228 Dataiku Jobs - Page 3

About Team: IT Team is responsible for overseeing IT Assets (hardware and software) issuance and allocations to the respective users. Our motto is “ Getting IT Right Every time ” and our expectation is that we will ensure that all our end users across all grades (full-time MGs), interns, off rolls, SG) have access to the best IT assets which will help the users in delivering their duties to their fullest abilities and thereby contributing to the ever-increasing growth of the organization. Title IT Program Manager (Finance) About the role Work with the IT Head and drive the following key KPIs: Usage Monitoring: Track the usage of key licenses and proactively highlight any potential overage risks. Building up the consumption and tracking up the best renewal requirements. Cost Provisioning: Assist accounting team in closure of books through timely and correct provisioning of usage and cost actualisation for P&L management. Cost projection and planning for high value tools and software. Budget Tracking: Work with product and engineering teams to prepare the company wide budgets. Track the actual expenditure vs budgeted and appraise the management of any deviation Evaluate budget planning and cost management for various licenses, softwares, API and other cloud services. Contract Negotiation: Work with the purchase team in negotiating and structuring the contracts of different IT related services. Check with business for any renewal requirement of IT related tools and softwares. Optimization: Employ AI tools to drive ongoing enhancements in processes, systems, and tracking Superpowers/ Skills that will help you succeed in this role Degree in Finance with 5+ years of experience Excellent verbal and written communication abilities across all levels of an organization Cohesively work with a lot of people, across functional teams every day Advanced Microsoft Excel skills and experience with other financial systems such as SAP, Anaplan Proficiency with AI tools including ChatGPT, Google Gemini, and Notebook LM

Job Description Primary Purpose Levi’s is looking for a Data and Planning Operations analyst expert to support the SAMEA MPIM team. The ideal candidate is a great storyteller and strong technical contributor who has experience solving business problems with data-driven tools. Reporting & Analytics expert will play a pivotal role in leveraging data to provide actionable insights, drive strategic decisions, and enhance overall business performance. You will collaborate with cross-functional teams, including commercial, planning and supply operations, merchandising and global projects (ARC) team to analyze complex datasets, create reports, and develop data models to support key business initiatives. You will be responsible for managing the design, development and maintenance of ongoing metrics, reports, analysis and dashboards. Planning Operations: You will oversee the key milestones of planning operations like S&OP, Investment Review and ensure alignment across cross-functional teams, and drive the implementation of best practices to achieve business objectives. Data Analytics Responsibilities INCLUDED BUT NOT LIMITED TO Collect, clean, and analyze large datasets from various sources (internal and external) to uncover insights that drive business decisions. Develop and maintain dashboards and reports to track key performance indicators (KPIs) and operational metrics. Perform trend analysis and scenario planning to support decision-making for planning and supply chain teams. Identify opportunities for process improvements by analyzing data trends and performance patterns. Collaborate with business units to translate data insights into actionable strategies that improve customer experience, operational efficiency, and profitability. Work closely with data engineers and IT teams to ensure data accuracy, integrity, and security. Present findings and recommendations to stakeholders, including senior leadership, through clear visualizations and reports. Stay current with industry trends and best practices in data analytics, tools, and methodologies to continuously improve data processes. Planning Operations S&OP Process: Act as a key S&OP consolidation point from affiliate to Asia level Open to Buy Support the SAMEA MPIM lead and teams in producing monthly S&OP content and risk scenario planning for the cluster and affiliates. Develop and drive the Planning milestone calendar across the planning organization (C2C/GTM) Support, develop, and drive key GTM check-point meetings, such as Investment Review by Cluster, schedule and participate in the cluster IR review process. Project Management Facilitate and drive new ways of working and process improvement work within MP&IM and cross-functional partners to drive simplification Participate in key regional / global project to capture clusters requirements and drive implementation of new tools, systems, ways of working. Partnership Lead cross functional collaboration (IM, MP, Merch, Supply) that promote simplification, better decision-making efficiencies. Work with stakeholders to ensure communication and action is aligned between the teams. Collaborate with Training Lead when there are trainings or introduction of new tools. Collaborate with planning teams and IM on ensuring information is most accurate before publication. Facilitates the creation and actioning of, but not limited to, following Key Reports Business performance review / investment review / hind-sighting / ageing report / item plan control / assortment shares Support cross cluster Asia Planning Operations & Analytics team and provide back-up for cluster related priorities Bachelor's in economics, Statistics, Data, Data Science and Engineering (Masters is a plus) or equivalent experience. Work in an international environment, with cross countries entities Experience in business analysis related function (Fashion can be an asset) Experience at working both independently and in a team-oriented, collaborative environment is essential 5+ years of professional experience analyzing complex data, drawing conclusions, and making recommendations. Has Project management experience is a plus. Hands on experience working with big data such as sales, inventory management, planning etc. retail knowledge is a plus Ability to translate and present complex analysis in executive summaries. Clear and effective written and verbal communication and strong interpersonal skills. Specialized Knowledge/Technical Skills: 5+ years of applied data visualization experience. Looker and PowerBI as main visualization tools. 5+ years of experience in extracting & manipulating large data sets from various relational databases using SQL (Google BigQuery, MSsql, dbt) Experience with data integration tools such as Dataiku or Data Fusion is a plus Coding skills in at least one statistical or programming language (R or Python preferred) to import, summarize, and analyze data. Decision Making And Problem Solving Skilled team member who possesses exceptional analytical, communication and influencing skills Excellent interpersonal skills, with the ability to interact across the organization Clear simple communication supported by detailed analysis. Pragmatic can do attitude that is solution driven. Team player willing to identify and spread best practice. Open minded. Self-Motivated. Time management. Move fast (able to make decisions and comfortable with ambiguity) LOCATION India, Bangalore - Office FULL TIME/PART TIME Full time Current LS&Co Employees, apply via your Workday account.

Job Title : MSAT Support Statistician Location: Hyderabad About the job Sanofi is a global life sciences company committed to improving access to healthcare and supporting the people we serve throughout the continuum of care. From prevention to treatment, Sanofi transforms scientific innovation into healthcare solutions, in human vaccines, rare diseases, multiple sclerosis, oncology, immunology, infectious diseases, diabetes and cardiovascular solutions. As a company with a global vision of drug development and a highly regarded corporate culture, Sanofi is recognized as one of the best pharmaceutical companies in the world and is pioneering the application of advanced statistical methodologies to drive manufacturing excellence and ensure product quality across our global network. Our Global MSAT Statistical Support team acts as a cornerstone to this effort. We provide critical statistical expertise to all manufacturing sites worldwide, enabling data-driven decision making and continuous improvement. Our team members serve as trusted partners to manufacturing operations, quality assurance, and process development teams, delivering statistical insights that drive operational excellence and regulatory compliance. Main responsibilities: Able to understand the business need (potentially translated from French), drive and conduct statistical analysis interacting with people having different cultures, different backgrounds (like pharmaceutical engineers) Designing and implementing statistical control charts to monitor and optimize manufacturing and analytical/quality control processes Conducting capability studies to assess process performance and identify improvement opportunities Leading statistical comparability analyses to ensure consistency across manufacturing sites and processes, to facilitate technology transfers, and compare suppliers performances Performing stability studies using linear and non-linear modeling approaches (i.e. thermokinetic models) Supporting method validation through robust statistical design and analysis Designing and analyzing experiments (DOE) to optimize process parameters and product quality Conducting exploratory statistical analyses to support manufacturing investigations and continuous improvement Performing various data analysis (mixed-effects model, MVDA, equivalence testing…) and modeling to meet customer needs Collaborating with cross-functional teams to translate statistical insights into actionable recommendations Delivering timely, actionable statistical reports and analyses to manufacturing sites worldwide, translating complex data into clear insights that address site-specific challenges while maintaining global quality standards. Understanding Statistical SOP and train colleagues to it Understanding Protocols and customers' needs About you Experience : Experience in statistical analysis in pharmaceutical or manufacturing environments. Soft skills : Outstanding communication skills to convey complex statistical concepts to diverse audiences in a multicultural environment (in term of language - non-native English speakers- and background -not always related to statistics). Meticulous attention to detail and commitment to scientific rigor. Strong analytical mindset with the ability to propose innovative solutions. Strong analytical and synthesis skills. Forward-thinking with excellent anticipation of potential challenges. Methodical/organized/rigorous. Passion for standardization and harmonization of statistical approaches Technical skills : Baseline Capabilities: Proficiency in statistical software: Expert knowledge of statistical tools, programming skills on software like SAS, JMP, R, Python, or Dataiku. Statistical methodology: Strong foundation in statistical process control, experimental design, and multivariate analysis. Manufacturing knowledge: Understanding of pharmaceutical manufacturing processes and quality requirements. Regulatory knowledge: Familiarity with statistical aspects of pharmaceutical regulations and guidelines Stretch Capabilities: Understanding of relational databases and familiarity with data management tools: MS SQL Server, MySQL and Snowflake. Data visualization: Experience creating compelling visual representations of complex data using Power BI, Streamlit, etc. Familiarity with Git/GitHub for version control. Education : Master's degree in Statistics Languages : Verbal and written fluency in English, French is a bonus Pursue Progress, discover Extraordinary Better is out there. Better medications, better outcomes, better science. But progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let’s be those people. At Sanofi, we provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity. Watch our ALL IN video and check out our Diversity Equity and Inclusion actions at sanofi.com!

