Qualifications (if required) Behavioural Skills: (Please select up to 4 skills) Ability to collaborate / Teamwork Ability to deliver / Results driven Communication skills - oral & written Attention to detail / rigor Transversal Skills: (Please select up to 5 skills) Ability to develop and adapt a process Analytical Ability Ability to set up relevant performance indicators Ability to understand, explain and support change Ability to manage / facilitate a meeting, seminar, committee, training… Education Level Master Degree or equivalent Experience Level At least 3 years Show more Show less

Job Description Pfizer’s Chief Digital Office (CDO) leads the transformation of Pfizer into a digital powerhouse that will generate patient superior experiences which results in better health outcomes. The Analytics Experience team, which is part of the Artificial Intelligence, Data and Advanced Analytics (AIDA) organization, is responsible for the creating a seamless experience for analytics experts to harness the potential of big data, machine learning, and interactive analytics through a unified platform across the enterprise – from scientific/clinical to commercial across all Pfizer geographies. Part of the Analytics Experience team are a group of Platform Engineers who are responsible for managing components that form the enterprise analytics platform. The enterprise analytics platform will be the digital engine that brings together investments we have made into a unified experience for colleagues that take us to the next level of value creation. It powers next generation insights by developing enterprise-grade data foundations, allowing data to flow horizontally, enabling a versatile analytics environment, and embedding insights into day-to-day work to create a digital, data-driven culture. In this role, you will act as an experienced engineer for the Data Science platform that serves a diverse group of colleagues – ranging from novice business analysts to expert data scientists – across the enterprise. The role will require the ability to flex between technical engineering of the platform and hands on working knowledge creating data science applications as a user of the platform. You may have a software development background, or an engineering background or you were raised in a modern data analytics culture from the start of your career. You will have the ability to work with technology vendors, support resources, delivery partners, Pfizer stakeholders, and apply emerging and traditional technologies for analytics improvements in support of enterprise analytics platform strategy. Role Responsibilities Support the operations of multiple Dataiku DSS environments globally – and supporting self-service tenants Support the automation of operation, installation, and monitoring of the data science ecosystem components in our infrastructure stack Resolve critical support issues with a high degree of technical complexity. Document knowledge in the form of incident notes, technical articles, and contributions to knowledge bases or forums within specific areas of expertise. Measure and monitor service and support performance and health (SLAs, KPIs, etc.) Perform maintenance activities to ensure high availability Partner with User Success team to maintain key informational content, drive platform adoption, and champion a strong user community Collaborate with engineering and support teams on platform lifecycle management Support change governance and continuous improvement efforts Collaborate with vendors and internal engineering teams on evaluating new technologies, supportability Develop and maintain operational run-books and training curricula for support teams Directly engage and communicate with key business and technical stakeholders Basic Qualifications Bachelor's degree in Computer Science, Statistics, or related field 5+ years of relevant professional experience Experience with engineering or technical role experience, ideally involving a complex and rapidly evolving software/product Comfort working with and reading code. Experience working with at least one type of relational database and SQL. Some experience with big data technologies, such as Hadoop, Spark, or Kubernetes. Some experience with cloud platforms such as AWS, Azure, and GCP. Some experience with python. Grit when faced with technical issues - you don't rest until you understand what is happening and why things are not working. Excellent problem solving and analytical skills with an aptitude for learning new technologies. Strong communication skills and the ability to interface with both technical and non-technical individuals as needed. Hands-on experience and proficiency with DevOps and information tools – e.g., JIRA, Confluence, SharePoint, Yammer, etc. Excellent verbal and written communication skills Preferred Qualifications Familiarity with Ansible and other application deployment tools. Some experience with authentication and authorization systems like LDAP, Kerberos, AD, and IAM Some experience debugging networking issues such as DNS resolutions, proxy settings, security groups Some knowledge of data science / machine learning Some knowledge of Java Pfizer is an equal opportunity employer and complies with all applicable equal employment opportunity legislation in each jurisdiction in which it operates. Information & Business Tech Show more Show less

Looking for experienced Dataiku Developer Engineer with 5 8 years of experience, who can translate ideas and requirements into a full-fledged and scalable Dataiku solutions. Candidates must have exposure to Dataiku 12 and above along with a clear understanding of building custom code and visual recipes. The consultant hired will sit with the business understand the requirement in hand and formulate the desired solution Must Have Experience working with Dataiku flow, recipes, jobs, webappsExperience with Python and Pyspark coding experience. Experience of deploying solutions in Dataiku automation node. Experience building or managing CI/CD pipeline using Jenkins. Show more Show less

Role Description Job Title: Lead ML-Ops Engineer – GenAI & Scalable ML Systems Location: Any UST Job Type: Full-Time Experience Level: Senior / Lead Role Overview We are seeking a Lead ML-Ops Engineer to spearhead the end-to-end operationalization of machine learning and Generative AI models across our platforms. You will play a pivotal role in building robust, scalable ML pipelines, embedding responsible AI governance, and integrating innovative GenAI techniques—such as Retrieval-Augmented Generation (RAG) and LLM-based applications —into real-world systems. You will collaborate with cross-functional teams of data scientists, data engineers, product managers, and business stakeholders to ensure AI solutions are production-ready, resilient, and aligned with strategic business goals. A strong background in Dataiku or similar platforms is highly preferred. Key Responsibilities Model Development & Deployment Design, implement, and manage scalable ML pipelines using CI/CD practices. Operationalize ML and GenAI models, ensuring high availability, observability, and reliability. Automate data and model validation, versioning, and monitoring processes. Technical Leadership & Mentorship Act as a thought leader and mentor to junior engineers and data scientists on ML-Ops best practices. Define architecture standards and promote engineering excellence across ML-Ops workflows. Innovation & Generative AI Strategy Lead the integration of GenAI capabilities such as RAG and large language models (LLMs) into applications. Identify opportunities to drive business impact through cutting-edge AI technologies and frameworks. Governance & Compliance Implement governance frameworks for model explainability, bias detection, reproducibility, and auditability. Ensure compliance with data privacy, security, and regulatory standards in all ML/AI solutions. Must-Have Skills 5+ years of experience in ML-Ops, Data Engineering, or Machine Learning. Proficiency in Python, Docker, Kubernetes, and cloud services (AWS/GCP/Azure). Hands-on experience with CI/CD tools (e.g., GitHub Actions, Jenkins, MLflow, or Kubeflow). Deep knowledge of ML pipeline orchestration, model lifecycle management, and monitoring tools. Experience with LLM frameworks (e.g., LangChain, HuggingFace Transformers) and GenAI use cases like RAG. Strong understanding of responsible AI and MLOps governance best practices. Proven ability to work cross-functionally and lead technical discussions. Good-to-Have Skills Experience with Dataiku DSS or similar platforms (e.g., DataRobot, H2O.ai). Familiarity with vector databases (e.g., FAISS, Pinecone, Weaviate) for GenAI retrieval tasks. Exposure to tools like Apache Airflow, Argo Workflows, or Prefect for orchestration. Understanding of ML evaluation metrics in a production context (drift detection, data integrity checks). Experience in mentoring, technical leadership, or project ownership roles. Why Join Us? Be at the forefront of AI innovation and shape how cutting-edge technologies drive business transformation. Join a collaborative, forward-thinking team with a strong emphasis on impact, ownership, and learning. Competitive compensation, remote flexibility, and opportunities for career advancement. Skills Artificial Intelligence,Python,ML-OPS Show more Show less

