228 Dataiku Jobs - Page 6

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

Role Description Job Title: Lead Gen AI Architect Experience: 9–12 Years Location: PAN India (UST Offices) Mode of Work: Hybrid (3 days in office per week) Job Type: Full-Time Job Summary We are seeking a Lead Gen AI Architect to lead the design, development, and deployment of advanced AI and Generative AI solutions tailored to the real estate domain . This role combines deep technical expertise with strong architectural leadership and client-facing capabilities. You will collaborate closely with cross-functional teams and US-based clients, with a work schedule that includes overlap up to 12 AM IST . This is a hybrid role , requiring 3 days a week in-office at any UST location in India . Key Responsibilities Architect and implement end-to-end Generative AI solutions, preferably using OpenAI technologies. Design and build advanced NLP pipelines, including prompt engineering, Retrieval-Augmented Generation (RAG), and model fine-tuning. Develop and deploy AI Agents to support business automation and dynamic user interaction. Engage with internal teams and customers to gather requirements, present solutions, and ensure high-quality delivery. Guide and mentor development teams in writing scalable, maintainable Python code following best Machine Learning practices. Lead MLOps initiatives for efficient deployment and management of AI models. Collaborate with US-based teams, maintaining client interaction and delivery alignment during late hours (up to 12 AM IST). Mandatory Skills NLP & Generative AI Experience integrating GPT models (e.g., ChatGPT, GPT-4) Strong knowledge of Prompt Engineering Expertise in Retrieval-Augmented Generation (RAG) pipelines Model fine-tuning and performance optimization Experience building and deploying AI Agents using OpenAI or similar frameworks Programming Strong proficiency in Python Working knowledge of R (preferred) Machine Learning Hands-on experience with model development, training, validation, and optimization Experience deploying and scaling ML models in production environments Good-to-Have Skills API Development Experience with Dataiku Building and consuming RESTful APIs for AI model integration MLOps & Deployment Familiarity with MLflow, Docker, Kubernetes Data Engineering Proficiency in SQL, PySpark for data preparation and pipeline creation Data Visualization Experience with tools like Tableau or Power BI for stakeholder reporting Qualifications Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field 9–12 years of hands-on experience in AI/ML/Gen AI, with leadership roles in solution delivery Excellent verbal and written communication skills; confident in client-facing scenarios Experience or exposure to the real estate domain is an added advantage Why Join Us Lead innovation at the intersection of AI and real estate Work in a collaborative, impact-driven team environment Contribute to the development of scalable, real-world AI applications Enjoy a flexible and supportive hybrid work culture Skills Machine Learning,Natural Language Processing,GenAI,SQL Show more Show less

ZS is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it , our most valuable asset is our people. Here you’ll work side-by-side with a powerful collective of thinkers and experts shaping life-changing solutions for patients, caregivers and consumers, worldwide. ZSers drive impact by bringing a client first mentality to each and every engagement. We partner collaboratively with our clients to develop custom solutions and technology products that create value and deliver company results across critical areas of their business. Bring your curiosity for learning; bold ideas; courage an d passion to drive life-changing impact to ZS. Our most valuable asset is our people . At ZS we honor the visible and invisible elements of our identities, personal experiences and belief systems—the ones that comprise us as individuals, shape who we are and make us unique. We believe your personal interests, identities, and desire to learn are part of your success here. Learn more about our diversity, equity, and inclusion efforts and the networks ZS supports to assist our ZSers in cultivating community spaces, obtaining the resources they need to thrive, and sharing the messages they are passionate about. What You’ll Do Design & Implement an enterprise data management strategy aligned with business process, focusing on data models designs, database development standards and data management frameworks Develop and maintain data management and governance frameworks to ensure data quality, consistency and compliance for different Discover domains such as Multi omics, In Vivo, Ex Vivo, In Vitro datasets Design and develop scalable cloud based (AWS or Azure) solutions following enterprise standards Design robust data model for semi-structured/structured datasets by following various modelling techniques Design & implement of complex ETL data-pipelines to handle various semi-structured/structured datasets coming from Labs and scientific platforms Work with LAB ecosystems (ELNs, LIMS, CDS etc) to build Integration & data solutions around them Collaborate with various stakeholders, including data scientists, researchers, and IT, to optimize data utilization and align data strategies with organizational goals Stay abreast of the latest trends in Data management technologies and introduce innovative approaches to data analysis and pipeline development. Lead projects from conception to completion, ensuring alignment with enterprise goals and standards. Communicate complex technical details effectively to both technical and non-technical stakeholders. What You’ll Bring Minimum of 7+ years of hands-on experience in developing data management solutions solving problems in Discovery/ Research domain Advanced knowledge of data management tools and frameworks, such as SQL/NoSQL, ETL/ELT tools, and data visualization tools across various private clouds Strong experience in following Cloud based DBMS/Data warehouse offerings – AWS Redshift, AWS RDS/Aurora, Snowflake, Databricks ETL tools – Cloud based tools Well versed with different cloud computing offerings in AWS and Azure Well aware of Industry followed data security and governance norms Building API Integration layers b/w multiple systems Hands-on experience with data platforms technologies likeDatabricks, AWS, Snowflake, HPC ( certifications will be a plus) Strong programming skills in languages such as Python, R Strong organizational and leadership skills. Bachelor’s or Master’s degree in Computational Biology, Computer Science, or a related field. Ph.D. is a plus. Preferred/Good To Have MLOps expertise leveraging ML Platforms like Dataiku, Databricks, Sagemaker Experience with Other technologies like Data Sharing (eg. Starburst), Data Virtualization (Denodo), API Management (mulesoft etc) Cloud Solution Architect certification (like AWS SA Professional or others) Perks & Benefits: ZS offers a comprehensive total rewards package including health and well-being, financial planning, annual leave, personal growth and professional development. Our robust skills development programs, multiple career progression options and internal mobility paths and collaborative culture empowers you to thrive as an individual and global team member. We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on-site presence at clients/ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections. Travel: Travel is a requirement at ZS for client facing ZSers; business needs of your project and client are the priority. While some projects may be local, all client-facing ZSers should be prepared to travel as needed. Travel provides opportunities to strengthen client relationships, gain diverse experiences, and enhance professional growth by working in different environments and cultures. Considering applying At ZS, we're building a diverse and inclusive company where people bring their passions to inspire life-changing impact and deliver better outcomes for all. We are most interested in finding the best candidate for the job and recognize the value that candidates with all backgrounds, including non-traditional ones, bring. If you are interested in joining us, we encourage you to apply even if you don't meet 100% of the requirements listed above. ZS is an equal opportunity employer and is committed to providing equal employment and advancement opportunities without regard to any class protected by applicable law. To Complete Your Application: Candidates must possess or be able to obtain work authorization for their intended country of employment.An on-line application, including a full set of transcripts (official or unofficial), is required to be considered. NO AGENCY CALLS, PLEASE. Find Out More At www.zs.com

Where: Hyderabad/ Bengaluru, India (Hybrid Mode 3 Days/Week in Office) Job Description Collaborate with stakeholders to develop a data strategy that meets enterprise needs and industry requirements. Create an inventory of the data necessary to build and implement a data architecture. Envision data pipelines and how data will flow through the data landscape. Evaluate current data management technologies and what additional tools are needed. Determine upgrades and improvements to current data architectures. Design, document, build and implement database architectures and applications. Should have hands-on experience in building high scale OLAP systems. Build data models for database structures, analytics, and use cases. Develop and enforce database development standards with solid DB/ Query optimizations capabilities. Integrate new systems and functions like security, performance, scalability, governance, reliability, and data recovery. Research new opportunities and create methods to acquire data. Develop measures that ensure data accuracy, integrity, and accessibility. Continually monitor, refine, and report data management system performance. Required Qualifications And Skillset Extensive knowledge of Azure, GCP clouds, and DataOps Data Eco-System (super strong in one of the two clouds and satisfactory in the other one) Hands-on expertise in systems like Snowflake, Synapse, SQL DW, BigQuery, and Cosmos DB. (Expertise in any 3 is a must) Azure Data Factory, Dataiku, Fivetran, Google Cloud Dataflow (Any 2) Hands-on experience in working with services/technologies like - Apache Airflow, Cloud Composer, Oozie, Azure Data Factory, and Cloud Data Fusion (Expertise in any 2 is required) Well-versed with Data services, integration, ingestion, ELT/ETL, Data Governance, Security, and Meta-driven Development. Expertise in RDBMS (relational database management system) – writing complex SQL logic, DB/Query optimization, Data Modelling, and managing high data volume for mission-critical applications. Strong grip on programming using Python and PySpark. Clear understanding of data best practices prevailing in the industry. Preference to candidates having Azure or GCP architect certification. (Either of the two would suffice) Strong networking and data security experience. Awareness Of The Following Application development understanding (Full Stack) Experience on open-source tools like Kafka, Spark, Splunk, Superset, etc. Good understanding of Analytics Platform Landscape that includes AI/ML Experience in any Data Visualization tool like PowerBI / Tableau / Qlik /QuickSight etc. About Us Gramener is a design-led data science company. We build custom Data & AI solutions that help solve complex business problems with actionable insights and compelling data stories. We partner with enterprise data and digital transformation teams to improve the data-driven decision-making culture across the organization. Our open standard low-code platform, Gramex, rapidly builds engaging Data & AI solutions across multiple business verticals and use cases. Our solutions and technology have been recognized by analysts such as Gartner and Forrester and have won several awards. We Offer You a chance to try new things & take risks. meaningful problems you'll be proud to solve. people you will be comfortable working with. transparent and innovative work environment. To know more about us visit Gramener Website and Gramener Blog. If anyone looking for the same, kindly share below mentioned details. Total Experience Relevant Experience: Ctct Notice Period: Ectc Current Location: Skills:- OLAP, Microsoft Azure, Architecting Show more Show less