Job Title : MSAT Support Statistician Location: Hyderabad About the job Sanofi is a global life sciences company committed to improving access to healthcare and supporting the people we serve throughout the continuum of care. From prevention to treatment, Sanofi transforms scientific innovation into healthcare solutions, in human vaccines, rare diseases, multiple sclerosis, oncology, immunology, infectious diseases, diabetes and cardiovascular solutions. As a company with a global vision of drug development and a highly regarded corporate culture, Sanofi is recognized as one of the best pharmaceutical companies in the world and is pioneering the application of advanced statistical methodologies to drive manufacturing excellence and ensure product quality across our global network. Our Global MSAT Statistical Support team acts as a cornerstone to this effort. We provide critical statistical expertise to all manufacturing sites worldwide, enabling data-driven decision making and continuous improvement. Our team members serve as trusted partners to manufacturing operations, quality assurance, and process development teams, delivering statistical insights that drive operational excellence and regulatory compliance. Main responsibilities: Able to understand the business need (potentially translated from French), drive and conduct statistical analysis interacting with people having different cultures, different backgrounds (like pharmaceutical engineers) Designing and implementing statistical control charts to monitor and optimize manufacturing and analytical/quality control processes Conducting capability studies to assess process performance and identify improvement opportunities Leading statistical comparability analyses to ensure consistency across manufacturing sites and processes, to facilitate technology transfers, and compare suppliers performances Performing stability studies using linear and non-linear modeling approaches (i.e. thermokinetic models) Supporting method validation through robust statistical design and analysis Designing and analyzing experiments (DOE) to optimize process parameters and product quality Conducting exploratory statistical analyses to support manufacturing investigations and continuous improvement Performing various data analysis (mixed-effects model, MVDA, equivalence testing…) and modeling to meet customer needs Collaborating with cross-functional teams to translate statistical insights into actionable recommendations Delivering timely, actionable statistical reports and analyses to manufacturing sites worldwide, translating complex data into clear insights that address site-specific challenges while maintaining global quality standards. Understanding Statistical SOP and train colleagues to it Understanding Protocols and customers' needs About you Experience : Experience in statistical analysis in pharmaceutical or manufacturing environments. Soft skills : Outstanding communication skills to convey complex statistical concepts to diverse audiences in a multicultural environment (in term of language - non-native English speakers- and background -not always related to statistics). Meticulous attention to detail and commitment to scientific rigor. Strong analytical mindset with the ability to propose innovative solutions. Strong analytical and synthesis skills. Forward-thinking with excellent anticipation of potential challenges. Methodical/organized/rigorous. Passion for standardization and harmonization of statistical approaches Technical skills : Baseline Capabilities: Proficiency in statistical software: Expert knowledge of statistical tools, programming skills on software like SAS, JMP, R, Python, or Dataiku. Statistical methodology: Strong foundation in statistical process control, experimental design, and multivariate analysis. Manufacturing knowledge: Understanding of pharmaceutical manufacturing processes and quality requirements. Regulatory knowledge: Familiarity with statistical aspects of pharmaceutical regulations and guidelines Stretch Capabilities: Understanding of relational databases and familiarity with data management tools: MS SQL Server, MySQL and Snowflake. Data visualization: Experience creating compelling visual representations of complex data using Power BI, Streamlit, etc. Familiarity with Git/GitHub for version control. Education : Master's degree in Statistics Languages : Verbal and written fluency in English, French is a bonus Pursue Progress, discover Extraordinary Better is out there. Better medications, better outcomes, better science. But progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let’s be those people. At Sanofi, we provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity. Watch our ALL IN video and check out our Diversity Equity and Inclusion actions at sanofi.com!

1. Dataiku exp of at least 1.5-2 years. Good to know on creating and handling partitioned dataset in Dataiku. 2. Good with Python, data handling using pandas, numpy (Pandas and numpy are must and must know it in depth) and basics of regex. 3. Should be able to work on GCP big query and use terraform as base for managing the code changes. About Virtusa Teamwork, quality of life, professional and personal development: values that Virtusa is proud to embody. When you join us, you join a team of 27,000 people globally that cares about your growth — one that seeks to provide you with exciting projects, opportunities and work with state of the art technologies throughout your career with us. Great minds, great potential: it all comes together at Virtusa. We value collaboration and the team environment of our company, and seek to provide great minds with a dynamic place to nurture new ideas and foster excellence. Virtusa was founded on principles of equal opportunity for all, and so does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.

Job Description Job Title Associate 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 an Associate Specialist in Data Visualization, you will be 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. Collaborating with Data Viz leads and stakeholders to define key metrics, KPIs, and reporting needs. Participate and contribute in workshops to develop user stories, wireframes, and interactive visualizations. Ensuring timely delivery of high-quality outputs, while creating and maintaining SOPs, KPI libraries, and other essential governance documents. 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. Continuously innovative on visualization best practices & technologies by reviewing external resources & marketplace Required Experience And Skills 2+ 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, PowerApps, Qliksense, MicroStrategy, and ThoughtSpot Experience 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. Knowledge of pharma commercial data sources, including IQVIA, APLD, Claims, Payer, Salesforce, Financials, Veeva, Komodo, IPSOS, and other industry datasets to drive strategic insights is plus Experience in pharmaceutical commercial analytics, including Field Force Effectiveness, customer engagement, market performance assessment, as well as web, campaign, and digital engagement analytics is plus Experience in agile ways of working, including Agile/Scrum methodologies, iterative development, and continuous improvement in data visualization and analytics solutions. Good problem-solving and communication skills, with the ability to interpret data and provide actionable insights while effectively working in cross-functional environments. Basic understanding of product management principles, focusing on developing user-centric, scalable analytical solutions aligned with business needs. Familiarity with agile ways of working, including exposure to Agile/Scrum methodologies and participation in iterative development and continuous improvement initiatives in data visualization and analytics projects. Strong learning agility, with the ability to quickly adapt to new tools, technologies, and business environments while continuously enhancing analytical and technical skills. Who We Are We are known as Merck & Co., Inc., Rahway, New Jersey, USA in the United States and Canada and MSD everywhere else. For more than a century, we have been inventing for life, bringing forward medicines and vaccines for many of the world's most challenging diseases. 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. What We Look For Imagine getting up in the morning for a job as important as helping to save and improve lives around the world. Here, you have that opportunity. You can put your empathy, creativity, digital mastery, or scientific genius to work in collaboration with a diverse group of colleagues who pursue and bring hope to countless people who are battling some of the most challenging diseases of our time. Our team is constantly evolving, so if you are among the intellectually curious, join us—and start making your impact today. Current Employees apply HERE Current Contingent Workers apply HERE Search Firm Representatives Please Read Carefully Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails. Employee Status Regular Relocation VISA Sponsorship Travel Requirements Flexible Work Arrangements Hybrid Shift Valid Driving License Hazardous Material(s) Required Skills Business Intelligence (BI), Data Visualization, Requirements Management, User Experience (UX) Design Preferred Skills Job Posting End Date 06/24/2025 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 R341606

Dataiku exp of at least 1.5-2 years. Good to know on creating and handling partitioned dataset in Dataiku. Good with Python, data handling using pandas, numpy (Pandas and numpy are must and must know it in depth) and basics of regex. Should be able to work on GCP big query and use terraform as base for managing the code changes.