Job Description Are you an innovative technical expert, looking for an opportunity to use your technology skills and strengths to impact a product centric data and analytics organization within an enterprise? Are you looking for an opportunity where you will be able to help various products and services teams build their solutions in a modular fashion, which enables an end-to-end customer journey in an integrated fashion? Are you looking to go beyond just platforms and technologies and build true value add, self-serve data and analytics products? If so, come join us and help us build one of the industry’s most complete and advanced data and analytics eco system. As a MLOPs Analyst, you will be pivotal in shaping the future of our AI/ML technology landscape. We are looking for a skilled professional to join our team, responsible for bridging the gap between machine learning model development and operational deployment. In this role, you will focus on the implementation, monitoring, and optimization of end-to-end machine learning workflows, ensuring that AI/ML solutions are effectively integrated into our business processes and deliver measurable value. You will work closely with technical product managers, architects, and other stakeholders to design and implement enterprise-level AI/ML solutions at scale. You should be proactive in learning and experimenting with emerging AI/ML technologies, demonstrating a commitment to continuous improvement and innovation. What you'll do Design and implement automated workflows for model training, validation, and deployment, utilizing CI/CD practices tailored for AI/ML. Collaborate with data scientists and engineers to deploy machine learning models into production environments, ensuring scalability and reliability. Establish monitoring systems to track model performance and drifts and implement strategies for model retraining and updates as necessary. Maintain comprehensive documentation of MLOps processes, deployment procedures, and operational guidelines. Assist in establishing efficient and secure enterprise standards for the pre-training, fine-tuning, and deployment of custom generative AI models. Evaluate new capabilities within AI/ML products, develop customized functionalities using programming languages such as R and Python, utilize AWS services and implement CI/CD model deployment strategies and solutions. Partner with product managers and architects to craft technical solutions that meet business requirements, platform integrations and create technical documentation, training materials, and knowledge-sharing resources related to AI/ML products. Comprehensive testing of AI/ML solutions and quality assurance to ensure the reliability, robustness, and accuracy. Offer technical expertise and assistance to internal stakeholders and implementation teams. Engage effectively with a global, multicultural team both in-person and virtually, across various products to identify and leverage synergies. Required Skills Practical experience with MLOps tools and frameworks (e.g., MLflow, Kubernetes), with a track record of implementing effective MLOps strategies. Understanding of CI/CD pipelines and DevOps practices as they relate to AI/ML. In-depth knowledge of AI/ML platforms like Databricks, Dataiku and Posit. Solid understanding of fundamental machine learning principles. Extensive expertise in the AWS cloud ecosystem, including familiarity with storage, database, streaming and messaging services, as well as AI/ML and cognitive services. Proficiency in R and Python programming languages, with a strong foundation in data engineering and data science principles. Bachelor’s degree in Computer Science, Information Technology, or a related field, along with 5+ years of experience in data science, with a strong focus on MLOps and successful deployment of machine learning models in production environments. Nice to have skills Hands-on experience with version control systems like Git and containerization tools such as Docker. Experience in Agile environments and familiarity with the Scrum framework. Current Employees apply HERE Current Contingent Workers apply HERE Search Firm Representatives Please Read Carefully Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails. Employee Status Regular Relocation VISA Sponsorship Travel Requirements Flexible Work Arrangements Hybrid Shift Valid Driving License Hazardous Material(s) Required Skills Business Intelligence (BI), Database Design, Data Engineering, Data Modeling, Data Science, Data Visualization, Machine Learning, Software Development, Stakeholder Relationship Management, Waterfall Model Preferred Skills Job Posting End Date 06/30/2025 A job posting is effective until 11 59 59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date. Requisition ID R345609 Show more Show less

Job Description Manager, Data Visualization, Power Platform Solutions The Opportunity Based in Hyderabad, join a global healthcare biopharma company and be part of a 130- year legacy of success backed by ethical integrity, forward momentum, and an inspiring mission to achieve new milestones in global healthcare. Be part of an organisation driven by digital technology and data-backed approaches that support a diversified portfolio of prescription medicines, vaccines, and animal health products. Drive innovation and execution excellence. Be a part of a team with passion for using data, analytics, and insights to drive decision-making, and which creates custom software, allowing us to tackle some of the world's greatest health threats. Our Technology Centers focus on creating a space where teams can come together to deliver business solutions that save and improve lives. An integral part of our company’s IT operating model, Tech Centers are globally distributed locations where each IT division has employees to enable our digital transformation journey and drive business outcomes. These locations, in addition to the other sites, are essential to supporting our business and strategy. A focused group of leaders in each Tech Center helps to ensure we can manage and improve each location, from investing in growth, success, and well-being of our people, to making sure colleagues from each IT division feel a sense of belonging to managing critical emergencies. And together, we must leverage the strength of our team to collaborate globally to optimize connections and share best practices across the Tech Centers. Role Overview As a Manager of the Microsoft Power Platform, you will focus on designing and developing comprehensive solutions across Power Apps, Power BI, Power Automate, and Power Virtual Agents to drive actionable insights and facilitate intuitive information consumption for internal business stakeholders. The ideal candidate will demonstrate competency in creating user-centric applications, dashboards, automated workflows, and chatbots that empower stakeholders with data-driven insights and support informed decision-making. Our Quantitative Sciences team uses big data to evaluate the safety, and efficacy claims of potential medical breakthroughs. We leverage deep scientific knowledge, rigorous statistical analysis, and high-quality data to assess the quality and reliability of clinical studies, thereby supporting data-driven decision-making in clinical trials. What Will You Do In This Role Design and develop user-centric solutions utilizing the full suite of Power Platform tools (Power BI, Power Apps, Power Automate) with complex data sources. Identify and define key business metrics and KPIs in partnership with business stakeholders. Define and develop scalable data models with alignment and support from data engineering and IT teams. Lead UI/UX workshops to develop user stories, wireframes, and intuitive applications and workflows. Collaborate with data engineering, data science, and IT teams to deliver comprehensive business solutions including dashboards, applications, and automated workflows. Apply best practices in solution design across Power Platform components and continuously improve user experience for business stakeholders. Provide thought leadership on Power Platform best practices to the broader Data & Analytics organization. Identify opportunities to apply Power Platform technologies to streamline and enhance manual/legacy processes and reporting deliveries. Provide training and coaching to internal stakeholders to enable a self-service operating model across the Power Platform. Co-create information governance and apply data privacy best practices to Power Platform solutions. Continuously innovate on best practices and technologies within the Power Platform by reviewing external resources and marketplace trends. What Should You Have 5 years of relevant experience in designing and implementing solutions using the Power Platform tools. Experience and knowledge in Power Platform technologies including Power BI, Power Apps, and Power Automate. Experience with other data visualization technologies such as QLIK, Spotfire, and Tableau is a plus. Experience and knowledge in ETL processes, data modeling techniques, and platforms (Alteryx, Informatica, Dataiku, etc.). Experience working with database technologies (Redshift, Oracle, Snowflake, etc.) and data processing languages (SQL, Python, R, etc.). Experience in leveraging and managing third-party vendors and contractors. Self-motivation, proactivity, and the ability to work independently with minimal direction. Excellent interpersonal and communication skills. Excellent organizational skills, with the ability to navigate a complex matrix environment and organize/prioritize work efficiently and effectively. Demonstrated ability to collaborate with and lead diverse groups of colleagues and positively manage ambiguity. Experience in the Pharma and/or Biotech industry is a plus. Our technology teams operate as business partners, proposing ideas and innovative solutions that enable new organizational capabilities. We collaborate internationally to deliver services and solutions that help everyone be more productive and enable innovation. Who We Are We are known as Merck & Co., Inc., Rahway, New Jersey, USA in the United States and Canada and MSD everywhere else. For more than a century, we have been inventing for life, bringing forward medicines and vaccines for many of the world's most challenging diseases. Today, our company continues to be at the forefront of research to deliver innovative health solutions and advance the prevention and treatment of diseases that threaten people and animals around the world. What We Look For Imagine getting up in the morning for a job as important as helping to save and improve lives around the world. Here, you have that opportunity. You can put your empathy, creativity, digital mastery, or scientific genius to work in collaboration with a diverse group of colleagues who pursue and bring hope to countless people who are battling some of the most challenging diseases of our time. Our team is constantly evolving, so if you are among the intellectually curious, join us—and start making your impact today. #HYDIT2025 Current Employees apply HERE Current Contingent Workers apply HERE Search Firm Representatives Please Read Carefully Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails. Employee Status Regular Relocation VISA Sponsorship Travel Requirements Flexible Work Arrangements Hybrid Shift Valid Driving License Hazardous Material(s) Required Skills Business Intelligence (BI), Database Administration, Data Engineering, Data Management, Data Modeling, Data Visualization, Design Applications, Information Management, Software Development, Software Development Life Cycle (SDLC), System Designs Preferred Skills Job Posting End Date 06/15/2025 A job posting is effective until 11 59 59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date. Requisition ID R342329 Show more Show less