Summary Provide analytics support to Novartis internal customers (CPOs & Regional marketing and sales teams) on various low-medium complexity analytical reports. -Support and facilitate data enabled decision making for Novartis internal customers by providing and communicating qualitative and quantitative analytics. -Support GBS -GCO business in building practice by involving in various initiatives like knowledge sharing, on-boarding and training support, support team lead in all business related tasks / activities, building process documentation and knowledge repositories -To be an integral part of a comprehensive design team responsible for designing promotional marketing materials. About The Role Role/ job Title: Analyst Location: Hyderabad # Hybrid working About The Role Support GBS -GCO business in building practice by involving in various initiatives like knowledge sharing, on-boarding and training support, support team lead in all business related tasks / activities, building process documentation and knowledge repositories -To be an integral part of a comprehensive design team responsible for designing promotional marketing materials. Key Responsibilities Create and deliver Field Excellence insights as per agreed SLAs (timeliness, accuracy, quality, etc) and drive excellent customer service Design, develop and/or maintain ETL based solutions that optimize field excellence activities based on Country commercial excellence needs through a variety of evolving infrastructure landscape Deliver services through an Agile project management approach with appropriate documentation and communication throughout the delivery of services Maintain standard operating procedures (SOPs), quality checklists that will enable excellent quality outputs for all outputs within the function Develop and maintain knowledge repositories that collect qualitative and quantitative data of field excellence related trends across Novartis operating markets Essential Requirements 2 years experience in SQL and Excel Learning Agility & Ability to manage multiple stakeholders Experience in Pharma datasets, Experience in Python or any other scripting language Desirable Requirements University/Advanced degree is required, Master’s degree or equivalent experience in fields such as business administration, finance, computer science or technical field is preferred Experience of at least 3 years in using ETL tools (Alteryx, DataIKU, Matillion etc.) and hands on to cloud-based platforms like SnowFlake is mandatory Why Novartis Our purpose is to reimagine medicine to improve and extend people’s lives and our vision is to become the most valued and trusted medicines company in the world. How can we achieve this? With our people. It is our associates that drive us each day to reach our ambitions. Be a part of this mission and join us! Learn more here: https://www.novartis.com/about/strategy/people-and-culture You’ll receive: You can find everything you need to know about our benefits and rewards in the Novartis Life Handbook. https://www.novartis.com/careers/benefits-rewards Join our Novartis Network: If this role is not suitable to your experience or career goals but you wish to stay connected to hear more about Novartis and our career opportunities, Join the Novartis Network here: https://talentnetwork.novartis.com/network. Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients’ lives. Ready to create a brighter future together? https://www.novartis.com/about/strategy/people-and-culture Join our Novartis Network: Not the right Novartis role for you? Sign up to our talent community to stay connected and learn about suitable career opportunities as soon as they come up: https://talentnetwork.novartis.com/network Benefits and Rewards: Read our handbook to learn about all the ways we’ll help you thrive personally and professionally: https://www.novartis.com/careers/benefits-rewards Show more Show less

Summary The incumbent act as a data analyst supporting multiple use cases, digital lighthouse projects as part of DLC teams collaborating closely with business, data strategy teams and IT The incumbent would be expected to demonstrate good business domain understanding, ability to articulate user requirements, understand system-specific data flows, perform statistical analysis to identify challenges / solutions, and thereby help prepare data specification & user requirement documents to propose appropriate solutions & their feasibility to business. The incumbent would be expected to analyze and assess all components of a problem and have excellent skill to communicate. 2-4 years of experience in a Global company as a data analyst, business analyst or business requirement analyst Domain expertise in at least one of the following areas – a) Pharma R&D, b) Manufacturing, Procurement and Supply Chain and c) Marketing and Sales. Experience in working in Pharma / Life Science industry strongly preferred About The Role Data Analyst Location – Hyderabad Hybrid About The Role: Data Analyst needs to support multiple data centric activities such as data engineering, data quality, data analytics other data management activities by working closely with business, data strategy teams and IT. Work under the guidance of Data Manager in agile team to build the data solutions using approved tech stack and should be able to support the ongoing engagements with Novartis business teams. Key Responsibilities: Creating and maintaining the sanity of the Master Data (e.g., Customer, Products etc.) Supporting consolidation/ harmonization of data (master and transactional data). Support setting up business rules for creating and maintaining master data Querying, analyzing, and profiling various datasets Supporting data migration activities by validating business data and maintaining data pipelines Ensure the data quality and process governance. Help build & implement data quality checks and KPI reporting. Closely work along with Business partner & liaising with IT for resolving issues Ensuring processes documentation in form of SOP’s, QC list & Process flows diagrams. Essential Requirements: Education: Bachelors/ Masters in computer sciences/ IT or other quantitative sciences 2-4 years’ experience in a Global company as data steward, data analyst, data engineer or business analyst Bring deep business understanding of pharmaceutical industry and data standards with domain experience in at least one of the following areas – a) Pharma R&D, b) Manufacturing, Procurement and Supply Chain and c) Marketing and Sales Hands-on experience in Master Data Management (MDM), Data Stewardship and Data Quality Hands-on experience of ETL and programming/scripting skills (SQL, Alteryx, Databricks & Dataiku) for data preparation and analysis. Understanding of data modeling (conceptual, logical, and physical) Desirable Requirements: Proficient with MS office (especially MS Excel). Adept with Agile ways of working. Excellent communication and presentation skills with business stakeholder engagement experience Experience in gathering and documenting business requirements Why Novartis: Our purpose is to reimagine medicine to improve and extend people’s lives and our vision is to become the most valued and trusted medicines company in the world. How can we achieve this? With our people. It is our associates that drive us each day to reach our ambitions. Be a part of this mission and join us! Learn more here: https://www.novartis.com/about/strategy/people-and-culture You’ll receive: You can find everything you need to know about our benefits and rewards in the Novartis Life Handbook. https://www.novartis.com/careers/benefits-rewards Commitment To Diversity And Inclusion: Novartis is committed to building an outstanding, inclusive work environment and diverse teams' representative of the patients and communities we serve. Join our Novartis Network: If this role is not suitable to your experience or career goals but you wish to stay connected to hear more about Novartis and our career opportunities, join the Novartis Network here: https://talentnetwork.novartis.com/network. Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients’ lives. Ready to create a brighter future together? https://www.novartis.com/about/strategy/people-and-culture Join our Novartis Network: Not the right Novartis role for you? Sign up to our talent community to stay connected and learn about suitable career opportunities as soon as they come up: https://talentnetwork.novartis.com/network Benefits and Rewards: Read our handbook to learn about all the ways we’ll help you thrive personally and professionally: https://www.novartis.com/careers/benefits-rewards Show more Show less