Data Scientist Hyderabad, 3 days WFO Highly skilled data scientist who will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. 4 to 7 years (II) of proven experience as a Data Scientist or in a similar role. Collaborate with AI/ML engineers, and architects to research, design, develop, and evaluate cutting-edge AI & generative AI models Build Train & Deploy AI Models to address real-world challenges Expertise working on AI platforms such as Dataiku, AWS Sagemaker, Bedrock, Snowflake Cortex AI etc. Interact with customers directly to understand the business problem, help and aid them in implementation of AI & generative AI solutions, deliver briefing and deep dive sessions to customers and guide customers on adoption patterns and paths to production Create and deliver best practice recommendations, tutorials, blog posts, publications, sample code, and presentations adapted to technical, business, and executive stakeholders Provide customer and market feedback to Product and Engineering teams to help define product direction Strong communication and client-facing skills, with the ability to translate technical concepts into business terms.

Summary Provide analytics support to Novartis internal customers (Countries & 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 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. Senior Analyst - Alignment and Call Plan Responsible for delivering Call plans/Alignments to support the Field teams in reaching HCPs/Patients. About The Role Position Title: Senior Analyst (Call Planning) Location – Hyd |India| Hybrid About The Role: Acts as a function level SME, works on multiple client engagements with collaborating with teams members to produce high quality results. Provide though leadership and innovation, lead initiatives of process excellence and possesses very strong analytical skills Your Responsibilities Include, But Are Not Limited To: Help develops new service offerings in close collaboration with functional and account management teams The responsibilities for this role include but not limited to deliver Call planning/ Refinements / Territory Alignments / Incentives independently with high quality, on time, error-free and in line with requirements. Able to communicate effectively and handle client calls independently. Should be able to contribute to ideas in team huddles for process improvements. Continuously improve processes by eliminating redundancies and inefficient process.- Should have proven ability to guide and Onboard new members quickly. Should be able to cross collaborate and identify bottle necks in newer processes or launches Build and deliver below customer requirements as per agreed SLAs (timeliness, accuracy, quality, etc) and drive excellent customer service Hands on to Customer segmentation & targeting, Field-force optimization, Territory alignment, Incentive compensation (Plan-Design-Admin), Territory sales performance reports, Activity (QTQ) performance reports, Others SFE support, Call plan management and Territory action plan report Deliver services through structured project management approach with appropriate documentation and communication throughout the delivery of services What You’ll Bring To The Role: Should be customer service oriented and strong and proactive business results-focus, and proven track record to provide insights that increase efficiency Support team leaders in recruitment and on-boarding of new associates within the organization. Leads capability building by actively prioritizing various knowledge sharing sessions that enables growth and improves quality of CSP Hyd deliverables across the function. Stay in sync with all internal functional operating procedures like time tracking, critical metric tracking and strong analytical thinking with problem solving approach. Build and 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 captures qualitative and quantitative reports of brands, disease areas, macroeconomic trends of Novartis operating markets, etc. Reporting, and other internal systems and processes. Comply to all Novartis operating procedures as per legal / IT / HR requirements Desirable Requirements: University/Advanced degree is required, Master’s degree in fields such as business administration, finance, computer science or technical field is preferred Experience (4+ years) in |Hands-On | Snowflake (SQL), ETL, Data Model Design IC, Pharma Analytics in a market research firm or pharmaceutical company or Pharma KPO and should have an understanding of Pharmaceutical business including its regulatory environment. Hands on to Dataiku, JCPM, JAMS, Python, SQL, Excel, Powerpoint, Zaidyn (good to have). Experience on JTD is required in case of Alignment hiring. Should be keen on learning new tools and techniques and adapt to technological transformations 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. Accessibility and accommodation Novartis is committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the recruitment process, or in order to perform the essential functions of a position, please send an e-mail to diversityandincl.india@novartis.com and let us know the nature of your request and your contact information. Please include the job requisition number in your message 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

Job Summary: We are seeking a highly skilled and experienced Senior Dataiku Specialist to join our data and analytics team. The ideal candidate will have a deep understanding of the Dataiku platform, extensive experience in data science and analytics, and a strong background in the Cloud ecosystem. This role will involve leading data projects, optimizing data workflows, and leveraging advanced analytics to drive business insights and decision-making. Responsibilities: Lead the design, development, and deployment of data science projects using the Dataiku platform. Collaborate with cross-functional teams to understand business requirements and translate them into data solutions. Develop and maintain data pipelines, ETL processes, and data workflows within Dataiku. Implement machine learning models and advanced analytics techniques to solve complex business problems. Ensure data quality, integrity, and security across all data projects. Provide technical guidance and mentorship to junior data scientists and analysts. Stay up to date with the latest trends and best practices in data science, analytics, and cloud computing. Experience: Extensive experience with the Dataiku Data Science Studio (DSS) platform, including data preparation, model building, and deployment. 5-10+ Years of relevant Data Analyst or Data Science or AI/ML Projects 5+ Years of relevant experience working in data analytics tools such as DataIku/Alteryx tools Strong proficiency in programming languages such as Python, and SQL. In-depth knowledge of machine learning algorithms, statistical analysis, and data visualization techniques. Expertise in connecting and integrating data from various source systems, including cloud platforms (e.g., AWS, Azure, Google Cloud). Excellent problem-solving skills and the ability to work on complex, ambiguous projects. Strong communication and collaboration skills, with the ability to work effectively in a team environment. Proven track record of delivering successful data projects and driving business value through data insights. Preferred Qualifications: Masters or bachelor’s degree in Data Science, Computer Science, Statistics, or a related field. Core or Advanced certifications related to DataIku.

Hi , Please find the below Job Description. Job Title: Senior Dataiku Specialist Duration: Full Time Location: Hybrid Job Description: Senior Dataiku Specialist Position Overview: We are seeking a highly skilled and experienced Senior Dataiku Specialist to join our data and analytics team. The ideal candidate will have a deep understanding of the Dataiku platform, extensive experience in data science and analytics, and a strong background in the Cloud ecosystem. This role will involve leading data projects, optimizing data workflows, and leveraging advanced analytics to drive business insights and decision-making. Key Responsibilities: Lead the design, development, and deployment of data science projects using the Dataiku platform. Collaborate with cross-functional teams to understand business requirements and translate them into data solutions. Develop and maintain data pipelines, ETL processes, and data workflows within Dataiku. Implement machine learning models and advanced analytics techniques to solve complex business problems. Ensure data quality, integrity, and security across all data projects. Provide technical guidance and mentorship to junior data scientists and analysts. Stay up-to-date with the latest trends and best practices in data science, analytics, and cloud computing. Required Expertise: Extensive experience with the Dataiku Data Science Studio (DSS) platform, including data preparation, model building, and deployment. 5-10+ Years of relevant Data Analyst or Data Science or AI/ML Projects 5+ Years of relevant experience working in data analytics tools such as DataIku/Alteryx tools Strong proficiency in programming languages such as Python, and SQL. In-depth knowledge of machine learning algorithms, statistical analysis, and data visualization techniques. Expertise in connecting and integrating data from various source systems, including cloud platforms (e.g., AWS, Azure, Google Cloud). Excellent problem-solving skills and the ability to work on complex, ambiguous projects. Strong communication and collaboration skills, with the ability to work effectively in a team environment. Proven track record of delivering successful data projects and driving business value through data insights. Preferred Qualifications: Masters or bachelor’s degree in Data Science, Computer Science, Statistics, or a related field. Core or Advanced certifications related to DataIku.