Job Description Manager, Data Scientist The Opportunity Based in Hyderabad, join a global healthcare biopharma company and be part of a 130- year legacy of success backed by ethical integrity, forward momentum, and an inspiring mission to achieve new milestones in global healthcare. Be part of an organisation driven by digital technology and data-backed approaches that support a diversified portfolio of prescription medicines, vaccines, and animal health products. Drive innovation and execution excellence. Be a part of a team with passion for using data, analytics, and insights to drive decision-making, and which creates custom software, allowing us to tackle some of the world's greatest health threats. Our Technology Centers focus on creating a space where teams can come together to deliver business solutions that save and improve lives. An integral part of our company’s IT operating model, Tech Centers are globally distributed locations where each IT division has employees to enable our digital transformation journey and drive business outcomes. These locations, in addition to the other sites, are essential to supporting our business and strategy. A focused group of leaders in each Tech Center helps to ensure we can manage and improve each location, from investing in growth, success, and well-being of our people, to making sure colleagues from each IT division feel a sense of belonging to managing critical emergencies. And together, we must leverage the strength of our team to collaborate globally to optimize connections and share best practices across the Tech Centers. Role Overview We are seeking a Senior Data Scientist to join our Enterprise IT Advanced Analytics team in our company. This role offers an exciting opportunity to work on initiatives that support our Finance, Procurement, Human Resources, and related business partners. If you have a strong background in machine learning, data science, and optionally large language models, and are passionate about leveraging technology to drive business success, we would love to hear from you. What Will You Do In This Role Understand the needs of the business and translate those needs into technical/DS/ML language. Assess the applicability and develop machine learning and data science solutions to given problems with a focus on AI/ML methods, including large language models. Leverage software engineering methods, including coding, testing, and documentation. Apply data engineering and data modeling skills as needed to deliver the AI/ML solutions. Use visual analytics techniques during the data and business exploration and model building, and, if needed, as a part of the client-facing solution. Define, document, and execute small projects or sub-projects, managing risks and stakeholder involvement. Manage junior staff as a part of the delivery. Within a project delivery, manage stakeholder relationships, including problem resolution and feedback collection. Collaborate cross-functionally to deliver more complex IT or business solutions What Should You Have 3+ years’ experience as a Data Scientist Required Advanced knowledge of statistical modelling and machine learning, in particular regression, classification and forecasting models Proficiency in R and/or Python, git Experience in software development and data engineering with a focus on ML solution build and deployment Ability to apply data engineering and data modelling on a level supporting DS delivery Ability to apply visual analytics techniques and tools on a level supporting DS delivery Experience in project management, including risk management and stakeholder management Working proficiency in English language Preferred Knowledge of large language models (prompt engineering, RAG, agents...), not limited to GPT Knowledge of mathematical optimization techniques Advanced MLOps skills – DS/AI/ML solution build, deployment, monitoring Experience in one or multiple of the supported business functions and types of data (structured and unstructured) existing across those functions Knowledge of cloud services, in particular AWS stack Knowledge of data science platforms Dataiku, Databricks Experience in a similar role in a global, research-oriented pharmaceutical company Proven track record of implementing machine learning and data science solutions Experience in managing stakeholder relationships Demonstrated experience in software development and data engineering Proven experience in project management Our technology teams operate as business partners, proposing ideas and innovative solutions that enable new organizational capabilities. We collaborate internationally to deliver services and solutions that help everyone be more productive and enable innovation. Who We Are We are known as Merck & Co., Inc., Rahway, New Jersey, USA in the United States and Canada and MSD everywhere else. For more than a century, we have been inventing for life, bringing forward medicines and vaccines for many of the world's most challenging diseases. Today, our company continues to be at the forefront of research to deliver innovative health solutions and advance the prevention and treatment of diseases that threaten people and animals around the world. What We Look For Imagine getting up in the morning for a job as important as helping to save and improve lives around the world. Here, you have that opportunity. You can put your empathy, creativity, digital mastery, or scientific genius to work in collaboration with a diverse group of colleagues who pursue and bring hope to countless people who are battling some of the most challenging diseases of our time. Our team is constantly evolving, so if you are among the intellectually curious, join us—and start making your impact today. #HYDIT2025 Current Employees apply HERE Current Contingent Workers apply HERE Search Firm Representatives Please Read Carefully Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails. Employee Status Regular Relocation VISA Sponsorship Travel Requirements Flexible Work Arrangements Hybrid Shift Valid Driving License Hazardous Material(s) Required Skills Business Intelligence (BI), Database Design, Data Engineering, Data Modeling, Data Science, Data Visualization, Machine Learning, Software Development, Stakeholder Relationship Management, Waterfall Model Preferred Skills Job Posting End Date 06/15/2025 A job posting is effective until 11 59 59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date. Requisition ID R342323 Show more Show less