Job Description Primary Responsibilities Define and drive the long-term product vision, strategy, design and roadmap, aligning with business goals and user needs Define and monitor Product Success metrics and criteria at incremental product development phases, and product adoption Analyze customer feedback, query logs, and market trends to identify opportunities for product innovation and enhancement, delivering high impact solutions Translate business requirements into technical solutions, ensuring scalability, reliability, and maintainability of products Lead cross-functional collaboration with engineering, marketing, and sales teams to align on product goals and roadmap planning for automation/improvements as per business needs Effectively communicate the strategy, progress, and updates to senior leadership, partners, key stakeholder, ensuring alignment and transparency Lead creation of comprehensive playbook and training material to standardize and share SOPs with product development and other analytics teams Lead creation of benchmark techniques being deployed across multiple product development strategies Provide technical guidance and mentorship to junior members Qualifications Education & Work Experience Requiremen ts Bachelor’s degree (in Engineering or related field, such as Computer Science, Data Science, Statistics, Business, etc.) with at least 8+ years relevant experience Master’s degree (relevant field like Computer Science, Economics, Statistics, Mathematics, Operational Research) with 6+ years work experience 4+ Years of Product management or Software development experience Skillset Candidates must have - Strong proficiency in Python, SQL, and cloud-based environments (AWS, GCP, or Azure) is a must. Experience with APIs, microservices, and DevOps practices is a plus Experience in Software Development and Engineering, and Analytics Delivery Expertise in developing scalable, secure, and modular product architectures Proficiency in designing & implementing data structure, pipeline & architecture Hands-on experience with product roadmaps, Agile methodologies and backlog management, ensuring iterative and incremental product improvements Strong Leadership, problem solving, critical thinking, and quantitative skills Story Boarding - Ability to effectively communicate proposals to key stakeholders Must have good understanding of end-to-end Pharma commercial landscape Understanding of analytics tools like Tableau, PowerBI, Dataiku etc. Candidates are desired but not mandatory to have - Experience with data science principles, machine learning (supervised and unsupervised) and GenAI algorithms, test-control analysis, A/B testing, propensity score matching etc. Experience working with healthcare, financial, or enterprise SaaS products Experience with Marketing Mix Modeling and optimization with underlying concepts such as ad-stock, decay, interaction and halo effects etc. 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 Not Applicable 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 R335758 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 04/30/2025 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 R334900 Show more Show less

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

Job Details Job Description: Join Altera, a leader in programmable logic technology, as we strive to become the #1 FPGA company. We are looking for a skilled Jr. Data Scientist to develop and deploy production-grade ML pipelines and infrastructure across the enterprise. This is a highly technical, hands-on role focused on building scalable, secure, and maintainable machine learning solutions within the Azure ecosystem. As a member of our Data & Analytics team, you will work closely with other data scientists, ML specialists, and engineering teams to operationalize ML models using modern tooling such as Azure Machine Learning, Dataiku, and Kubeflow, etc. You’ll drive MLOps practices, automate workflows, and help build a foundation for responsible and reliable AI delivery. Responsibilities Design, build, and maintain automated ML pipelines from data ingestion through model training, validation, deployment, and monitoring using Azure Machine Learning, Kubeflow, and related tools. Deploy and manage machine learning models in production environments using cloud-native technologies like AKS (Azure Kubernetes Service), Azure Functions, and containerized environments. Partner with data scientists to transform experimental models into robust, production-ready systems, ensuring scalability and performance. Drive best practices for model versioning, CI/CD, testing, monitoring, and drift detection using Azure DevOps, Git, and third-party tools. Work with large-scale datasets from enterprise sources using Azure Synapse Analytics, Azure Data Factory, Azure Data Lake, etc. Build integrations with platforms like Dataiku etc. to support collaborative workflows and low-code user interactions while ensuring underlying infrastructure is robust and auditable. Set up monitoring pipelines to track model performance, ensure availability, manage retraining schedules, and respond to production issues. Write clean, modular code with clear documentation, tests, and reusable components for ML workflows. Qualifications Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field. 3+ years of hands-on experience developing and deploying machine learning models in production environments. Strong programming skills in Python, with experience in ML libraries such as scikit-learn, TensorFlow, PyTorch, or XGBoost. Proven experience with the Microsoft Azure ecosystem, especially: Azure Machine Learning (AutoML, ML Designer, SDK) Azure Synapse Analytics and Data Factory Azure Data Lake, Azure Databricks Azure OpenAI and Cognitive Services Experience with MLOps frameworks such as Kubeflow, MLflow, or Azure ML pipelines. Familiarity with CI/CD tools like Azure DevOps, GitHub Actions, or Jenkins for model lifecycle automation. Experience working with APIs, batch and real-time data pipelines, and cloud security practices. Why Join Us? Build and scale real-world ML systems on a modern Azure-based platform. Help shape the AI and ML engineering foundation of a forward-looking organization. Work cross-functionally with experts in data science, software engineering, and operations. Enjoy a collaborative, high-impact environment where innovation is valued and supported. Job Type Regular Shift Shift 1 (India) Primary Location: Ecospace 1 Additional Locations: Posting Statement All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance. Show more Show less

Job Title: Solution Engineer Location: Chennai-Hybrid Type: C2H Why MResult? Founded in 2004, MResult is a global digital solutions partner trusted by leading Fortune 500 companies in industries such as pharma & healthcare, retail, and BFSI. MResult’s expertise in data and analytics, data engineering, machine learning, AI, and automation help companies streamline operations and unlock business value. As part of our team, you will collaborate with top minds in the industry to deliver cutting-edge solutions that solve real-world challenges. Website: https://mresult.com/ LinkedIn: https://www.linkedin.com/company/mresult/ What We Offer: At MResult, you can leave your mark on projects at the world’s most recognized brands, access opportunities to grow and upskill, and do your best work with the flexibility of hybrid work models. Great work is rewarded, and leaders are nurtured from within. Our values — Agility, Collaboration, Client Focus, Innovation, and Integrity — are woven into our culture, guiding every decision. What This Role Requires In the role of Solution Engineer , you will be a key contributor to MResult’s mission of empowering our clients with data-driven insights and innovative digital solutions. Each day brings exciting challenges and growth opportunities. Here is what you will do: Roles and responsibilities: 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. 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. Must - have Qualifications: Bachelor’s degree in computer science, Software Engineering, or engineering related area. 5+ years of relevant experience emphasizing data modelling, 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 analysing 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. Manage, Master, and Maximize with MResult MResult is an equal-opportunity employer committed to building an inclusive environment free of discrimination and harassment. Take the next step in your career with MResult — where your ideas help shape the future. Show more Show less

Job Description Analytics Engineer We are seeking a talented, motivated and self-driven professional to join the HH Digital, Data & Analytics (HHDDA) organization and play an active role in Human Health transformation journey to become the premier “Data First” commercial biopharma organization. As a Analytics Engineer, you will be part of the HHDDA Commercial Data Solutions team, providing technical/data expertise development of analytical data products to enable data science & analytics use cases. In this role, you will create and maintain data assets/domains used in the commercial/marketing analytics space – to develop best-in-class data pipelines and products, working closely with data product owners to translate data product requirements and user stories into development activities throughout all phases of design, planning, execution, testing, deployment and delivery. Your specific responsibilities will include Hands-on development of last-mile data products using the most up-to-date technologies and software / data / DevOps engineering practices Enable data science & analytics teams to drive data modeling and feature engineering activities aligned with business questions and utilizing datasets in an optimal way Develop deep domain expertise and business acumen to ensure that all specificalities and pitfalls of data sources are accounted for Build data products based on automated data models, aligned with use case requirements, and advise data scientists, analysts and visualization developers on how to use these data models Develop analytical data products for reusability, governance and compliance by design Align with organization strategy and implement semantic layer for analytics data products Support data stewards and other engineers in maintaining data catalogs, data quality measures and governance frameworks Education B.Tech / B.S., M.Tech / M.S. or PhD in Engineering, Computer Science, Engineering, Pharmaceuticals, Healthcare, Data Science, Business, or related field Required Experience 5+ years of relevant work experience in the pharmaceutical/life sciences industry, with demonstrated hands-on experience in analyzing, modeling and extracting insights from commercial/marketing analytics datasets (specifically, real-world datasets) High proficiency in SQL, Python and AWS Good understanding and comprehension of the requirements provided by Data Product Owner and Lead Analytics Engineer Experience creating / adopting data models to meet requirements from Marketing, Data Science, Visualization stakeholders Experience with including feature engineering Experience with cloud-based (AWS / GCP / Azure) data management platforms and typical storage/compute services (Databricks, Snowflake, Redshift, etc.) Experience with modern data stack tools such as Matillion, Starburst, ThoughtSpot and low-code tools (e.g. Dataiku) Excellent interpersonal and communication skills, with the ability to quickly establish productive working relationships with a variety of stakeholders Experience in analytics use cases of pharmaceutical products and vaccines Experience in market analytics and related use cases Preferred Experience Experience in analytics use cases focused on informing marketing strategies and commercial execution of pharmaceutical products and vaccines Experience with Agile ways of working, leading or working as part of scrum teams Certifications in AWS and/or modern data technologies Knowledge of the commercial/marketing analytics data landscape and key data sources/vendors Experience in building data models for data science and visualization/reporting products, in collaboration with data scientists, report developers and business stakeholders Experience with data visualization technologies (e.g, PowerBI) 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 Management, Data Modeling, Data Visualization, Measurement Analysis, Stakeholder Relationship Management, Waterfall Model Preferred Skills Job Posting End Date 07/31/2025 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 R335374 Show more Show less