Req ID: 328138 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a IT Application Operations Service Analyst to join our team in Bengaluru, Karnātaka (IN-KA), India (IN). Mandatory Skills Required: Microsoft Technologies: L2 Operations experience, ITIL, Service now Service Now: ITSM, CSM, Reporting & Dashboards Monitoring & Observability Tools: Azure Alerting Optional: Databricks, DataIKU Familiarity with DevOps Pipelines Incident management according to defined service levels Resolving incidents within Service Desk assignment group with the help of the knowledge base Qualify and enhancing incident description and document activities in MR ServiceNow Inform users about the ticket status Ticket processing according to the status model Dispatching to other assignment teams Monitoring all open and unassigned incidents within BDAP Coordinating joint activities and cooperating with other 2nd/3rd level support groups inside and outside the own service organization Documenting solutions in the knowledge base (Knowledge Management or in FAQs on AnalyticsNet) Monitor SLA status or close breaches Handle IT Security or mayor incidents, if necessary, by initializing BDAP Internal Critical and Security Incident Team Alert processing according to defined service levels Processing of IT Security alerts according to knowledge articles Processing of Operational alerts according to knowledge articles Handling of Azure Service Health information Define knowledge articles for new types of alerts Service Request management Prequalify, approve and document activities in the MR ServiceNow notes Tracking the Request workflow Perform compliant firewall requests and changes on behalf of users (De- and whitelisting) Creation of new Service Requests (templates) for the Digi-Ops Service Catalog and maintenance of existing ones Prioritize ticket handling within full Digi-Ops team and define ticket priority based on defined standards Request Changes or Service Requests for Digi-Ops team Manage firewall requests for DO team (De- and whitelisting) and keep PIP_Whitelisting_Status overview up to date Track status, clarify questions, push the workflow and actively report back to team Present changes / service requests in CABs (change advisory boards) User Communication Distribution in official media channels (AnalyticsNet, Yammer, by mail to the target groups, MS Teams channel) Maintain AnalyticsNet Provide FAQs, Known Errors and update existing ones Post important announcements Post maintenance windows and downtimes Check for completeness of relevant information (FAQs, user guides, etc.) Knowledge management Update knowledge base / wiki articles & documents Pick up new topics document accordingly and train new Service Desk team members accordingly Manage DO knowledge base in MR ServiceNow Manage keywords (meta data) within knowledge base Read user guides and other AnalyticsNet content, proactively check for completeness, share Knowledge in team Event support Support events within the Data Analytics community in a self-coordinated way (e.g. technical preparation of wide-range training activities, Datathon support, etc.) About NTT DATA NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us . This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here . If you'd like more information on your EEO rights under the law, please click here . For Pay Transparency information, please click here .

MLOps/ML Engineer Gurgaon - Work from office Full Time We are seeking a skilled MLOps/ML Engineer to serve as our subject matter expert for Dataiku DSS. In this pivotal role, you will manage and scale our end-to-end machine learning operations, all of which are built on the Dataiku platform. Key responsibilities include designing automated data pipelines, deploying models as production APIs, ensuring the reliability of scheduled jobs, and championing platform best practices. Extensive, proven experience with Dataiku is mandatory. • Data Pipeline Development: Design and implement Extract, Transform, Load (ETL) processes to collect, process, and analyze data from diverse sources. • Workflow Optimization: Develop, configure, and optimize Dataiku DSS workflows to streamline data processing and machine learning operations. • Integration: Integrate Dataiku DSS with cloud platforms (e.g., AWS, Azure, Google Cloud Platform) and big data technologies such as Snowflake, Hadoop, and Spark. • AI/ML Model development & Implementation: Implement and optimize machine learning models within Dataiku for predictive analytics and AI-driven solutions. • MLOps & Data Ops: Deployment of data pipelines and AI/ML models within the Dataiku platform. • Dataiku Platform Management: Build, Manage & Support Dataiku platform. • Automation: Automate data workflows, monitor job performance, and ensure scalable execution. • Customization: Develop and maintain custom Python/R scripts within Dataiku to enhance analytics capabilities. • Dataiku Project Management: Develop and maintain custom Python/R scripts within Dataiku to enhance analytics capabilities. Required Skills and Qualifications: • Experience Level: 2 to 6 years of hands-on experience with Dataiku DSS platform and data engineering. • Educational Background: Bachelor’s or Master’s degree in Computer Science, Data Science, Information Technology, or a related field. • Technical Proficiency: • Experience with Dataiku DSS platform. • Strong programming skills in Python and SQL. • Familiarity with cloud services (AWS, Azure, GCP) and big data technologies (Hadoop, Spark). • Analytical Skills: Ability to analyze complex data sets and provide actionable insights. • Problem-Solving: Strong troubleshooting skills to address and resolve issues in data workflows and models. • Communication: Effective verbal and written communication skills to collaborate with team members and stakeholders. Thanks, and Regards Snehil Mishra snehil@ ampstek.com linkedin.com/in/snehil-mishra-1104b2154 Desk-6093602673Extension-125 www.ampstek.com https://www.linkedin.com/company/ampstek/jobs/ Ampstek – Global IT Partner Registered Offices: North America and LATM: USA|Canada|Costa Rica|Mexico Europe:UK|Germany|France|Sweden|Denmark|Austria|Belgium|Netherlands|Romania|Poland|Czeh Republic|Bulgaria|Hungary|Ireland|Norway|Croatia|Slovakia|Portugal|Spain|Italy|Switzerland|Malta| Portugal APAC:Australia|NZ|Singapore|Malaysia|South Korea|Hong Kong|Taiwan|Phillipines|Vietnam|Srilanka|India MEA :South Africa|UAE|Turkey|Egypt

Relocation Assistance Offered Within Country Job Number #167664 - Mumbai, Maharashtra, India Who We Are Colgate-Palmolive Company is a global consumer products company operating in over 200 countries specializing in Oral Care, Personal Care, Home Care, Skin Care, and Pet Nutrition. Our products are trusted in more households than any other brand in the world, making us a household name! Join Colgate-Palmolive, a caring, innovative growth company reimagining a healthier future for people, their pets, and our planet. Guided by our core values—Caring, Inclusive, and Courageous—we foster a culture that inspires our people to achieve common goals. Together, let's build a brighter, healthier future for all. Title: Assistant Manager, Global Data Science Brief introduction - Role Summary/Purpose: The Global Data Science team at Colgate-Palmolive builds and deploys analytics solutions to drive business growth, focusing on areas like Price Elasticity, Trade Promo Efficiency, and Marketing Effectiveness. To meet increasing demand, new geographically based "Advanced Analytics Pods" are being created, with this role leading the "Europe and Africa Eurasia Pod" and managing six data scientists. This position involves close collaboration with the capability center, Division Analytics and business teams to understand needs, prioritize projects, and deliver relevant analytics solutions. The role requires strong expertise in statistical data analytics, machine learning/AI, and CPG analytics to develop predictive models, manage large datasets, and translate insights into business impact. Responsibilities: Leads the scoping and delivery of Pricing, Promotion, and Marketing Effectiveness analytics, including conceptualizing and building predictive models, machine learning algorithms, and optimization solutions. Plays a key role in the governance and continuous improvement of internal analytics solutions, collaborating with other Advanced Analytics Pods. Translates complex analytical results and insights into easily understandable and actionable recommendations for business teams, effectively bridging the gap between business needs and data science. Develops and manages visualization deliverables and web applications to enable self-service analytics and diagnostics for various functions. Writes SQL and Python code to build and deploy scalable enterprise-level data science solutions (e.g., Marketing Mix Modeling, Revenue Growth Management) on cloud platforms using tools like Airflow, Docker, and Kubernetes. Leads, mentors, and coaches a team of data scientists, ensuring the quality of recommendations and solutions deployed globally, and drives new value by integrating internal and external data. Collaborates effectively with cross-functional teams (GIT, Data Architecture, Analytics Engineering) and business partners across geographies and time zones, assisting with change management and presenting insights to stakeholders. Required Qualifications: Educational Background & Experience: Requires a Bachelor's degree (Master's/MBA preferred) in a quantitative/technical field (Data Science, Engineering, Statistics, Economics, etc.) with 7+ years in data science and analytics, including 2+ years managing/setting up a data science team. Advanced Technical Expertise: Strong hands-on experience developing and deploying statistical models and machine learning algorithms (Regression, Random Forest, XGBOOST, Clustering, etc.) in production, with expert coding skills in Python, SQL, PySpark, and R. MLOps & Cloud Proficiency: Demonstrable experience with MLOps practices (GitHub, Airflow, Docker, Kubernetes, Databricks, Dataiku) and cloud platforms like Google Cloud and Snowflake, managing high-volume, varied data sources. Domain Specialization & Business Acumen: Expert knowledge in Marketing Mix Modeling, Revenue Growth Management, Optimization, Forecasting, and Marketing Analytics, preferably in CPG or consulting, with the ability to think strategically in complex business contexts. Client-Facing & Communication Skills: Proven experience in a client-facing role, supporting multi-functional teams, with exceptional communication, collaboration, presentation, and storytelling skills to convey insights to business stakeholders. Project Leadership & Execution: Ability to independently plan and execute deliveries, lead project teams for predictive modeling and ad-hoc data needs, and build processes for data transformation and management. Preferred Qualifications: Proficient in building web applications using frameworks like Pydash, Plotly, R Shiny, Streamlit, Django, Dash, Python Flask, React.js, or Angular JS. Experienced with advanced AI and machine learning concepts including Deep Learning, Reinforcement Learning, Image Recognition, GenAI, and understanding the real-world application of various ML techniques. Strong knowledge of cloud environments and MLOps tools, including Databricks, Docker, Azure Data Factory, machine learning APIs (Azure, AWS, Vertex AI), Snowflake, and Google Cloud components (Cloud Build, Cloud Run, Kubernetes). Familiar with data visualization tools (Domo, Looker, Streamlit), working with third-party data (syndicated market data, Point of Sales), and has experience in Data Science roles within the CPG industry, ideally in relevant geographies. Our Commitment to Inclusion Our journey begins with our people—developing strong talent with diverse backgrounds and perspectives to best serve our consumers around the world and fostering an inclusive environment where everyone feels a true sense of belonging. We are dedicated to ensuring that each individual can be their authentic self, is treated with respect, and is empowered by leadership to contribute meaningfully to our business. Equal Opportunity Employer Colgate is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity, sexual orientation, national origin, ethnicity, age, disability, marital status, veteran status (United States positions), or any other characteristic protected by law. Reasonable accommodation during the application process is available for persons with disabilities. Please complete this request form should you require accommodation.