Job Description Senior Specialist, Payer Research and Analytics The Payer Research and Analytics Senior Specialist will be responsible for supporting our GMAX and Payer Marketing organizations with primary and secondary payer research. This person will work closely with the Director of Payer Research and Analytics on a broad range of projects related to summarizing the access landscape for specific disease areas, pricing and contracting and reimbursement, analytics payer projects developing and communicating data-driven and actionable insights to our Company’s Global Market Access (GMAx) organization. The preferred candidate will have experience in both primary and secondary research in the market access space. The candidate should have an entrepreneurial spirit, consultative mindset, strong understanding of market access data, commercial analytics capabilities, and technology. This person should have the ability to create structure, break down unstructured problem statements into solvable chunks, deliver the appropriate insights, analytics, or data solution. The person will be required to have a growth mindset and embody a culture of continuous learning. This role will require interfacing and collaborating with many teams. Strong communication skills are essential for a candidate to be successful in this role. Individuals who will thrive in this role are motivated by developing a deep understanding of the market access environment and possess an ability to define and translate objectives and business questions into solvable pieces, drive solutioning, enable inter-connected problem solving, produce actionable insights and high-quality deliverables. Primary Responsibilities Partner with the payer marketing and GMAX teams to lead and manage primary and secondary research projects Support therapeutically aligned Payer Research and Analytics Director (Oncology/Pharma/Vaccine/Early Pipeline) Understand business stakeholders' priorities and help develop data and analytical solutions that support business objectives in collaboration with the broader commercial insight teams. Develop and shape internal, high quality market access insight deliverables Work with global market access leadership to prioritize the work that needs to be done considering the capacity availability within HHDDA. Travel may be required ( Education Minimum Requirements Undergraduate degree in related discipline required MBA or Master’s degree in Business, Finance, Public Health, Policy, Pharmacy, Engineering, Mathematics, Statistics, Computer Science preferred Required Experience And Skills Minimum of 6+ years of experience in the pharmaceutical/biotech or management consulting industry. Strong understanding of market access landscape and commercial analytics capabilities (market research, forecasting, data driven analytics, advanced analytics). Self-motivated, proactive, ability to work independently and collaborate seamlessly. Ability to understand business process and break down business questions into specific, tangible hypotheses and requirements to guide analysis. Excellent problem-solving skills with an appreciation for data oriented analytical methods. Ability to operate in an unstructured environment and have strong organizational skills to create structure and clarity. Excellent organizational skills, with ability to navigate a complex matrix environment and organize/prioritize work efficiently and effectively. Excellent interpersonal and communication skills. Preferred Experience And Skills Experience in market access, strategy and/or commercial analytics (market research, data analytics, business intelligence and/or forecasting). Experience managing Primary Research projects with external vendors. Proficient in program languages for analyzing data and visualization software (Python, SQL, Dataiku, PowerBI etc.) would be an added advantage. Current Employees apply HERE Current Contingent Workers apply HERE Search Firm Representatives Please Read Carefully Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails. Employee Status Regular Relocation VISA Sponsorship Travel Requirements Flexible Work Arrangements Hybrid Shift Valid Driving License Hazardous Material(s) Required Skills Business Analysis, Marketing, Researching, Stakeholder Relationship Management, Supplier Management, User Research, Waterfall Model Preferred Skills Job Posting End Date 07/15/2025 A job posting is effective until 11 59 59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date. Requisition ID R335033 Show more Show less

Job Description Associate Specialist/Analyst - Data Science At our company we are leveraging analytics and technology, as we invent for life on behalf of patients around the world. We are seeking those who have a passion for using data, analytics, and insights to drive decision making, that will allow us to tackle some of the world’s greatest health threats. Within our commercial Insights, Analytics, and Data organization we are transforming to better power decision-making across our end-to-end commercialisation process, from business development to late lifecycle management. As we endeavor, we are seeking a dynamic talent to serve in the role of Analyst - Data Science. This role involves working with our partners in different Therapeutic areas (e.g. Oncology, Vaccines, Pharma & Rare Disease, etc.) and Domain areas (HCP Analytics, Patient Analytics, Segmentation & targeting, Market Access, etc.) across the organization to help create scalable and production-grade analytics solutions, ranging from data visualization and reporting to advanced statistical and AI/ML models. You will work in one of the three therapeutic areas of Brand Strategy and Performance Analytics – Oncology/Vaccines/Pharma & Rare Disease, where you will play a pivotal role in leveraging your statistical and machine learning expertise to address critical business challenges and derive insights to drive key decisions. Working alongside experienced data scientists and business analysts, you will have the opportunity to collaborate in translating business queries into analytical problems, employing your critical thinking, problem-solving, statistical, machine learning, and data visualization skills to deliver impactful solutions. We are seeking candidates with prior experience in the healthcare analytics or consulting sectors, prior hands-on experience in Data Science (building end-to-end ML models). It is preferred that you have a good understanding of Physician and Patient-level data (PLD) from leading vendors such as IQVIA, Komodo, and Optum. Familiarity with HCP Analytics, PLD analytics, concepts like persistence, compliance, line of therapy, etc., or Segmentation & Targeting is highly desirable. You will be part of a dynamic team that collaborates with our partners across therapeutic areas. Furthermore, effective communication skills are crucial, as this role requires interfacing with executive and business stakeholders. Who You Are You understand the foundations of statistics and machine learning and can work in high performance computing/cloud environments, with experience/knowledge in aspects across statistical analysis, machine learning, model development, data engineering, data visualization, and data interpretation You are self-motivated, and have demonstrated abilities to think independently as a data scientist You structure your data science approach according to the necessary task, while appropriately applying the correct level of model complexity to the problem at hand You have an agile mindset of continuous learning and will focus on integrating enterprise value into team culture You are kind, collaborative, and capable of seeking and giving candid feedback that effectively contributes to a more seamless day-to-day execution of tasks Key Responsibilities Understand the business requirements and support the manager to translate those to analytical problem statements. Implement the solution steps through SQL/Python, appropriate ML techniques without rigorous handholding. Follow technical requirements (Datasets, business rules, technical architecture) and industry best practices in every task. Collaborate with cross-functional teams to design and implement solutions that meet business requirements. Present the findings to US DS stakeholders in a clear and concise manner and address feedback. Adopt a continuous learning mindset, both technical and functional. Develop deep expertise in therapeutic area, with clear focus on commercial aspects. Minimum Qualifications Bachelor’s degree with at least 0-3 years industry experience (experience requirement can be waived off for exceptional candidates) Strong Python/R, SQL, Excel skills Strong foundations of statistics and machine learning Preferred Qualifications Advanced degree in STEM (MS, MBA, PhD) 1-3 years’ experience in healthcare analytics and consulting Familiarity with Physician and Patient-Level data (e.g., claims, electronic health records) and data from common healthcare data vendors (IQVIA, Optum, Komodo, etc.) Experience in HCP & Patient Level Data analytics (e.g., HCP Segmentation & targeting, Patient Cohorts, knowledge of Lines of Therapy, Persistency, Compliance, etc.) Proficiency in Data Science Concepts, Microsoft Excel and PowerPoint, and familiarity with Dataiku Our Human Health Division maintains a “patient first, profits later” ideology. The organization is comprised of sales, marketing, market access, digital analytics and commercial professionals who are passionate about their role in bringing our medicines to our customers worldwide. We are proud to be a company that embraces the value of bringing diverse, talented, and committed people together. The fastest way to breakthrough innovation is when diverse ideas come together in an inclusive environment. We encourage our colleagues to respectfully challenge one another’s thinking and approach problems collectively. We are an equal opportunity employer, committed to fostering an inclusive and diverse workplace. Current Employees apply HERE Current Contingent Workers apply HERE Search Firm Representatives Please Read Carefully Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails. Employee Status Regular Relocation VISA Sponsorship Travel Requirements Flexible Work Arrangements Hybrid Shift Valid Driving License Hazardous Material(s) Required Skills Business Intelligence (BI), Database Design, Data Engineering, Data Modeling, Data Science, Data Visualization, Machine Learning, Software Development, Stakeholder Relationship Management, Waterfall Model Preferred Skills Job Posting End Date 06/30/2025 A job posting is effective until 11 59 59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date. Requisition ID R338317 Show more Show less