Business Unit: Financial and Valuation Advisory Industry: Transaction Advisory Services Vice President, Digital Value Creation Group Overview Houlihan Lokey, Inc. (NYSE:HLI) is a global investment bank with expertise in mergers and acquisitions, capital solutions, financial restructuring, and financial and valuation advisory. Houlihan Lokey serves corporations, institutions, and governments worldwide with offices in the Americas, Europe, the Middle East, and the Asia-Pacific region. Independent advice and intellectual rigor are hallmarks of the firm’s commitment to client success across its advisory services. The firm is the No. 1 investment bank for all global M&A transactions for the past two years, the No. 1 M&A advisor for the past 10 years in the U.S., the No. 1 global restructuring advisor for the past 11 years, and the No. 1 global M&A fairness opinion advisor over the past 25 years, all based on number of transactions and according to data provided by LSEG. Financial and Valuation Advisory Over the past 40 years, Houlihan Lokey has established one of the largest worldwide financial and valuation advisory practices. Our transaction expertise, leadership in the field of valuation, and objective approach to independent due diligence advice inspire confidence in the financial executives, boards of directors, special committees, retained counsel, investors, and business owners we serve. In 2020, Refinitiv (formerly known as Thomson Reuters) ranked us the No. 1 U.S. M&A fairness opinion advisor over the past 20 years. Our stability, integrity, technical leadership, and global capabilities make us a trusted advisor for clients worldwide across a wide range of services, including the Transaction Opinions, Transaction Advisory Services, Corporate Valuation Advisory Services, Portfolio Valuation and Fund Advisory Services, Real Estate Valuation and Advisory Services, and Dispute Resolution Consulting practices. Transaction Advisory Services Houlihan Lokey’s Transaction Advisory Services (TAS) practice assists private equity and corporate clients with financial, IT and tax due diligence, business analytics, and technical accounting matters associated with corporate mergers, divestitures, and acquisitions (M&A). Drawing on Houlihan Lokey’s market leadership in middle-market M&A transactions, our due diligence experts provide candid, unbiased, and rigorous support on matters most impacting deal value, and assist investors in identifying and evaluating key value drivers and risk factors. TAS India TAS India covers Financial due diligence, Accounting and financial reporting and Digital value creation services. We have a highly integrated ‘one-team’ working model where TAS India team members are fully embedded into an engagement lifecycle - from client pitch to client discussions through closure. They have similar exposure to project complexities and client situations as their counterparts in the global TAS teams, and work in similar ownership and accountability construct. With a strong industry orientation and innovation-focused environment, we offer a unique proposition comprising best-in-class functional, industry and technology competencies along with an exposure to global M&A markets. Job Description TAS is seeking talented professionals to join our fast-growing Digital Value Creation group (DVC) at the Vice President level. DVC provides our clients value-creating insights from vast market, operational, and financial data. DVC professionals work closely with HL due diligence, valuation and investment banking teams alongside clients’ deal and operating teams. As a professional in the group, you will be teamed with highly talented and dedicated M&A professionals in various industry groups including Industrials, Consumer, Technology, Business Services and Financial Services. This opportunity provides you broad exposure to different transactional issues affecting businesses in an M&A environment. This is a unique opportunity for someone with proficiency in data analytics along with experience in applying data analytics techniques to financial and operational analyses that is fundamental to an M&A process. DVC provides you ample exposure to the M&A and corporate finance industry and capital markets. You will further develop and extend your data analytics knowledge, and hone your interpersonal skills as you deliver valuable insights that derive transaction and strategic decision making for internal and external stakeholders. Responsibilities Participate in buy-side and sell-side M&A engagements and data-focused operational reporting engagements Lead engagements or substantial workstreams within an engagement, taking ownership of the execution, quality and timeliness of deliverable to clients Day-to-day project management, ensuring progress in line with project plan and effective resource management; resolving bottlenecks and complex questions; identifying risks and delays; reporting and escalating issues as required; tracking budgets; etc. Communicate directly and effectively with senior business executives and internal stakeholders, providing project updates, discussing questions and bottlenecks, and sharing points of view and recommendations as defined within project scope Gather, evaluate, sanitize, and organize applicable meta data Prepare data workflows to clean and combine data from multiple sources Prepare data visualizations and dashboards to deliver key insights Generate insights on the drivers of business growth, profitability, and liquidity, and story-board key findings into a structured and comprehensible report Identify key business risks and opportunities impacting business valuation Be willing to learn and train peers on data analysis and visualization tools Continuously develop industry knowledge and qualifications Be able to work on and lead multiple assignments simultaneously Support and actively participate in business development efforts Review the work of junior team members, ensuring desired quality and insights, and providing timely feedback for their continuous learning Manage a team of 2-3 Analysts and/or Associates, being responsible for their learning and professional development Basic (must-have) Qualifications Bachelor’s degree in technology / computer science / accounting / finance or quantitative finance, or similar (with concentration in data analytics or another quantitative field) Experience in financial analytics based on sound understanding of financial statements like Profit & Loss and Balance sheet and ability to analyze financial and operating performance of a company Hands-on experience in working on one of the data wrangling / ETL tool i.e. Alteryx, Dataiku etc. Sound knowledge of and experience in data visualization tools, either Tableau or Power BI Strong command of advanced Microsoft Excel functions, PowerPivot, Power Query, etc. Experience working in a global organization across different time zones, managing both internal and external stakeholders Team management experience, covering role expectations, learning and development, and performance management Exceptional work ethic, high motivation, and a demonstrated ability and desire to work cooperatively with team members and client professionals Strong analytical abilities Exceptional verbal and written communication skills A demonstrated ability to work cooperatively and be a team player Preferred (good-to-have) Qualifications Post graduate degree or diploma, or certification in any of the above fields of study or business administration (for instance MBA, CFA, CQF etc.) Experience in M&A and financial consulting areas such as Financial due diligence, Valuation, Financial Planning & Analysis will be a strong advantage Strong command of at least one programming language Python, R, VBA Prior work experience in relational database management systems (including experience in SQL Server, Snowflake, or similar) Work Experience 7 (seven) to 10 (ten) years of professional experience We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, gender identity, sexual orientation, protected veteran status, or any other characteristic protected by law. We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, gender identity, sexual orientation, protected veteran status, or any other characteristic protected by law. Show more Show less

Job Description Lead Analytics Engineer We are seeking a talented, motivated and self-driven professional to join the HH Digital, Data & Analytics (HHDDA) organization and play an active role in Human Health transformation journey to become the premier “Data First” commercial biopharma organization. As a Lead Analytics Engineer, you will be part of the HHDDA Commercial Data Solutions team, providing technical/data expertise development of analytical data products to enable data science & analytics use cases. In this role, you will create and maintain data assets/domains used in the commercial/marketing analytics space – to develop best-in-class data pipelines and products, working closely with data product owners to translate data product requirements and user stories into development activities throughout all phases of design, planning, execution, testing, deployment and delivery. Your specific responsibilities will include Design and implementation of last-mile data products using the most up-to-date technologies and software / data / DevOps engineering practices Enable data science & analytics teams to drive data modeling and feature engineering activities aligned with business questions and utilizing datasets in an optimal way Develop deep domain expertise and business acumen to ensure that all specificalities and pitfalls of data sources are accounted for Build data products based on automated data models, aligned with use case requirements, and advise data scientists, analysts and visualization developers on how to use these data models Develop analytical data products for reusability, governance and compliance by design Align with organization strategy and implement semantic layer for analytics data products Support data stewards and other engineers in maintaining data catalogs, data quality measures and governance frameworks Education B.Tech / B.S., M.Tech / M.S. or PhD in Engineering, Computer Science, Engineering, Pharmaceuticals, Healthcare, Data Science, Business, or related field Required Experience 8+ years of relevant work experience in the pharmaceutical/life sciences industry, with demonstrated hands-on experience in analyzing, modeling and extracting insights from commercial/marketing analytics datasets (specifically, real-world datasets) High proficiency in SQL, Python and AWS Experience creating / adopting data models to meet requirements from Marketing, Data Science, Visualization stakeholders Experience with including feature engineering Experience with cloud-based (AWS / GCP / Azure) data management platforms and typical storage/compute services (Databricks, Snowflake, Redshift, etc.) Experience with modern data stack tools such as Matillion, Starburst, ThoughtSpot and low-code tools (e.g. Dataiku) Excellent interpersonal and communication skills, with the ability to quickly establish productive working relationships with a variety of stakeholders Experience in analytics use cases of pharmaceutical products and vaccines Experience in market analytics and related use cases Preferred Experience Experience in analytics use cases focused on informing marketing strategies and commercial execution of pharmaceutical products and vaccines Experience with Agile ways of working, leading or working as part of scrum teams Certifications in AWS and/or modern data technologies Knowledge of the commercial/marketing analytics data landscape and key data sources/vendors Experience in building data models for data science and visualization/reporting products, in collaboration with data scientists, report developers and business stakeholders Experience with data visualization technologies (e.g, PowerBI) 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 Management, Data Modeling, Data Visualization, Measurement Analysis, Stakeholder Relationship Management, Waterfall Model Preferred Skills Job Posting End Date 03/20/2025 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 R335372 Show more Show less