Summary Job Description Summary Provide analytical support to Novartis key stakeholders to support decision-making processes. Support and facilitate data enabled decision making for Novartis internal customers by providing and communicating qualitative and quantitative analytics. Generate reports that supervise product metrics, progress, and KPIs. This role requires a blend of business insight and technical understanding, enabling you to collaborate with brand teams, marketing teams and all functions to maximize value. -Technical requirements - SQL, Dataiku, Python is a plus About the Role Key Responsibility: Solid understanding of multiple datasets (e.g. LAAD, Xponent, DDD) and managing and coordinating data sets from databases to find patterns and trends. Redefining these complex and granular data into actionable insights. Responsible for standard and ad-hoc extracts/reports across multiple primary and secondary data sources. Responsible for tracking ongoing outcomes reports and manage priorities for upcoming reports. Sharing findings with partners with reports and presentations on a timely basis. Putting together specifications to extract/transform data into required formats for different analytical elements using programming languages like SQL or other data processing tools. Build the foundation for more sophisticated approaches to APLD analysis and advanced analytics wherever it is required and beneficial. Establish and maintain positive relationships with key functional partners. Essential Requirements : Ability to work independently and as an integral member of the team and Attention to detail and quality focused, good interpersonal and communication skills, influence, negotiation and tact skills, innovative, and collaborative behaviors and “can-do” orientation. Curiosity and strong analytical thinking, verbal and written communication skills and exposure to working in multifunctional/cultural environment. Good communication and interpersonal skills. Conceptual, analytical & tactical thinking, strategic thought process. Ability to multi-task, work in a demanding distributed team environment, work under tight deadlines. Develop and maintain strong individual performance. Desirable Requirements : Masters or Bachelor’s in STEM At least 3+ years of experience in data modeling and reporting solutions development and hands-on experience of APLD and US national and subnational datasets and ability to lead teams functionally. Technical abilities: Excel, SQL or Dataiku, and PowerPoint is vital. Knowledge of statistical modeling or ML is a plus. 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 Division US Business Unit Universal Hierarchy Node Location India Site Hyderabad (Office) Company / Legal Entity IN10 (FCRS = IN010) Novartis Healthcare Private Limited Functional Area Marketing Job Type Full time Employment Type Regular Shift Work No Accessibility and accommodation Novartis is committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the recruitment process, or in order to perform the essential functions of a position, please send an e-mail to [email protected] and let us know the nature of your request and your contact information. Please include the job requisition number in your message. Novartis is committed to building an outstanding, inclusive work environment and diverse teams' representative of the patients and communities we serve.

Summary We are seeking a highly-skilled and experienced Marketing Cloud Testing team to join our team Marketing Automation team who works closely with brand teams; understands various data sources, adept in building data ingestion pipelines, skilled in testing end-to-end data ingestion layers, data models and visualization dashboards based on previously built test scripts. About the Role Key Responsibilities: Build e2e test scripts for each release based on user epics across the data value chain – ingestion, data model and visualization Post development, run the test scripts using any of testing platforms viz Proton etc Document results and highlight any bugs / errors to development team and work closely with development team to resolve the issues Must audit technical developments and solutions and validate matching of source data with MCI Additional responsibilities may include creating and updating knowledge documents in the repository as needed. Work closely with Technical Lead and Business Analysts to help design testing strategy and testing design as part of pre-build activities Participate in data exploration and data mapping activities along with technical lead and business and DDIT architects for any new data ingestion needs from business along with Development team Build and maintain standard SOPs to run smooth operations that enable proper upkeep of visualization data and insights Qualifications: Minimum of 3-4 years of experience in Dataroma / MCI as hands on developer Prior experience in any of visualization platforms viz Tableau, Qlik, Power BI as core developer is a plus Experience of working on Data Cloud and other data platforms is a plus Hand-on experience in using any ETL tools such as Informatica, Alteryx, DataIKU preferred Prior experience in testing automation platforms preferred Excellent written and verbal skills. Strong interpersonal and analytical skills Ability to provide efficient, timely, reliable, and courteous service to customers. Ability to effectively present information Demonstrated knowledge of the Data Engineering & Business Intelligence ecosystem Salesforce MCI certification. Familiarity with AppExchange deployment, Flow, Aura component and Lightning Web component will be a plus 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. Accessibility and accommodation: Novartis is committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the recruitment process, or in order to perform the essential functions of a position, please send an e-mail to diversityandincl.india@novartis.com and let us know the nature of your request and your contact information. 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 Division US Business Unit Universal Hierarchy Node Location India Site Hyderabad (Office) Company / Legal Entity IN10 (FCRS = IN010) Novartis Healthcare Private Limited Functional Area Marketing Job Type Full time Employment Type Regular Shift Work No Accessibility and accommodation Novartis is committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the recruitment process, or in order to perform the essential functions of a position, please send an e-mail to [email protected] and let us know the nature of your request and your contact information. Please include the job requisition number in your message. Novartis is committed to building an outstanding, inclusive work environment and diverse teams' representative of the patients and communities we serve.