Morgan Stanley Model Risk process Validation Group - Associate Profile Description We’re seeking someone to join our team as a [Associate] to [Model Risk Process Validation Group]. Firm Risk Management In the Firm Risk Management division, we advise businesses across the Firm on risk mitigation strategies, develop tools to analyze and monitor risks and lead key regulatory initiatives. Company Profile Morgan Stanley is an industry leader in financial services, known for mobilizing capital to help governments, corporations, institutions, and individuals around the world achieve their financial goals. Since 1935, Morgan Stanley is known as a global leader in financial services, always evolving and innovating to better serve our clients and our communities in more than 40 countries around the world. What You’ll Do In The Role The primary responsibilities of the role include, but are not limited to the following: Primary Responsibilities Perform independent validations of select FRM processes and controls, including those relating to regulatory and Basel requirements; Support execution of reviews (e.g., planning, documenting, reporting) and continuous monitoring activities (e.g., risk assessments); Contribute to improving the team's validation methodology and execution capabilities; Interface with key stakeholders, governing bodies, and business partners to review status of validation work, results of test work, and quarterly reporting; Partner with other independent validation teams, e.g., Model Risk Management, Regulatory Reporting Quality Assurance (RRQA), to support a unified validation program end-to-end. Experience What you’ll bring to the role: Bachelor's or higher degree in Finance, Economics, Computer Science, Mathematics, Engineering or other business or risk management related areas Experience from consulting, risk management, or internal audit covering processes and controls across risk stripes (e.g., Credit, Market, Liquidity, Capital and Data Risk) Experience in data analytics, data visualization, or process automation Strong risk, process, and control validation/testing, and assessment skills Strong communication and analytical skills A commitment to teamwork Ability to prioritize and manage multiple competing objectives. Skills Strong understanding banking regulatory environment, including familiarity with Bank of International Settlements (BIS) principles (e.g, Basel III, BCBS 239, FRTB) and FRB Capital Planning requirements and practices (e.g., CCAR, DFAST) 3+ years of relevant industry experience with core banking, investment and trading products, and banking regulations (e.g., FRB SR 11-07, SR 12-17, SR 14-08, SR 15-18, PRA SS1/23) Understanding of data lineage and database schema; experience working with large data sets, data warehouse, or data lake; knowledge of IT general controls; business analyst experience; Knowledge and experience with data analytics and data visualization tools and systems (e.g., PowerBI, Alteryx, Dataiku, QlikView, Tableau), experience with writing or editing SQL, VBA ,delete VBA, Python and/or other programming languages; advanced Excel knowledge Relevant certifications or designations (e.g., CFA or FRM) (preferred). What You Can Expect From Morgan Stanley We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 89 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren’t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you’ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There’s also ample opportunity to move about the business for those who show passion and grit in their work. Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives, and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing, and advancing individuals based on their skills and talents. Show more Show less

In this role, you will focus on developing data products and analytics solutions for major transformation programs across Macquarie. You will build and maintain strong, trusted stakeholder relationships, manage risk, and promote a collaborative team environment. With a focus on continuous improvement, you will deliver innovative and impactful data solutions. At Macquarie, our advantage is bringing together diverse people and empowering them to shape all kinds of possibilities. We are a global financial services group operating in 31 markets and with 56 years of unbroken profitability. You’ll be part of a friendly and supportive team where everyone - no matter what role - contributes ideas and drives outcomes. What role will you play? Join our Post Trade Data team and be a part of our exciting data transformation initiative. We provide data solutions that facilitate effective data management, data-driven insights, and data automation within our Commodities and Global Markets group. What You Offer Collaborate with business stakeholders to understand and fulfill various requirements; Bachelor's degree with relevant work experience from 2years to 5 years. Exceptional analytical skills with clear and concise communication; Ability to interpret and wrangle data using SQL, Python, or tools like Dataiku and Alteryx; Ability to manage multiple tasks while delivering high-quality, timely results; and Adaptable to evolving business needs, with a finance domain knowledge, especially in commodities, financial markets, and regulatory reporting. We love hearing from anyone inspired to build a better future with us, if you're excited about the role or working at Macquarie we encourage you to apply. About Commodities and Global Markets Commodities and Global Markets is a global business offering capital and financing, risk management, market access, physical execution and logistics solutions to its diverse client base across Commodities, Financial Markets and Asset Finance. Our commitment to diversity, equity and inclusion We are committed to fostering a diverse, equitable and inclusive workplace. We encourage people from all backgrounds to apply and welcome all identities, including race, ethnicity, cultural identity, nationality, gender (including gender identity or expression), age, sexual orientation, marital or partnership status, parental, caregiving or family status, neurodiversity, religion or belief, disability, or socio-economic background. We welcome further discussions on how you can feel included and belong at Macquarie as you progress through our recruitment process. Our aim is to provide reasonable adjustments to individuals who may need support during the recruitment process and through working arrangements. If you require additional assistance, please let us know in the application process. Show more Show less

Join the Commodities and Global Markets Trading team as a data engineer professional in the Power & Gas division. Our team is responsible for identifying, planning, and implementing data solutions for enterprise data using data modelling techniques by leveraging technology and data analytics. This would also involve creating supply and demand models focused on analysing power markets. At Macquarie, our advantage is bringing together diverse people and empowering them to shape all kinds of possibilities. We are a global financial services group operating in 31 markets and with 56 years of unbroken profitability. You’ll be part of a friendly and supportive team where everyone - no matter what role - contributes ideas and drives outcomes. What role will you play? In this role, you will utilize advanced modelling techniques (ex. regression, classification algorithms) to determine the relationship between energy market variables and maintain/develop data visualization dashboards with the evolving needs of the trading desk and broader research via Plotly Dash, Bokeh, and/or other Python based dashboards. You will also assist in the development of the team’s short to medium-term outlook and participate in discussions centered on power and gas. What You Offer Bachelor's degree in Engineering, Data Analytics, Data Science, MIS, Computer Science, or equivalent experience. Minimum 3 years of experience building data solutions for advanced analytics. 2-4 years of hands-on experience in Python, SQL, R, and JavaScript. Proficient in data integration, data pipelines, and manipulating large data sets using SQL and Power BI. Ability to translate business requirements into data models and experienced with Dataiku and web-based applications. We love hearing from anyone inspired to build a better future with us, if you're excited about the role or working at Macquarie we encourage you to apply. About Commodities and Global Markets Commodities and Global Markets is a global business offering capital and financing, risk management, market access, physical execution and logistics solutions to its diverse client base across Commodities, Financial Markets and Asset Finance. Our commitment to diversity, equity and inclusion We are committed to fostering a diverse, equitable and inclusive workplace. We encourage people from all backgrounds to apply and welcome all identities, including race, ethnicity, cultural identity, nationality, gender (including gender identity or expression), age, sexual orientation, marital or partnership status, parental, caregiving or family status, neurodiversity, religion or belief, disability, or socio-economic background. We welcome further discussions on how you can feel included and belong at Macquarie as you progress through our recruitment process. Our aim is to provide reasonable adjustments to individuals who may need support during the recruitment process and through working arrangements. If you require additional assistance, please let us know in the application process. Show more Show less