Business Unit: Financial and Valuation Advisory Industry: Transaction Advisory Services Associate, Digital Value Creation Group Overview Houlihan Lokey, Inc. (NYSE:HLI) is a global investment bank with expertise in mergers and acquisitions, capital solutions, financial restructuring, and financial and valuation advisory. Houlihan Lokey serves corporations, institutions, and governments worldwide with offices in the Americas, Europe, the Middle East, and the Asia-Pacific region. Independent advice and intellectual rigor are hallmarks of the firm’s commitment to client success across its advisory services. The firm is the No. 1 investment bank for all global M&A transactions for the past two years, the No. 1 M&A advisor for the past 10 years in the U.S., the No. 1 global restructuring advisor for the past 11 years, and the No. 1 global M&A fairness opinion advisor over the past 25 years, all based on number of transactions and according to data provided by LSEG. Financial and Valuation Advisory Over the past 40 years, Houlihan Lokey has established one of the largest worldwide financial and valuation advisory practices. Our transaction expertise, leadership in the field of valuation, and objective approach to independent due diligence advice inspire confidence in the financial executives, boards of directors, special committees, retained counsel, investors, and business owners we serve. In 2020, Refinitiv (formerly known as Thomson Reuters) ranked us the No. 1 U.S. M&A fairness opinion advisor over the past 20 years. Our stability, integrity, technical leadership, and global capabilities make us a trusted advisor for clients worldwide across a wide range of services, including the Transaction Opinions, Transaction Advisory Services, Corporate Valuation Advisory Services, Portfolio Valuation and Fund Advisory Services, Real Estate Valuation and Advisory Services, and Dispute Resolution Consulting practices. Transaction Advisory Services Houlihan Lokey’s Transaction Advisory Services (TAS) practice assists private equity and corporate clients with financial, IT and tax due diligence, business analytics, and technical accounting matters associated with corporate mergers, divestitures, and acquisitions (M&A). Drawing on Houlihan Lokey’s market leadership in middle-market M&A transactions, our due diligence experts provide candid, unbiased, and rigorous support on matters most impacting deal value, and assist investors in identifying and evaluating key value drivers and risk factors. TAS India TAS India covers Financial due diligence, Accounting and financial reporting and Digital value creation services. We have a highly integrated ‘one-team’ working model where TAS India team members are fully embedded into an engagement lifecycle - from client pitch to client discussions through closure. They have similar exposure to project complexities and client situations as their counterparts in the global TAS teams, and work in similar ownership and accountability construct. With a strong industry orientation and innovation-focused environment, we offer a unique proposition comprising best-in-class functional, industry and technology competencies along with an exposure to global M&A markets. Job Description TAS is seeking talented professionals to join our fast-growing Digital Value Creation group (DVC) at the Associate level. DVC provides our clients value-creating insights from vast market, operational, and financial data. DVC professionals work closely with HL due diligence, valuation and investment banking teams alongside clients’ deal and operating teams. As a professional in the group, you will be teamed with highly talented and dedicated M&A professionals in various industry groups including Industrials, Consumer, Technology, Business Services and Financial Services. This opportunity provides you broad exposure to different transactional issues affecting businesses in an M&A environment. This is a unique opportunity for someone with proficiency in data analytics along with experience in applying data analytics techniques to financial and operational analyses that is fundamental to an M&A process. DVC provides you ample exposure to the M&A and corporate finance industry and capital markets. You will further develop and extend your data analytics knowledge, and hone your interpersonal skills as you deliver valuable insights that derive transaction and strategic decision making for internal and external stakeholders. Responsibilities Participate in buy-side and sell-side M&A engagements and data-focused operational reporting engagements Lead engagement tasks or workstreams within an engagement, taking ownership of the execution, and quality and timeliness of deliverable to clients Communicate effectively with internal project teams as well as client teams, showing ability to put forth points of view and drive discussions towards required objectives Gather, evaluate, sanitize, and organize applicable meta data Prepare data workflows to clean and combine data from multiple sources Prepare data visualizations and dashboards to deliver key insights Generate insights on the drivers of business growth, profitability, and liquidity Identify the key business risks and opportunities impacting business valuation Be willing to learn and train peers in the advisory practice on data analysis and visualization tools Continuously develop industry knowledge and qualifications Be able to work on multiple assignments simultaneously Support and actively participate in business development efforts Review the work of team members to ensure desired quality and insights Basic (must-have) Qualifications Bachelor’s degree in technology / computer science / accounting / finance or quantitative finance, or similar (with concentration in data analytics or another quantitative field) Experience in financial analytics based on sound understanding of financial statements like Profit & Loss and Balance sheet and ability to analyze financial and operating performance of a company Hands-on experience in working on one of the data wrangling / ETL tool i.e. Alteryx, Dataiku etc. Experience in, and sound knowledge of data visualization tools, either Tableau or Power BI Strong command of Microsoft Excel formulas, PowerPivot, Power Query, etc. Experience working in a global organization across different time zones, managing both internal and external stakeholders Exceptional work ethic, high motivation, and a demonstrated ability and desire to work cooperatively with team members and client professionals Strong analytical abilities Conduct technical training and best practice sessions for team members Exceptional verbal and written communication skills Preferred (good-to-have) Qualifications Post graduate degree or diploma, or certification in any of the above fields of study or business administration (for instance MBA, CFA, CQF etc.) Experience in M&A and financial consulting areas such as Financial due diligence, Valuation, Financial Planning & Analysis will be a strong advantage Strong command of at least one programming language Python, R, VBA Prior work experience in relational database management systems (including experience in SQL Server, Snowflake, or similar) Work experience 3 (three) to 7 (seven) years of professional experience We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, gender identity, sexual orientation, protected veteran status, or any other characteristic protected by law. We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, gender identity, sexual orientation, protected veteran status, or any other characteristic protected by law. Show more Show less