Location: IN_Gurgaon_Bldg # 10 DLF Cyber City_HCS Job Family: Engineering Worker Type Reference: Regular - Permanent Pay Rate Type: Salary Career Level: T4(B) Job ID: R-40836-2024 Description & Requirements Introduction: A Career at HARMAN - Harman Tech Solutions (HTS) We’re a global, multi-disciplinary team that’s putting the innovative power of technology to work and transforming tomorrow. At HARMAN HTS, you solve challenges by creating innovative solutions. Combine the physical and digital, making technology a more dynamic force to solve challenges and serve humanity’s needs. Empower the company to create new digital business models, enter new markets, and improve customer experiences About the Role You will be responsible for driving the strategic direction of our AI and machine learning practice along with other key leaders. This role will involve leading internal AI/ML projects, shaping the technology roadmap, and overseeing client-facing projects including solution development, RFPs, presentations, analyst interactions, partnership development etc. The ideal candidate will have a strong technical background in AI/ML, exceptional leadership skills, and the ability to balance internal and external project demands effectively. In this strategic role, you will be responsible for shaping the future of AI/ML within our organization, driving innovation, and ensuring the successful implementation of AI/ML solutions that deliver tangible business outcomes. What You Will Do Drive Innovation, Differentiation & Growth Develop and implement a comprehensive AI/ML strategy aligned with our business goals and objectives. Ownership on growth of the COE and influencing client revenues through AI practice Identify and prioritize high-impact opportunities for applying AI/ML across various business units, departments and functions. Lead the selection, deployment, and management of AI/ML tools, platforms, and infrastructure. Oversee the design, development, and deployment of AI/ML solutions Define, differentiate & strategize new AI/ML services/offerings and create reference architecture assets Drive partnerships with vendors on collaboration, capability building, go to market strategies, etc. Guide and inspire the organization about the business potential and opportunities around AI/ML Network with domain experts Develop and implement ethical AI practices and governance standards. Monitor and measure the performance of AI/ML initiatives, demonstrating ROI through cost savings, efficiency gains, and improved business outcomes. Oversee the development, training, and deployment of AI/ML models and solutions. Collaborate with client teams to understand their business challenges and needs. Develop and propose AI/ML solutions tailored to client specific requirements. Influence client revenues through innovative solutions and thought leadership. Lead client engagements from project initiation to deployment. Build and maintain strong relationships with key clients and stakeholders. Build re-usable Methodologies, Pipelines & Models Create data pipelines for more efficient and repeatable data science projects Experience of working across multiple deployment environments including cloud, on-premises and hybrid, multiple operating systems and through containerization techniques such as Docker, Kubernetes, AWS Elastic Container Service, and others Coding knowledge and experience in languages including R, Python, Scala, MATLAB, etc. Experience with popular databases including SQL, MongoDB and Cassandra Experience data discovery/analysis platforms such as KNIME, RapidMiner, Alteryx, Dataiku, H2O, Microsoft AzureML, Amazon SageMaker etc. Expertise in solving problems related to computer vision, text analytics, predictive analytics, optimization, social network analysis etc. Experience with regression, random forest, boosting, trees, hierarchical clustering, transformers, convolutional neural network (CNN), recurrent neural network (RNN), graph analysis, etc. People & Interpersonal Skills Build and manage a high-performing team of AI/ML engineers, data scientists, and other specialists. Foster a culture of innovation and collaboration within the AI/ML team and across the organization. Demonstrate the ability to work in diverse, cross-functional teams in a dynamic business environment. Candidates should be confident, energetic self-starters, with strong communication skills. Candidates should exhibit superior presentation skills and the ability to present compelling solutions which guide and inspire. Provide technical guidance and mentorship to the AI/ML team Collaborate with other directors, managers, and stakeholders across the company to align the AI/ML vision and goals Communicate and present the AI/ML capabilities and achievements to clients and partners Stay updated on the latest trends and developments in the AI/ML domain What You Need 12+ years of experience in the information technology industry with strong focus on AI/ML having led, driven and set up an AI/ML practice in IT services or niche AI/ML organizations 10+ years of relevant experience in successfully launching, planning, and executing advanced data science projects. A master’s or PhD degree in computer science, data science, information systems, operations research, statistics, applied mathematics, economics, engineering, or physics. In depth specialization in text analytics, image recognition, graph analysis, deep learning, is required. The candidate should be adept in agile methodologies and well-versed in applying MLOps methods to the construction of ML pipelines. Candidate should have demonstrated the ability to manage data science projects and diverse teams. Should have experience in creating AI/ML strategies & services, and scale capabilities from a technology, platform, and people standpoint. Experience in working on proposals, presales activities, business development and overlooking delivery of AI/ML projects Experience in building solutions with AI/ML elements in any one or more domains – Industrial, Healthcare, Retail, Communication Be an accelerator to grow the practice through technologies, capabilities, and teams both organically as well as inorganically What We Offer Access to employee discounts on world class HARMAN/Samsung products (JBL, Harman Kardon, AKG etc.) Professional development opportunities through HARMAN University’s business and leadership academies. Flexible work schedule with a culture encouraging work life integration and collaboration in a global environment. An inclusive and diverse work environment that fosters and encourages professional and personal development. Tuition reimbursement. “Be Brilliant” employee recognition and rewards program. What Makes You Eligible Be willing to travel up to 25%, domestic and international travel if required. Successfully complete a background investigation as a condition of employment You Belong Here HARMAN is committed to making every employee feel welcomed, valued, and empowered. No matter what role you play, we encourage you to share your ideas, voice your distinct perspective, and bring your whole self with you – all within a support-minded culture that celebrates what makes each of us unique. We also recognize that learning is a lifelong pursuit and want you to flourish. We proudly offer added opportunities for training, development, and continuing education, further empowering you to live the career you want. About HARMAN: Where Innovation Unleashes Next-Level Technology Ever since the 1920s, we’ve been amplifying the sense of sound. Today, that legacy endures, with integrated technology platforms that make the world smarter, safer, and more connected. Across automotive, lifestyle, and digital transformation solutions, we create innovative technologies that turn ordinary moments into extraordinary experiences. Our renowned automotive and lifestyle solutions can be found everywhere, from the music we play in our cars and homes to venues that feature today’s most sought-after performers, while our digital transformation solutions serve humanity by addressing the world’s ever-evolving needs and demands. Marketing our award-winning portfolio under 16 iconic brands, such as JBL, Mark Levinson, and Revel, we set ourselves apart by exceeding the highest engineering and design standards for our customers, our partners and each other. If you’re ready to innovate and do work that makes a lasting impact, join our talent community today! Important Notice: Recruitment Scams Please be aware that HARMAN recruiters will always communicate with you from an '@harman.com' email address. We will never ask for payments, banking, credit card, personal financial information or access to your LinkedIn/email account during the screening, interview, or recruitment process. If you are asked for such information or receive communication from an email address not ending in '@harman.com' about a job with HARMAN, please cease communication immediately and report the incident to us through: harmancareers@harman.com. HARMAN is proud to be an Equal Opportunity / Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

Summary Provide analytics support to Novartis internal customers (Country & 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 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. Analyst - Alignment and Call Plan Responsible for delivering Call plans/Alignments to support the Field teams in reaching HCPs/Patients. About The Role Position Title: Analyst (Call Planning) Location – Hyd |India| Hybrid About The Role: Acts as a function level SME, works on multiple client engagements with collaborating with teams members to produce high quality results. Provide though leadership and innovation, lead initiatives of process excellence and possesses very strong analytical skills Your Responsibilities Include, But Are Not Limited To: Help develops new service offerings in close collaboration with functional and account management teams The responsibilities for this role include but not limited to deliver Call planning/ Refinements / Territory Alignments / Incentives independently with high quality, on time, error-free and in line with requirements. Able to communicate effectively and handle client calls independently. Should be able to contribute to ideas in team huddles for process improvements. Continuously improve processes by eliminating redundancies and inefficient process.- Should have proven ability to guide and Onboard new members quickly. Should be able to cross collaborate and identify bottle necks in newer processes or launches Build and deliver below customer requirements as per agreed SLAs (timeliness, accuracy, quality, etc) and drive excellent customer service Hands on to Customer segmentation & targeting, Field-force optimization, Territory alignment, Incentive compensation (Plan-Design-Admin), Territory sales performance reports, Activity (QTQ) performance reports, Others SFE support, Call plan management and Territory action plan report Deliver services through structured project management approach with appropriate documentation and communication throughout the delivery of services What You’ll Bring To The Role: Should be customer service oriented and strong and proactive business results-focus, and proven track record to provide insights that increase efficiency Support team leaders in recruitment and on-boarding of new associates within the organization. Leads capability building by actively prioritizing various knowledge sharing sessions that enables growth and improves quality of CSP Hyd deliverables across the function. Stay in sync with all internal functional operating procedures like time tracking, critical metric tracking and strong analytical thinking with problem solving approach. Able to deliver Call planning/ Refinements / Territory Alignments / Incentives independently with high quality, on time, error-free and in line with requirements. Communicate effectively and handle client calls independently. Should be able to contribute to ideas in team huddles for process improvements. Continuously improve processes by eliminating redundancies and inefficient process.Build and 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 captures qualitative and quantitative reports of brands, disease areas, macroeconomic trends of Novartis operating markets, etc. Reporting, and other internal systems and processes. Comply to all Novartis operating procedures as per legal / IT / HR requirements Desirable Requirements: University/Advanced degree is required, Master’s degree in fields such as business administration, finance, computer science or technical field is preferred Experience (2+ years) in |Hands-On | Snowflake (SQL), ETL, Data Model Design IC, Pharma Analytics in a market research firm or pharmaceutical company or Pharma KPO and should have an understanding of Pharmaceutical business including its regulatory environment. Hands on to Dataiku, JCPM, JAMS, Python, SQL, Excel, Powerpoint, Zaidyn (good to have). Experience on JTD is required in case of Alignment hiring. Should be keen on learning new tools and techniques and adapt to technological transformations 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. Accessibility and accommodation Novartis is committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the recruitment process, or in order to perform the essential functions of a position, please send an e-mail to diversityandincl.india@novartis.com and let us know the nature of your request and your contact information. Please include the job requisition number in your message 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 Responsibilities: The responsibilities for this role include but not limited to below Minimum Requirements: At least 2 years experience in similar role. Pharma background is preferred Good written and Oral communication skills Skills Required: Dataiku, JCPM, JAMS, Python, SQL, Excel, Powerpoint, Zaidyn (good to have) Experience on JTD is required in case of Alignment hiring Should be keen on learning new tools and techniques and adapt to technological transformations 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 Reference # 318227BR Job Type Full Time Your role Are you interested in pursuing a career in Data Science and AI with STAAT team in Global wealth management Americas? Building deployable machine learning models and embedding it in business workflow Defining AI research problems and criteria for evaluating success Contributing to product design, developing features to enhance the product based on Natural Language techniques Processing massive amounts of structured and unstructured data Researching new machine learning solutions for complex business problems and embedding the models within the business workflow Communicating findings Your team You’ll be working STAAT Data Science team in Mumbai Your expertise degree in Computer Science or related field strong understanding of probability, statistics, linear algebra and calculus 4+ years’ experience in developing and NLP Models Expert level proficiency in python 2+ years’ experience in building NLP models for Sentiment scoring, summarization, abstractions using deep learning, transfer learning techniques Experience in dealing with large-scale unstructured text data Experience in machine learning packages ML experience with different supervised and unsupervised learning algorithms knowledge of a variety of machine learning techniques such as classification, clustering, optimization, Random Forest, PCA, XgBoost, natural language processing, deep neural network, etc good understanding of mathematical underpinning and their realworld advantages/drawbacks hands on experience of using programming languages (Python, R, SQL, etc.) to manipulate data, develop models and derive insights hands on experience of database and analytical technologies in the industry, such as Greenplum, DB2, Dataiku, Hadoop, etc hands-on experience deploying analytical models to solve business problems ability to develop experimental and analytical plans for data modeling processes and A/B testing About Us UBS is the world’s largest and the only truly global wealth manager. We operate through four business divisions: Global Wealth Management, Personal & Corporate Banking, Asset Management and the Investment Bank. Our global reach and the breadth of our expertise set us apart from our competitors.. We have a presence in all major financial centers in more than 50 countries. How We Hire We may request you to complete one or more assessments during the application process. Learn more Join us At UBS, we know that it's our people, with their diverse skills, experiences and backgrounds, who drive our ongoing success. We’re dedicated to our craft and passionate about putting our people first, with new challenges, a supportive team, opportunities to grow and flexible working options when possible. Our inclusive culture brings out the best in our employees, wherever they are on their career journey. We also recognize that great work is never done alone. That’s why collaboration is at the heart of everything we do. Because together, we’re more than ourselves. We’re committed to disability inclusion and if you need reasonable accommodation/adjustments throughout our recruitment process, you can always contact us. Disclaimer / Policy Statements UBS is an Equal Opportunity Employer. We respect and seek to empower each individual and support the diverse cultures, perspectives, skills and experiences within our workforce. Show more Show less