Job Description R3 Senior Manager – Data and Analytics Architect The Opportunity Based in Hyderabad, join a global healthcare biopharma company and be part of a 130- year legacy of success backed by ethical integrity, forward momentum, and an inspiring mission to achieve new milestones in global healthcare. Be part of an organisation driven by digital technology and data-backed approaches that support a diversified portfolio of prescription medicines, vaccines, and animal health products. Drive innovation and execution excellence. Be a part of a team with passion for using data, analytics, and insights to drive decision-making, and which creates custom software, allowing us to tackle some of the world's greatest health threats. Our Technology Centre’s focus on creating a space where teams can come together to deliver business solutions that save and improve lives. An integral part of our company’s IT operating model, Tech Centers are globally distributed locations where each IT division has employees to enable our digital transformation journey and drive business outcomes. These locations, in addition to the other sites, are essential to supporting our business and strategy. A focused group of leaders in each Tech Center helps to ensure we can manage and improve each location, from investing in growth, success, and well-being of our people, to making sure colleagues from each IT division feel a sense of belonging to managing critical emergencies. And together, we must leverage the strength of our team to collaborate globally to optimize connections and share best practices across the Tech Centers. Role Overview We are seeking a highly motivated and hands-on Data & Analytics Architect to join our Strategy & Architecture team within CDNA. This mid-level role will play a critical part in designing scalable, reusable, and secure data and analytics solutions across the enterprise. You will work under the guidance of a senior architect and be directly involved in the implementation of architectural patterns, reference solutions, and technical best practices. This is a highly technical role, ideal for someone who enjoys problem-solving, building frameworks, and working in a fast-paced, collaborative environment. What Will You Do In This Role Partner with senior architects to define and implement modern data architecture patterns and reusable frameworks. Design and develop reference implementations for ingestion, transformation, governance, and analytics using tools such as Databricks (must-have), Informatica, AWS Glue, S3, Redshift, and DBT. Contribute to the development of a consistent and governed semantic layer, ensuring alignment in business logic, definitions, and metrics across the enterprise. Work closely with product line teams to ensure architectural compliance, scalability, and interoperability. Build and optimize batch and real-time data pipelines, applying best practices in data modeling, transformation, and metadata management. Contribute to architecture governance processes, participate in design reviews, and document architectural decisions. Support mentoring of junior engineers and help foster a strong technical culture within the India-based team. What Should You Have Bachelor’s degree in information technology, Computer Science or any Technology stream. 5–8 years of experience in data architecture, data engineering, or analytics solution delivery. Proven hands-on experience with Databricks (must), Informatica, AWS data ecosystem (S3, Glue, Redshift, etc.), and DBT. Solid understanding of semantic layer design, including canonical data models and standardized metric logic for enterprise reporting and analytics. Proficient in SQL, Python, or Scala. Strong grasp of data modeling techniques (relational, dimensional, NoSQL), ETL/ELT design, and streaming data frameworks. Knowledge of data governance, data security, lineage, and compliance best practices. Strong collaboration and communication skills across global and distributed teams. Experience with Dataiku or similar data science/analytics platforms is a plus. Exposure to AI/ML and GenAI use cases is advantageous. Background in pharmaceutical, healthcare, or life sciences industries is preferred. Familiarity with API design, data services, and event-driven architecture is beneficial. Our technology teams operate as business partners, proposing ideas and innovative solutions that enable new organizational capabilities. We collaborate internationally to deliver services and solutions that help everyone be more productive and enable innovation. Who We Are We are known as Merck & Co., Inc., Rahway, New Jersey, USA in the United States and Canada and MSD everywhere else. For more than a century, we have been inventing for life, bringing forward medicines and vaccines for many of the world's most challenging diseases. Today, our company continues to be at the forefront of research to deliver innovative health solutions and advance the prevention and treatment of diseases that threaten people and animals around the world. What We Look For Imagine getting up in the morning for a job as important as helping to save and improve lives around the world. Here, you have that opportunity. You can put your empathy, creativity, digital mastery, or scientific genius to work in collaboration with a diverse group of colleagues who pursue and bring hope to countless people who are battling some of the most challenging diseases of our time. Our team is constantly evolving, so if you are among the intellectually curious, join us—and start making your impact today. #HYDIT2025 Current Employees apply HERE Current Contingent Workers apply HERE Search Firm Representatives Please Read Carefully Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails. Employee Status Regular Relocation VISA Sponsorship Travel Requirements Flexible Work Arrangements Hybrid Shift Valid Driving License Hazardous Material(s) Required Skills Business Enterprise Architecture (BEA), Business Process Modeling, Data Modeling, Emerging Technologies, Requirements Management, Solution Architecture, Stakeholder Relationship Management, Strategic Planning, System Designs Preferred Skills Job Posting End Date 06/15/2025 A job posting is effective until 11 59 59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date. Requisition ID R341138 Show more Show less

Job Description Specialist- Data Visualization Our Human Health Digital, Data and Analytics (HHDDA) team is innovating how we understand our patients and their needs. Working cross functionally we are inventing new ways of communicating, measuring, and interacting with our customers and patients leveraging digital, data and analytics. Are you passionate about helping people see and understand data? You will take part in an exciting journey to help transform our organization to be the premier data-driven company. As a Specialist in Data Visualization, you will be focused on designing and developing compelling data visualizations solutions to enable actionable insights & facilitate intuitive information consumption for internal business stakeholders. The ideal candidate will demonstrate competency in building user-centric visuals & dashboards that empower stakeholders with data driven insights & decision-making capability. Responsibilities Develop user-centric scalable visualization and analytical solutions, leveraging complex data sources to create intuitive and insightful dashboards. Apply best practices in visualization design to enhance user experience and business impact. Drive business engagement, collaborating with stakeholders to define key metrics, KPIs, and reporting needs. Facilitate workshops to develop user stories, wireframes, and interactive visualizations. Partner with data engineering, data science, and IT teams to develop scalable business-friendly reporting solutions. Ensure adherence to data governance, privacy, and security best practices. Identify opportunities for automation, streamlining manual reporting processes through modern visualization technologies and self-service analytics enablement. Provide thought leadership, driving knowledge-sharing within the Data & Analytics organization while staying ahead of industry trends to enhance visualization capabilities. Continuously innovative on visualization best practices & technologies by reviewing external resources & marketplace Ensuring timely delivery of high-quality outputs, while creating and maintaining SOPs, KPI libraries, and other essential governance documents. Required Experience And Skills 5+ years of experience in business intelligence, insight generation, business analytics, data visualization, infographics, and interactive visual storytelling Hands-on expertise in BI and visualization tools such as Power BI, MicroStrategy, and ThoughtSpot Solid understanding of data engineering and modeling, including ETL workflows, Dataiku, Databricks, Informatica, and database technologies like Redshift and Snowflake, with programming skills in SQL and Python. Deep knowledge of pharma commercial data sources, including IQVIA, APLD, Claims, Payer, Salesforce, Financials, Veeva, Komodo, IPSOS, and other industry datasets to drive strategic insights. Experience in pharmaceutical commercial analytics, including Field Force Effectiveness, customer engagement, market performance assessment, as well as web, campaign, and digital engagement analytics. Strong problem-solving, communication, and project management skills, with the ability to translate complex data into actionable insights and navigate complex matrix environments efficiently. Strong product management mindset, ensuring analytical solutions are scalable, user-centric, and aligned with business needs, with experience in defining product roadmaps and managing solution lifecycles. Expertise in agile ways of working, including Agile/Scrum methodologies, iterative development, and continuous improvement in data visualization and analytics solutions. Our Human Health Division maintains a “patient first, profits later” ideology. The organization is comprised of sales, marketing, market access, digital analytics and commercial professionals who are passionate about their role in bringing our medicines to our customers worldwide. We are proud to be a company that embraces the value of bringing diverse, talented, and committed people together. The fastest way to breakthrough innovation is when diverse ideas come together in an inclusive environment. We encourage our colleagues to respectfully challenge one another’s thinking and approach problems collectively. We are an equal opportunity employer, committed to fostering an inclusive and diverse workplace. Current Employees apply HERE Current Contingent Workers apply HERE Search Firm Representatives Please Read Carefully Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails. Employee Status Regular Relocation VISA Sponsorship Travel Requirements Flexible Work Arrangements Hybrid Shift Valid Driving License Hazardous Material(s) Required Skills Business Intelligence (BI), Data Visualization, Requirements Management, User Experience (UX) Design Preferred Skills Job Posting End Date 06/30/2025 A job posting is effective until 11 59 59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date. Requisition ID R335067 Show more Show less