Job Description Job Title: Analyst Data Science About us : With over 200 brands sold in nearly 180 countries, we’re the world’s leading premium drinks company. Bring your passion and use your curiosity as you explore, collaborate, and innovate to build brands consumers love. Together with passionate people from all over the world, you’ll test new ideas, learn and grow, and unlock a brighter, more exciting future. Join us to create a career worth celebrating. About the Function: Our Digital and Technology (D&T) team are innovators, delivering ground-breaking solutions that will help shape the future of our iconic brands. Technology touches every part of our business, from the sourcing of sustainable ingredients to marketing and development of our online platforms. We utilise data insights to build competitive advantage, supporting our people to deliver value faster. Our D&T team includes some of the most talented digital professionals in the industry. Every day, we come together to push boundaries and innovate, shaping the digital solutions of tomorrow. Whatever your passion, we’ll help you become the best you can be, creating career-defining work and delivering breakthrough thinking. About the role : Experience / skills required: 2 to 3 years of hands-on experience & knowledge in Data Science or Machine Learning Algorithms Hands on experience in solving various advanced analytics use cases such as segmentation, forecasting, optimization, key driver/causal analysis, recommendation systems, predictive modelling, etc. Both theoretical & hands on knowledge of application of different advanced analytics methodologies like: Clustering, Time Series Forecasting, Multivariate Regression and forecasting, Logistic Regression, Linear & Non-Linear Optimization, ML Models like Random Forest, GBM, SVM, etc. Strong language coding skills required in Python/pyspark. Knowledge & experience in SQL database & MLOps. Good to have knowledge in the areas of Product Assortment, Marketing Mix Modelling, Demand Forecasting etc. Good to have skills in Natural Language Processing, Big Data Analytics, etc. Good to have working knowledge in Azure/Azure Databricks, Alteryx, Dataiku, S3, Power shell scripting, Windows Batch scripting. Prior advanced analytics experience in CPG or Alcohol Beverage industry is a plus. Have a hands-on approach with a proven ability to work independently with minimal supervision to deliver results Flexible Working Statement: Flexibility is key to our success. From part-time and compressed hours to different locations, our people work flexibly in ways to suit them. Talk to us about what flexibility means to you so that you’re supported from day one. Diversity statement: Our purpose is to celebrate life, every day, everywhere. And creating an inclusive culture, where everyone feels valued and that they can belong, is a crucial part of this. We embrace diversity in the broadest possible sense. This means that you’ll be welcomed and celebrated for who you are just by being you. You’ll be part of and help build and champion an inclusive culture that celebrates people of different gender, ethnicity, ability, age, sexual orientation, social class, educational backgrounds, experiences, mindsets, and more. Our ambition is to create the best performing, most trusted and respected consumer products companies in the world. Join us and help transform our business as we take our brands to the next level and build new ones as part of shaping the next generation of celebrations for consumers around the world. Feel inspired? Then this may be the opportunity for you. If you require a reasonable adjustment, please ensure that you capture this information when you submit your application. Worker Type Regular Primary Location: Bangalore Karle Town SEZ Additional Locations : Job Posting Start Date 2025-01-03 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

We are seeking an experienced Data Engineer to join our innovative data team data team and help build scalable data infrastructure, software consultancy, and development services that powers business intelligence, analytics, and machine learning initiatives. The ideal candidate will design, develop, and maintain robust high-performance data pipelines and solutions while ensuring data quality, reliability, and accessibility across the organization working with cutting-edge technologies like Python, Microsoft Fabric, Snowflake, Dataiku, SQL Server, Oracle, PostgreSQL, etc. Required Qualifications 5 + years of experience in Data engineering role. Programming Languages: Proficiency in Python Cloud Platforms: Hands-on experience with Azure (Fabric, Synapse, Data Factory, Event Hubs) Databases: Strong SQL skills and experience with both relational (Microsoft SQL Server, PostgreSQL, MySQL) and NoSQL (MongoDB, Cassandra) databases Version Control: Proficiency with Git and collaborative development workflows Proven track record of building production-grade data pipelines handling large-scale data or solutions. Desired experience with containerization (Docker) and orchestration (Kubernetes) technologies . Knowledge of machine learning workflows and MLOps practices Familiarity with data visualization tools (Tableau, Looker, Power BI) Experience with stream processing and real-time analytics Experience with data governance and compliance frameworks (GDPR, CCPA) Contributions to open-source data engineering projects Relevant Cloud certifications (e.g., Microsoft Certified: Azure Data Engineer Associate, AWS Certified Data Engineer, Google Cloud Professional Data Engineer). Specific experience or certifications in Microsoft Fabric, or Dataiku, Snowflake.

Location: Bangalore, KA, IN Company: ExxonMobil About us At ExxonMobil, our vision is to lead in energy innovations that advance modern living and a net-zero future. As one of the world’s largest publicly traded energy and chemical companies, we are powered by a unique and diverse workforce fueled by the pride in what we do and what we stand for. The success of our Upstream, Product Solutions and Low Carbon Solutions businesses is the result of the talent, curiosity and drive of our people. They bring solutions every day to optimize our strategy in energy, chemicals, lubricants and lower-emissions technologies. We invite you to bring your ideas to ExxonMobil to help create sustainable solutions that improve quality of life and meet society’s evolving needs. Learn more about our What and our Why and how we can work together . ExxonMobil’s affiliates in India ExxonMobil’s affiliates have offices in India in Bengaluru, Mumbai and the National Capital Region. ExxonMobil’s affiliates in India supporting the Product Solutions business engage in the marketing, sales and distribution of performance as well as specialty products across chemicals and lubricants businesses. The India planning teams are also embedded with global business units for business planning and analytics. ExxonMobil’s LNG affiliate in India supporting the upstream business provides consultant services for other ExxonMobil upstream affiliates and conducts LNG market-development activities. The Global Business Center - Technology Center provides a range of technical and business support services for ExxonMobil’s operations around the globe. ExxonMobil strives to make a positive contribution to the communities where we operate and its affiliates support a range of education, health and community-building programs in India. Read more about our Corporate Responsibility Framework. To know more about ExxonMobil in India, visit ExxonMobil India and the Energy Factor India. What role you will play in our team We are seeking candidates to tackle challenging problems across ExxonMobil’s global supply chain operations including sales and operations planning (S&OP), logistics and Materials management. The ideal candidate will understand both the commercial and technical aspects of supply chain challenges in the Oil & Gas or Energy products (including Chemicals, Fuels) industry, advancing the development of solutions leveraging advanced modeling, ML or AI. Job location is based out of Bangalore, Karnataka What you will do Support all stages of development for advanced analytics (AI, ML based decision support) solutions including Exploratory data analysis Develop optimized queries using SQL,Alteryx, python to pull large complex datasets from ERP (e.g., SAP, ORACLE) or other SC business applications (Kinaxis, Blue Yonder) for analysis Leverage analytical tools (PowerBI, Tableau, R, python or Dataiku) to identify patterns and generate data driven insights or product ideas that can lead to accelerated business decisions supporting global Supply chain capability team Development and deployment Collaborate with Digital Product Managers and technology development teams (including data engineers, data scientists) to develop, test and build scalable products leveraging AI and advanced analytical models. Work closely with business users (e.g. demand planners, material management) to gather feedback and ensure the analytical models and solutions are tailored for their operational needs Change Management & Adoption Develop and execute rollout plans for digital applications, including training and onboarding for key end users. Develop and track KPIs to monitor performance of predictive (e.g. forecasting models) or prescriptive (simulation, AI based decision tools) models and collaborate with data science teams to ensure models are regularly calibrated and validated. About You Skills and Qualifications Bachelor’s or Master’s degree in operations research or any engineering/science/supply chain discipline from a recognized university with GPA 7.0 Minimum 3 years of experience in a business/data analyst or related role primarily supporting global supply chain operations with familiarity of Supply chain concepts like demand planning, inventory optimization, S&OP, logistics, network design. At least 1 year of experience with analytical tools/advanced modeling such as python or R where you have transformed complex sets of data to generate business insights through data analysis, pattern identification or statistical modeling. Familiar with software product development frameworks like agile. At least 1 year of hands-on experience in developing visualization or analysis using analytics tool like power BI, or quicksight or tableau. At least 1 year of experience working in a supply chain function – planning, logistics, material management. Proven track record of developing and implementing data-driven analyses to improve operational efficiency. Strong understanding and hands-on experience with analytics and data visualization tools (e.g., Tableau, Power BI, plotly). Proficiency in programming languages such as SQL, Python or R to do data wrangling and modeling. Preferred knowledge Exposure to forecasting models, optimization or any supply chain design tools (e.g. Llamasoft) Exposure to machine learning, AI (NLP, LLMs) solutions used in Supply chain industry for predictive and prescriptive analytics. Experience contributing to the development of commercial-grade software applications for supply chain use cases Familiar with software testing and development practices (Agile) Ability to demonstrate initiative, teamwork, accuracy, effectiveness, and self-confidence Strong problem-solving skills and the ability to work independently and as part of a team. Excellent communication skills, both written and verbal. Your benefits An ExxonMobil career is one designed to last. Our commitment to you runs deep: our employees grow personally and professionally, with benefits built on our core categories of health, security, finance and life. We offer you: Competitive compensation Medical plans, maternity leave and benefits, life, accidental death and dismemberment benefits Retirement benefits Global networking & cross-functional opportunities Annual vacations & holidays Day care assistance program Training and development program Tuition assistance program Workplace flexibility policy Relocation program Transportation facility Please note benefits may change from time to time without notice, subject to applicable laws. The benefits programs are based on the Company’s eligibility guidelines. Stay connected with us Learn more about ExxonMobil in India, visit ExxonMobil India and Energy Factor India. Follow us on LinkedIn and Instagram Like us on Facebook Subscribe our channel at YouTube EEO Statement ExxonMobil is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin or disability status. Business solicitation and recruiting scams ExxonMobil does not use recruiting or placement agencies that charge candidates an advance fee of any kind (e.g., placement fees, immigration processing fees, etc.). Follow the LINK to understand more about recruitment scams in the name of ExxonMobil. Nothing herein is intended to override the corporate separateness of local entities. Working relationships discussed herein do not necessarily represent a reporting connection, but may reflect a functional guidance, stewardship, or service relationship. Exxon Mobil Corporation has numerous affiliates, many with names that include ExxonMobil, Exxon, Esso and Mobil. For convenience and simplicity, those terms and terms like corporation, company, our, we and its are sometimes used as abbreviated references to specific affiliates or affiliate groups. Abbreviated references describing global or regional operational organizations and global or regional business lines are also sometimes used for convenience and simplicity. Similarly, ExxonMobil has business relationships with thousands of customers, suppliers, governments, and others. For convenience and simplicity, words like venture, joint venture, partnership, co-venturer, and partner are used to indicate business relationships involving common activities and interests, and those words may not indicate precise legal relationships. Job Segment: Sustainability, Testing, Embedded, Database, SQL, Energy, Technology