Job Description Senior Specialist, Data and Analytics Architect THE OPPORTUNITY Based in Hyderabad, join a global healthcare biopharma company and be part of a 130-year legacy of success backed by ethical integrity, forward momentum, and an inspiring mission to achieve new milestones in global healthcare. Lead an Organization driven by digital technology and data-backed approaches that supports a diversified portfolio of prescription medicines, vaccines, and animal health products. Drive innovation and execution excellence. Be the leaders who have a passion for using data, analytics, and insights to drive decision-making, which will allow us to tackle some of the world's greatest health threats. Our Technology centers focus on creating a space where teams can come together to deliver business solutions that save and improve lives. AN integral part of the our company IT operating model, Tech centers are globally distributed locations where each IT division has employees to enable our digital transformation journey and drive business outcomes. These locations, in addition to the other sites, are essential to supporting our business and strategy. A focused group of leaders in each tech center helps to ensure we can manage and improve each location, from investing in growth, success, and well-being of our people, to making sure colleagues from each IT division feel a sense of belonging to managing critical emergencies. And together, we must leverage the strength of our team to collaborate globally to optimize connections and share best practices across the Tech Centers. Role Overview We are seeking a talented and motivated Technical Architect to join our Data and Analytics Strategy & Architecture team. Reporting to the Lead Architect, this mid-level Technical Architect role is critical in shaping the technical foundation of our cross-product architecture. The ideal candidate will focus on reference architecture, driving proofs of concept (POCs) and points of view (POVs), staying updated on industry trends, solving technical architecture issues, and enabling a robust data observability framework. The role will also emphasize enterprise data marketplaces and data catalogs to ensure data accessibility, governance, and usability. This position will also focus on creating a customer-centric development environment that is resilient and easily adoptable by various user personas. The outcome of the cross-product integration will be improved efficiency and productivity through accelerated provisioning times and a seamless user experience, eliminating the need for interacting with multiple platforms and teams. What Will You Do In The Role Collaborate with product line teams to design and implement cohesive architecture solutions that enable cross-product integration, spanning ingestion, governance, analytics, and visualization. Develop, maintain, and advocate for reusable reference architectures that align with organizational goals and industry standards. Lead technical POCs and POVs to evaluate new technologies, tools, and methodologies, providing actionable recommendations. Diagnose and resolve complex technical architecture issues, ensuring stability, scalability, and performance across platforms. Implement and maintain frameworks to monitor data quality, lineage, and reliability across data pipelines. Contribute to the design and implementation of an enterprise data marketplace to facilitate self-service data discovery, analytics, and consumption. Oversee and extend the use of Collibra or similar tools to enhance metadata management, data governance, and cataloging across the enterprise. Monitor emerging industry trends in data and analytics (e.g., AI/ML, data engineering, cloud platforms) and identify opportunities to incorporate them into our ecosystem. Work closely with data engineers, data scientists, and other architects to ensure alignment with the enterprise architecture strategy. Create and maintain technical documentation, including architecture diagrams, decision records, and POC/POV results. What Should You Have Strong experience with Databricks, Dataiku, Starburst and related data engineering/analytics platforms. Proficiency in AWS cloud platforms and AWS Data and Analytics technologies Knowledge of modern data architecture patterns like data Lakehouse, data mesh, or data fabric. Hands-on experience with Collibra or similar data catalog tools for metadata management and governance. Familiarity with data observability tools and frameworks to monitor data quality and reliability. Experience contributing to or implementing enterprise data marketplaces, including facilitating self-service data access and analytics. Exposure to designing and implementing scalable, distributed architectures. Proven experience in diagnosing and resolving technical issues in complex systems. Passion for exploring and implementing innovative tools and technologies in data and analytics. 3–5 years of total experience in data engineering, analytics, or architecture roles. Hands-on experience with developing ETL pipelines with DBT, Matillion and Airflow. Experience with data modeling, and data visualization tools (e.g., ThoughtSpot, Power BI). Strong communication and collaboration skills. Ability to work in a fast-paced, cross-functional environment. Focus on continuous learning and professional growth. Preferred Skills Certification in Databricks, Dataiku, or a major cloud platform. Experience with orchestration tools like Airflow or Prefect. Understanding of AI/ML workflows and platforms. Exposure to frameworks like Apache Spark or Kubernetes. Our technology teams operate as business partners, proposing ideas and innovative solutions that enable new organizational capabilities. We collaborate internationally to deliver services and solutions that help everyone be more productive and enable innovation Who We Are We are known as Merck & Co., Inc., Rahway, New Jersey, USA in the United States and Canada and MSD everywhere else. For more than a century, we have been inventing for life, bringing forward medicines and vaccines for many of the world's most challenging diseases. Today, our company continues to be at the forefront of research to deliver innovative health solutions and advance the prevention and treatment of diseases that threaten people and animals around the world. What We Look For Imagine getting up in the morning for a job as important as helping to save and improve lives around the world. Here, you have that opportunity. You can put your empathy, creativity, digital mastery, or scientific genius to work in collaboration with a diverse group of colleagues who pursue and bring hope to countless people who are battling some of the most challenging diseases of our time. Our team is constantly evolving, so if you are intellectually curious, join us—and start making your impact today. Current Employees apply HERE Current Contingent Workers apply HERE Search Firm Representatives Please Read Carefully Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails. Employee Status Regular Relocation VISA Sponsorship Travel Requirements Flexible Work Arrangements Hybrid Shift Valid Driving License Hazardous Material(s) Required Skills Business Enterprise Architecture (BEA), Business Process Modeling, Data Modeling, Emerging Technologies, Requirements Management, Solution Architecture, Stakeholder Relationship Management, Strategic Planning, System Designs Preferred Skills Job Posting End Date 07/18/2025 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 R345600 Show more Show less