We are a technology-led healthcare solutions provider. We are driven by our purpose to enable healthcare organizations to be future-ready. We offer accelerated, global growth opportunities for talent that is bold, industrious and nimble. With Indegene, you gain a unique career experience that celebrates entrepreneurship and is guided by passion, innovation, collaboration and empathy. To explore exciting opportunities at the convergence of healthcare and technology, check out www.careers.indegene.com. What if we told you that you can move to an exciting role in an entrepreneurial organization without the usual risks associated with it? We understand that you are looking for growth and variety in your career at this point and we would love for you to join us in our journey and grow with us. At Indegene, our roles come with the excitement you require at this stage of your career with the reliability you seek. We hire the best and trust them from day 1 to deliver global impact, handle teams and be responsible for the outcomes while our leaders support and mentor you. We are a profitable rapidly growing global organization and are scouting for the best talent for this phase of growth. With us, you are at the intersection of two of the most exciting industries of healthcare and technology. We offer global opportunities with fast-track careers while you work with a team that is fueled by purpose. The combination of these will lead to a truly differentiated experience for you. If this excites you, then apply below. Role: Senior Analyst - Data Science Descriptions: We are looking for a results-driven and hands-on Lead Data Scientist / Analyst with 56 years of experience to lead analytical solutioning and model development in the pharmaceutical commercial analytics domain. The ideal candidate will play a central role in designing and deploying Decision Engine frameworks, implementing advanced analytics solutions, and mentoring junior team members. Key Responsibilities Partner with cross-functional teams and client stakeholders to gather business requirements and translate them into robust ML/analytical solutions. Design and implement Decision Engine workflows to support Next Best Action (NBA) recommendations in omnichannel engagement strategies. Analyze large and complex datasets across sources like APLD, sales, CRM, call plans, market share, patient claims, and segmentation data. Perform ad hoc and deep-dive analyses to address critical business questions across commercial and medical teams. Develop, validate, and maintain predictive models for use cases such as patient journey analytics, HCP targeting, sales forecasting, risk scoring, and marketing mix modeling. Implement MLOps pipelines using Dataiku, Git, and AWS services to support scalable and repeatable deployment of analytics models. Ensure data quality through systematic QC checks, test case creation, and validation frameworks. Lead and mentor junior analysts and data scientists in coding best practices, feature engineering, model interpretability, and cloud-based workflows. Stay up to date with industry trends, regulatory compliance, and emerging data science techniques relevant to life sciences analytics. Must Have 5 years of hands-on experience in pharmaceutical commercial analytics, with exposure to cross-functional brand analytics, omnichannel measurement, and ML modeling. At least 3 years of experience developing and deploying predictive models and ML pipelines in real-world settings. Proven experience with data platforms such as Snowflake, Dataiku, AWS, and proficiency in PySpark, Python, and SQL. Experience with MLOps practices, including version control, model monitoring, and automation. Strong understanding of pharmaceutical data assets (e.g., APLD, DDD, NBRx, TRx, specialty pharmacy, CRM, digital engagement). Proficiency in ML algorithms (e.g., XGBoost, Random Forest, SVM, Logistic Regression, Neural Networks, NLP). Experience in key use cases: Next Best Action, Recommendation Engines, Attribution Models, Segmentation, Marketing ROI, Collaborative Filtering. Hands-on expertise in building explainable ML models and using tools for model monitoring and retraining. Familiarity with dashboarding tools like Tableau or PowerBI is a plus. Strong communication and documentation skills to effectively convey findings to both technical and non-technical audiences. Ability to work in a dynamic, fast-paced environment and deliver results under tight timelines. EQUAL OPPORTUNITY Indegene is proud to be an Equal Employment Employer and is committed to the culture of Inclusion and Diversity. We do not discriminate on the basis of race, religion, sex, colour, age, national origin, pregnancy, sexual orientation, physical ability, or any other characteristics. All employment decisions, from hiring to separation, will be based on business requirements, the candidates merit and qualification. We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, national origin, gender identity, sexual orientation, disability status, protected veteran status, or any other characteristics. Locations - Bangalore, KA, IN Show more Show less

Job Description Be part of the solution at Technip Energies and embark on a one-of-a-kind journey. You will be helping to develop cutting-edge solutions to solve real-world energy problems. About us: Technip Energies is a global technology and engineering powerhouse. With leadership positions in LNG, hydrogen, ethylene, sustainable chemistry, and CO2 management, we are contributing to the development of critical markets such as energy, energy derivatives, decarbonization, and circularity. Our complementary business segments, Technology, Products and Services (TPS) and Project Delivery, turn innovation into scalable and industrial reality. Through collaboration and excellence in execution, our 17,000+ employees across 34 countries are fully committed to bridging prosperity with sustainability for a world designed to last. About the opportunity we offer: We are currently seeking an AI/ML Platform Lead , to join our Digi team based in Noida. Key Responsibilities: Platform Management: Supervise Platform’s operations, maintenance of Dataiku and Azure components. Ensure high availability, performance, and scalability of different AI services. Suggest architecture evolutions to enhance system efficiency and accommodate business strategy Cloud Infrastructure Supervision: Oversee the maintenance and optimization of the Azure cloud infrastructure, ensuring robust security, reliability, and scalability. Supervise the AI platform's performance, implementing proactive measures to prevent downtime in the services and ensure seamless operation. Collaborate with cross-functional teams to align infrastructure improvements with business goals and technological advancements. Operational Excellence: Establish and enforce best practices, governance policies, and security standards across all AI operations. Monitor platform usage, performance metrics, and cost-effectiveness to drive continuous improvement Evaluation of Emerging AI Services: Continuously review and assess new AI services and technologies that may be required for future projects. Ensure the integration of innovative solutions to enhance the platform's capabilities and support evolving business needs. Team Leadership & Collaboration Guide a diverse team comprising DevOps, Dataiku Administrators, MLOps specialists, analysts and Run Team. Cultivate a cooperative atmosphere that promotes innovation and the sharing of ideas Budget and Cost Management: Handle budgeting and cost management for AI Platform, ensuring efficient resource allocation and adherence to budget constraints About you: Proven track record with more than 5 years of experience in AI/ML platform management or similar roles Strong knowledge of machine learning, data analytics, and cloud computing Extensive hands-on experience with technologies such as Dataiku, Azure ML, Azure AI Foundry, and related systems Well-versed in agile methodologies, DevOps practices, and CI/CD pipeline management Ability to manage multiple priorities in a fast-paced, dynamic environment Skilled in leading cross-functional teams and executing large-scale technology initiatives Skills and experience in Agile methodologies is a plus Additional Attributes: A proactive mindset with a focus on leveraging AI to drive business value Experience with budget oversight and resource allocation Knowledge of software development lifecycle and agile methodologies. Work Experience: Minimum of 5 years in AI/ML Platform management or related fields Minimum Education Level: Advanced degree (Master’s or PhD preferred) in Computer Science, Data Science, Engineering, or a related field. Your career with us: Working at Technip Energies is an inspiring journey, filled with groundbreaking projects and dynamic collaborations. Surrounded by diverse and talented individuals, you will feel welcomed, respected, and engaged. Enjoy a safe, caring environment where you can spark new ideas, reimagine the future, and lead change. As your career grows, you will benefit from learning opportunities at T.EN University, such as The Future Ready Program, and from the support of your manager through check-in moments like the Mid-Year Development Review, fostering continuous growth and development What’s next? Once receiving your application, our Talent Acquisition professionals will screen and match your profile against the role requirements. We ask for your patience as the team completes the volume of applications with reasonable timeframe. Check your application progress periodically via personal account from created candidate profile during your application. We invite you to get to know more about our company by visiting and follow us on LinkedIn, Instagram, Facebook, X and YouTube for company updates. Show more Show less