Summary Associate Director, DDIT US&I Analytics Sol. Architecture: Associate Director, DDIT US&I Analytics Sol. Architecture role at Novartis involves overseeing architectural activities for the US&I Analytics Capabilities domain, including GenAI, AIMLOps, NLP, and Visualization. The individual will manage the development of solution architectures, ensuring alignment with business and technical capabilities, and defining standards for architecture within the domain. Responsibilities include developing strategies for data management, utilizing architecture patterns, and evolving the Architecture Governance Framework. The role also focuses on incubating and adopting emerging technologies, aligning innovation efforts with business and IT strategies, and driving end-to-end accountability for services and products across cross-functional areas About The Role Roles and Responsibilities: Strategic Leadership: Develop and implement analytics solutions that align with business strategies and drive innovation. Technical Expertise: Utilize advanced analytics frameworks and tools to deliver high-quality solutions. Oversee architectural activities for a US&I Analytics Capabilities domain (GenAI, AIMLOps, NLP, Visualization) and manage the development of solution architectures for projects or programs within the US&I DAI business area. Coordinate with other teams to ensure the right business and technical capabilities are incorporated into the solution with an appropriate scaling model for future capacity increases. Ensure business processes, requirements & outcomes are defined to drive the analytics platform architecture definition. Define standards and direction of architecture in the specific business or technical domain. Define and develop the logical design and information management strategies necessary to store, move, and manage data in a new target state. Utilize architecture patterns to suggest the most adequate utilization of Data and analytics technical platforms to support the holistic DAI solution architecture design. Define, create, and evolve the Architecture Governance Framework (e.g., architecture methods, practices, and standards) for IT. Incubate and adopt emerging technologies and launch products/services faster with rapid prototyping & iterative methods to prove and establish value. For identified technologies, launch to enterprise scale, ensuring value is derived. Focus and align innovation efforts with the Business strategy, IT strategy, and legal/regulatory requirements. Establish and update strategies, implementation plans, and value cases to implement emerging technologies. Drive innovation using appropriate people, processes, partners, and tools. Responsibilities Has end-to-end accountability for services and products that are incubated, established, and delivered across cross-functional business areas. Serves as point of escalation, review, and approval for key issues and decisions Take decisions on the resource and capacity plans in line with Business priorities and strategies and close collaboration with delivery teams Decide on continuous improvement within the team Decides on the program timeline, governance, and deployment strategy Project Management: Oversee the delivery of data lake projects, including data acquisition, quality, transformation, and publishing. Collaboration: Work closely with business stakeholders to understand requirements and deliver solutions that meet their needs. Innovation: Stay updated with industry trends and emerging technologies to drive continuous improvement. Key Performance Indicators AI Model Performance : Accuracy, precision, recall, and F1 score of deployed AI models. Improvement in model performance metrics over time. AI Solution Deployment Time taken to deploy AI solutions from development to production. Number of AI solutions successfully deployed and operational. Innovation And Technology Adoption Number of new AI technologies and methodologies adopted. Time to market for new AI innovations. Data Management And Utilization Quality and completeness of data used for AI model training. Efficiency in data preprocessing and feature engineering. Scalability And Efficiency Scalability of AI solutions across different business units. Resource utilization efficiency (e.g., computational resources, storage). Governance And Compliance Compliance rate with AI ethics and governance standards. Frequency of audits and reviews for AI models and solutions. Cross-functional Collaboration Number of collaborative projects with other departments (e.g., data science, IT). Feedback from stakeholders on the effectiveness of AI solutions. Business Impact Contribution of AI solutions to business KPIs (e.g., revenue growth, cost reduction). ROI from AI projects and initiatives. User Adoption And Satisfaction User adoption rate of AI solutions. User satisfaction scores and feedback on AI tools and applications. Continuous Improvement Frequency of model retraining and updates. Number of improvements made based on user feedback and performance monitoring. Skills Emerging Technology Monitoring, Consulting, Influencing & persuading, Unbossed Leadership, IT governance, building High Performing Teams, Vendor Management, Innovative & Analytical Technologies. Solid understanding of Analytical and technical frameworks for descriptive and prescriptive analytics. Strong familiarity with AWS, Databricks, DataIku, Azure AI, and Snowflake analytics service offerings. Experience integrating disparate analytical and visualization platforms. Strong knowledge of ML Ops and project life cycle management. Strong exposure to data security and governance policy definitions and enforcement capabilities. Data product-centric approach to defining solutions. Collaborate with business in gathering requirements, grooming product backlogs, driving delivery, and ongoing data product enhancements. Agile delivery experience managing multiple concurrent delivery cycles. Sound foundation in Analytical Data life cycle management. Awareness of Data product change Management and risk mitigation. Education University Degree and/or 10+ yrs of relevant experience and professional qualifications Commitment To Diversity & Inclusion We are committed to building an outstanding, inclusive work environment and diverse teams representative of the patients and communities we serve. Accessibility and accommodation Novartis is committed to working with and providing reasonable accommodation to individuals with disabilities. Please include the job requisition number in your message. Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients’ lives. Ready to create a brighter future together? https://www.novartis.com/about/strategy/people-and-culture Join our Novartis Network: Not the right Novartis role for you? Sign up to our talent community to stay connected and learn about suitable career opportunities as soon as they come up: https://talentnetwork.novartis.com/network Benefits and Rewards: Read our handbook to learn about all the ways we’ll help you thrive personally and professionally: https://www.novartis.com/careers/benefits-rewards Show more Show less

KMK is a global data analytics and technology consulting company empowering leaders across the Life Sciences industries to make better data-driven decisions. Our data analytics and software platforms support data science, commercial operations, real-world evidence, and cloud information management. We help to optimize business strategy and operations by delivering cutting-edge analytics from the broadest set of data sources, combined with deep technical and domain expertise. We enable commercial excellence by delivering analytical guidance to the field through our cloud-based sales planning and operations platform. We are leaders in managing data using the latest cloud information management and big data technologies. We have more than 220 employees worldwide, are growing rapidly, and are proud to count a number of the top 10 global Life Sciences companies as our customers. We serve clients with a high-touch on-site and onshore presence, leveraged by a global delivery platform. Senior Associate, Patient Analytics- INDIA Key Responsibilities: Analyze and interpret patient-level claims data to uncover actionable insights for pharma clients. Support the development of patient journey analysis, market landscape, treatment overview, adherence studies, and other patient-centric analytics solutions. Design, develop, and maintain dashboards and visualizations in Tableau tailored to client needs. Collaborate with project managers and clients to define business requirements and translate them into analytical frameworks. Ensure quality control and accuracy in data handling and reporting. Provide mentorship to junior team members on analytics techniques and best practices. Qualifications: Bachelor’s degree in a quantitative field (e.g., Mathematics, Statistics, Economics, or Data Science). 3+ years of experience in US Pharma consulting, with a focus on patient analytics and claims data. Proficiency in Tableau for creating insightful dashboards and visualizations. Strong analytical and problem-solving skills, with the ability to interpret complex datasets. Excellent communication skills to present findings effectively to clients. Good to Have: Familiarity with Dataiku for data preparation and machine learning workflows. Show more Show less