Our Company Teradata is the connected multi-cloud data platform for enterprise analytics company. Our enterprise analytics solve business challenges from start to scale. Only Teradata gives you the flexibility to handle the massive and mixed data workloads of the future, today. The Teradata Vantage architecture is cloud native, delivered as-a-service, and built on an open ecosystem. These design features make Vantage the ideal platform to optimize price performance in a multi-cloud environment. What You’ll Do The Principal Data Scientist (pre-sales) is an experienced and expert Data Scientist, able to provide industry thought-leadership on Analytics and its application across industries and across use-cases. The Principal Data Scientist supports the account team in framing business problems and in identifying analytic solutions that leverage Teradata technology and that are disruptive, innovative - and above all, practical. An articulate and compelling communicator, the Principal Data Scientist establishes our position as an important partner for advanced analytics with customers and prospects and is a trusted advisor to executives, senior managers and fellow data scientists alike across a range of target accounts. They are also a hands-on practitioner who is ready, willing and able to roll-up her sleeves and to deliver POC and short-term pre-sales engagements. The Principal Data Scientist has an excellent theoretical and practical understanding of statistics and machine learning and has a strong track record of applying this understanding at scale to drive business benefit. They are insanely curious and is a natural problem-solver and able to effectively promote Teradata technology and solutions to our customers. Who You’ll Work With The successful candidate will work with other expert team members to Provide pre-sales support at an executive level to the Teradata account teams at a local country, Geo and an International Theatre level. Helping them to position and sell complex Analytic solutions that drive sales of Teradata software. Provide strategic pre-sales consulting to executives and senior managers in our target market. Support the delivery of PoC and PoV projects that demonstrate the viability and applicability of Analytic use-cases and the superiority of Teradata solutions and services. Work with the extended Account team, and Sales Analytics Specialists to develop new Analytic propositions that are aligned with industry trends and customer requirements. What Makes You a Qualified Candidate Have proven hands-on experience of complex analytics at scale for example in the areas of IoT and sensor data. Have experience with Teradata partner’s analytical products, Cloud Service providers such as AzureML and Sagemaker and partner products such as Dataiku and H2O Have strong hands-on programming skills in at least one major analytic programming language and/or tool in addition to SQL Strong understanding of data engineering and database systems. Recognised in the local country, geo and International Theatre as the go-to expert What You’ll Bring An expertise in Data Science with a strong theoretical grounding in statistics, advanced analytics, and machine learning and at least 10 years real-world experience in the application of advanced analytics. A passion about knowledge sharing and demonstrate a commitment to continuous professional development. A Belief in Teradata's Analytic solutions and services and be a commitment to working with the product, engineering, and consulting teams to ensure that they continue to lead the market An ability to turn complex technical subject matter into relatable easy to digest and understand content for senior audiences. a degree level qualification (preferably Masters or PHD) in Statistics, Data Science, the physical or biological sciences or a related discipline Why We Think You’ll Love Teradata We prioritize a people-first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well-being because we care about our people and their ability to thrive both personally and professionally. We are an anti-racist company because our dedication to Diversity, Equity, and Inclusion is more than a statement. It is a deep commitment to doing the work to foster an equitable environment that celebrates people for all of who they are. Teradata invites all identities and backgrounds in the workplace. We work with deliberation and intent to ensure we are cultivating collaboration and inclusivity across our global organization. ​ We are proud to be an equal opportunity and affirmative action employer. We do not discriminate based upon race, color, ancestry, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related conditions), national origin, sexual orientation, age, citizenship, marital status, disability, medical condition, genetic information, gender identity or expression, military and veteran status, or any other legally protected status. Show more Show less

Our Company Teradata is the connected multi-cloud data platform for enterprise analytics company. Our enterprise analytics solve business challenges from start to scale. Only Teradata gives you the flexibility to handle the massive and mixed data workloads of the future, today. The Teradata Vantage architecture is cloud native, delivered as-a-service, and built on an open ecosystem. These design features make Vantage the ideal platform to optimize price performance in a multi-cloud environment. What You’ll Do The Principal Data Scientist (pre-sales) is an experienced and expert Data Scientist, able to provide industry thought-leadership on Analytics and its application across industries and across use-cases. The Principal Data Scientist supports the account team in framing business problems and in identifying analytic solutions that leverage Teradata technology and that are disruptive, innovative - and above all, practical. An articulate and compelling communicator, the Principal Data Scientist establishes our position as an important partner for advanced analytics with customers and prospects and is a trusted advisor to executives, senior managers and fellow data scientists alike across a range of target accounts. They are also a hands-on practitioner who is ready, willing and able to roll-up her sleeves and to deliver POC and short-term pre-sales engagements. The Principal Data Scientist has an excellent theoretical and practical understanding of statistics and machine learning and has a strong track record of applying this understanding at scale to drive business benefit. They are insanely curious and is a natural problem-solver and able to effectively promote Teradata technology and solutions to our customers. Who You’ll Work With The successful candidate will work with other expert team members to Provide pre-sales support at an executive level to the Teradata account teams at a local country, Geo and an International Theatre level. Helping them to position and sell complex Analytic solutions that drive sales of Teradata software. Provide strategic pre-sales consulting to executives and senior managers in our target market. Support the delivery of PoC and PoV projects that demonstrate the viability and applicability of Analytic use-cases and the superiority of Teradata solutions and services. Work with the extended Account team, and Sales Analytics Specialists to develop new Analytic propositions that are aligned with industry trends and customer requirements. What Makes You a Qualified Candidate Have proven hands-on experience of complex analytics at scale for example in the areas of IoT and sensor data. Have experience with Teradata partner’s analytical products, Cloud Service providers such as AzureML and Sagemaker and partner products such as Dataiku and H2O Have strong hands-on programming skills in at least one major analytic programming language and/or tool in addition to SQL Strong understanding of data engineering and database systems. Recognised in the local country, geo and International Theatre as the go-to expert What You’ll Bring An expertise in Data Science with a strong theoretical grounding in statistics, advanced analytics, and machine learning and at least 10 years real-world experience in the application of advanced analytics. A passion about knowledge sharing and demonstrate a commitment to continuous professional development. A Belief in Teradata's Analytic solutions and services and be a commitment to working with the product, engineering, and consulting teams to ensure that they continue to lead the market An ability to turn complex technical subject matter into relatable easy to digest and understand content for senior audiences. a degree level qualification (preferably Masters or PHD) in Statistics, Data Science, the physical or biological sciences or a related discipline Why We Think You’ll Love Teradata We prioritize a people-first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well-being because we care about our people and their ability to thrive both personally and professionally. We are an anti-racist company because our dedication to Diversity, Equity, and Inclusion is more than a statement. It is a deep commitment to doing the work to foster an equitable environment that celebrates people for all of who they are. Teradata invites all identities and backgrounds in the workplace. We work with deliberation and intent to ensure we are cultivating collaboration and inclusivity across our global organization. ​ We are proud to be an equal opportunity and affirmative action employer. We do not discriminate based upon race, color, ancestry, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related conditions), national origin, sexual orientation, age, citizenship, marital status, disability, medical condition, genetic information, gender identity or expression, military and veteran status, or any other legally protected status. Show more Show less