Job Description SAP Quality Management/ SAP Warehouse Management/ SAP Sales & Distribution/ Dataku Administration/ SAP Controlling ? Hyderabad/Bangalore Candidate Specification: Candidates must have 7+ Years of experience. Job Description: SAP Quality Management Candidates who have 7-9 years of experience and good exposure in SAP Quality Management must have SSE SAP PP/QM with PI (Process Industries). SAP Warehouse Management Candidates who have 7-9 years of experience and experience in SAP Warehouse Management must have SE SAP MM/WM. SAP Sales and Distribution Candidates who have 7+ year?s experience in SAP Sales and Distribution should have Strong functional understanding of SAPs SD with 5 plus years of experience and Configuration expertise in Pricing, Sales Cycle set up and Intercompany set up and good knowledge of interface set up with customers and other third-party systems. Hands on SAP integration experience with SAP MM FI Functional experience with ABAP pricing routines and sales document user exits (sales order delivery and billing etc.) Possess a strong business and customer/client focus. Experience in business process definition requirements definition, solution architecture and experience with writing Functional Specs for RICEFW Needs to have experience in production support projects based on ITIL Methodology Writing of functional/technical specifications for ABAP custom programs and interfaces. Dataiku Administration Candidates who have good 3+ years of exposure in Dataiku Administration should have minimum 3 years of experience in Dataiku Administration working in production support projects and must be Dataiku Certified. Experience and Strong Knowledge of Linux Very good at Job level troubleshooting in python issues and python scripting. Understand the Dataiku Project Flow Experience in Installing, configuring and maintaining troubleshooting and monitoring Dataiku clusters Troubleshoot development and production application problems across multiple environments and operating platforms Kubernetes experience is a plus Strong communication skill is needed Experience and knowledge on GCP(Optional). SAP Controlling Candidates with good7+ years of exposure in SAP Controlling Candidate should have experience of 4-6 years in SAP CO and Candidate should have good knowledge on projects implementation and support activities. Should have at least 1-2 full cycle implementations with good experience in Allocations and costs and expense postings and experience in Inventory accounting. Skills Required RoleSAP Quality Management/ Warehouse Management/ Sales & Distribution/ Dataku Administration/ Controlling Industry TypeIT/ Computers - Software Functional AreaIT-Software Required EducationAny Graduates Employment TypeFull Time, Permanent Key Skills "SAP" Other Information Job CodeGO/JC/21462/2025 Recruiter NameSheena Show more Show less

Overview: The Associate Data Scientist supports the development and implementation of data models, focusing on Machine Learning, under the supervision of more experienced scientists, contributing to the team’s innovative projects. Job Description: Assist in the development of Machine Learning models and algorithms, contributing to the design and implementation of data-driven solutions. Perform data preprocessing, cleaning, and analysis, preparing datasets for modeling and supporting higher-level data science initiatives. Learn from and contribute to projects involving Deep Learning and General AI, gaining hands-on experience under the guidance of senior data scientists. Engage in continuous professional development, enhancing skills in Python, Machine Learning, and related areas through training and practical experience. Collaborate with team members to ensure the effective implementation of data science solutions, participating in brainstorming sessions and project discussions. Support the documentation of methodologies and results, ensuring transparency and reproducibility of data science processes. Qualifications: Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field, with a strong interest in Machine Learning, Deep Learning, and AI. Experience in a data science role, demonstrating practical experience and strong Python programming skills. Exposure to Business Intelligence (BI) & Data Engineering concepts and tools. Familiarity with data platforms such as Dataiku is a bonus. Skills: Solid understanding of Machine Learning principles and practical experience in Python programming. Familiarity with data science and machine learning libraries in Python (e.g., scikit-learn, pandas, NumPy). Eagerness to learn Deep Learning and General AI technologies, with a proactive approach to acquiring new knowledge and skills. Strong analytical and problem-solving abilities, capable of tackling data-related challenges and deriving meaningful insights. Basic industry domain knowledge, with a willingness to deepen expertise and apply data science principles to solve real-world problems. Effective communication skills, with the ability to work collaboratively in a team environment and contribute to discussions. v4c.ai is an equal opportunity employer. We value diversity and are committed to creating an inclusive environment for all employees, regardless of race, color, religion, gender, sexual orientation, national origin, age, disability, or veteran status. We believe in the power of diversity and strive to foster a culture where every team member feels valued and respected. We encourage applications from individuals of all backgrounds and experiences. If you are passionate about diversity and innovation and thrive in a collaborative environment, we invite you to apply and join our team. Show more Show less

Overview: The Data Scientist supports the development and implementation of data models, focusing on Machine Learning, under the supervision of more experienced scientists, contributing to the team’s innovative projects. Job Description: Assist in the development of Machine Learning models and algorithms, contributing to the design and implementation of data-driven solutions. Perform data preprocessing, cleaning, and analysis, preparing datasets for modeling and supporting higher-level data science initiatives. Learn from and contribute to projects involving Deep Learning and General AI, gaining hands-on experience under the guidance of senior data scientists. Engage in continuous professional development, enhancing skills in Python, Machine Learning, and related areas through training and practical experience. Collaborate with team members to ensure the effective implementation of data science solutions, participating in brainstorming sessions and project discussions. Support the documentation of methodologies and results, ensuring transparency and reproducibility of data science processes. Qualifications: Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field, with a strong interest in Machine Learning, Deep Learning, and AI. Experience in a data science role, demonstrating practical experience and strong Python programming skills. Exposure to Business Intelligence (BI) & Data Engineering concepts and tools. Familiarity with data platforms such as Dataiku is a bonus. Skills: Solid understanding of Machine Learning principles and practical experience in Python programming. Familiarity with data science and machine learning libraries in Python (e.g., scikit-learn, pandas, NumPy). Eagerness to learn Deep Learning and General AI technologies, with a proactive approach to acquiring new knowledge and skills. Strong analytical and problem-solving abilities, capable of tackling data-related challenges and deriving meaningful insights. Basic industry domain knowledge, with a willingness to deepen expertise and apply data science principles to solve real-world problems. Effective communication skills, with the ability to work collaboratively in a team environment and contribute to discussions. v4c.ai is an equal opportunity employer. We value diversity and are committed to creating an inclusive environment for all employees, regardless of race, color, religion, gender, sexual orientation, national origin, age, disability, or veteran status. We believe in the power of diversity and strive to foster a culture where every team member feels valued and respected. We encourage applications from individuals of all backgrounds and experiences. If you are passionate about diversity and innovation and thrive in a collaborative environment, we invite you to apply and join our team. Show more Show less

What You’ll Do Must have proven experience in Building front-end and back-end components for AI applications, building/consuming APIs, building customer centric user interfaces and designing integrations with other systems using .Net, JavaScript, Angular or React, SQL Must have proven experience in solution deployment by packaging trained AI models as services using Azure deployment services, Kubernetes, and GitHub for version control. Should have in depth understanding of Azure AI services such as Azure Machine Learning and Cognitive Services along with other AI technologies, natural language processing (NLP), computer vision and GPT models Should have strong expertise in articulating and documenting solution architecture for AI projects by collaborating with solution architect and enterprise architects. Must have abilities to collaborate with business leaders to understand their pain points and identify key areas where AI solutions can drive significant business benefit. Must have strong analytical and problem-solving skills, with the ability to translate business requirements into effective AI solutions. Must have excellent communication skills, with the ability to convey complex AI technical concepts to non-technical stakeholders Qualifications Bachelors in engineering/ B.E/B. Tech and/or required equivalent MCA. Overall 10+ years’ experience with proven track record of 5+ years in Solutioning and deploying end to end AI Technical skills : Net, JavaScript, Angular or React, SQL Server, Azure deployment services, Kubernetes, GitHub , Azure Cognitive Services , GPT models, added advantage with GitHub Copilot Skills Proficiency in front-end technologies (React or Angular) and back-end technologies (e.g., Node.js, Python, .NET). Strong understanding of AI and machine learning frameworks (e.g., TensorFlow, PyTorch). Experience with cloud and hybrid infrastructures. Proficiency in scripting and automation tools (e.g., PowerShell, Azure CLI) Expertise in cloud native development specialized in Microsoft Azure tech stack Experience of working on AI use cases involving in Salesforce AI (Einstein and Agentforce), ServiceNow AI (NowAssist and AI Agents), SAP AI (Joule) , Oracle Cloud AI, AI applications in Industry 4.0 Experience with AI platforms like Palantir, Snowflake, and DataIku is advantageous ]]> Show more Show less