Summary Position Summary DT-US Product Engineering - Data Scientist Manager We are seeking an exceptional Data Scientist who combines deep expertise in AI/ML with a strong focus on data quality and advanced analytics. This role requires a proven track record in developing production-grade machine learning solutions, implementing robust data quality frameworks, and leveraging cutting-edge analytical tools to drive business transformation through data-driven insights . Work you will do The Data Scientist will be responsible for developing and implementing end-to-end AI/ML solutions while ensuring data quality excellence across all stages of the data lifecycle. This role requires extensive experience in modern data science platforms, AI frameworks, and analytical tools, with a focus on scalable and production-ready implementations. Project Leadership and Management: Lead complex data science initiatives utilizing Databricks, Dataiku, and modern AI/ML frameworks for end-to-end solution development Establish and maintain data quality frameworks and metrics across all stages of model development Design and implement data validation pipelines and quality control mechanisms for both structured and unstructured data Strategic Development: Develop and deploy advanced machine learning models, including deep learning and generative AI solutions Design and implement automated data quality monitoring systems and anomaly detection frameworks Create and maintain MLOps pipelines for model deployment, monitoring, and maintenance Team Mentoring and Development: Lead and mentor a team of data scientists and analysts, fostering a culture of technical excellence and continuous learning Develop and implement training programs to enhance team capabilities in emerging technologies and methodologies Establish performance metrics and career development pathways for team members Drive knowledge sharing initiatives and best practices across the organization Provide technical guidance and code reviews to ensure high-quality deliverables Data Quality and Governance: Establish data quality standards and best practices for data collection, preprocessing, and feature engineering Implement data validation frameworks and quality checks throughout the ML pipeline Design and maintain data documentation systems and metadata management processes Lead initiatives for data quality improvement and standardization across projects Technical Implementation: Design, develop and deploy end-to-end AI/ML solutions using modern frameworks including TensorFlow, PyTorch, scikit-learn, XGBoost for machine learning, BERT and GPT for NLP, and OpenCV for computer vision applications Architect and implement robust data processing pipelines leveraging enterprise platforms like Databricks, Apache Spark, Pandas for data transformation, Dataiku and Apache Airflow for ETL/ELT processes, and DVC for data version control Establish and maintain production-grade MLOps practices including model deployment, monitoring, A/B testing, and continuous integration/deployment pipelines Technical Expertise Requirements: Must Have: Enterprise AI/ML Platforms: Demonstrate mastery of Databricks for large-scale processing, with proven ability to architect solutions at scale Programming & Analysis: Advanced Python (NumPy, Pandas, scikit-learn), SQL, PySpark with production-level expertise Machine Learning: Deep expertise in TensorFlow or PyTorch, and scikit-learn with proven implementation experience Big Data Technologies: Advanced knowledge of Apache Spark, Databricks, and distributed computing architectures Cloud Platforms: Strong experience with at least one major cloud platform (AWS/Azure/GCP) and their ML services (SageMaker/Azure ML/Vertex AI) Data Processing & Analytics: Extensive experience with enterprise-grade data processing tools and ETL pipelines MLOps & Infrastructure: Proven experience in model deployment, monitoring, and maintaining production ML systems Data Quality: Experience implementing comprehensive data quality frameworks and validation systems Version Control & Collaboration: Strong proficiency with Git, JIRA, and collaborative development practices Database Systems: Expert-level knowledge of both SQL and NoSQL databases for large-scale data management Visualization Tools: Tableau, Power BI, Plotly, Seaborn Large Language Models: Experience with GPT, BERT, LLaMA, and fine-tuning methodologies Good to Have: Additional Programming: R, Julia Additional Big Data: Hadoop, Hive, Apache Kafka Multi-Cloud: Experience across AWS, Azure, and GCP platforms Advanced Analytics: Dataiku, H2O.ai Additional MLOps: MLflow, Kubeflow, DVC (Data Version Control) Data Quality & Validation: Great Expectations, Deequ, Apache Griffin Business Intelligence: SAP HANA, SAP Business Objects, SAP BW Specialized Databases: Cassandra, MongoDB, Neo4j Container Orchestration: Kubernetes, Docker Additional Collaboration Tools: Confluence, BitBucket Education: Advanced degree in quantitative discipline (Statistics, Math, Computer Science, Engineering) or relevant experience. Qualifications: 10-13 years of experience with data mining, statistical modeling tools and underlying algorithms. 5+ years of experience with data analysis software for large scale analysis of structured and unstructured data. Proven track record of leading and delivering large-scale machine learning projects, including production model deployment, data quality framework implementation and experience with very large datasets to create data-driven insights thru predictive and prescriptive analytic models. E xtensive knowledge of supervised and unsupervised analytic modeling techniques such as linear and logistic regression, support vector machines, decision trees / random forests, Naïve-Bayesian, neural networks, association rules, text mining, and k-nearest neighbors among other clustering models. Extensive experience with deep learning frameworks, automated ML platforms, data processing tools (Databricks Delta Lake, Apache Spark), analytics platforms (Tableau, Power BI), and major cloud providers (AWS, Azure, GCP) Experience architecting and implementing enterprise-grade solutions using cloud-native ML services while ensuring cost optimization and performance efficiency Strong track record of team leadership, stakeholder management, and driving technical excellence across multiple concurrent projects Expert-level proficiency in Python, R, and SQL, with deep understanding of statistical analysis, hypothesis testing, feature engineering, model evaluation, and validation techniques in production environments Demonstrated leadership experience in implementing MLOps practices, including model monitoring, A/B testing frameworks, and maintaining production ML systems at scale. Working knowledge of supervised and unsupervised learning techniques, such as Regression/Generalized Linear Models, decision tree analysis, boosting and bagging, Principal Components Analysis, and clustering methods. Strong oral and written communication skills, including presentation skills The Team Information Technology Services (ITS) helps power Deloitte’s success. ITS drives Deloitte, which serves many of the world’s largest, most respected organizations. We develop and deploy cutting-edge internal and go-to-market solutions that help Deloitte operate effectively and lead in the market. Our reputation is built on a tradition of delivering with excellence. The ~3,000 professionals in ITS deliver services including: Security, risk & compliance Technology support Infrastructure Applications Relationship management Strategy Deployment PMO Financials Communications Product Engineering (PxE) Product Engineering (PxE) team is the internal software and applications development team responsible for delivering leading-edge technologies to Deloitte professionals. Their broad portfolio includes web and mobile productivity tools that empower our people to log expenses, enter timesheets, book travel and more, anywhere, anytime. PxE enables our client service professionals through a comprehensive suite of applications across the business lines. In addition to application delivery, PxE offers full-scale design services, a robust mobile portfolio, cutting-edge analytics, and innovative custom development. Work Location: Hyderabad Our purpose Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Professional development At Deloitte, professionals have the opportunity to work with some of the best and discover what works best for them. Here, we prioritize professional growth, offering diverse learning and networking opportunities to help accelerate careers and enhance leadership skills. Our state-of-the-art DU: The Leadership Center in India, located in Hyderabad, represents a tangible symbol of our commitment to the holistic growth and development of our people. Explore DU: The Leadership Center in India . Benefits To Help You Thrive At Deloitte, we know that great people make a great organization. Our comprehensive rewards program helps us deliver a distinctly Deloitte experience that helps that empowers our professionals to thrive mentally, physically, and financially—and live their purpose. To support our professionals and their loved ones, we offer a broad range of benefits. Eligibility requirements may be based on role, tenure, type of employment and/ or other criteria. Learn more about what working at Deloitte can mean for you. Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Requisition code: 303069 Show more Show less

Do you want to make a global impact on patient health? Do you thrive in a fast-paced environment that integrates scientific, clinical, and commercial domains through engineering, data science, and AI? 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 of engineering, data science, and AI professionals 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 is a key driver of Pfizer’s digital transformation, leading process and engineering innovations to advance AI and data science applications from prototypes and MVPs to full production. As a Sr. Associate, AI and Data Science Full Stack Engineer , you will join the Data Science Industrialization team. Your responsibilities will include implementing AI solutions at scale for Pfizer business. You will iteratively develop and continuously improve data science workflows, AI based software solutions and AI components. Role Responsibilities Contribute to the end-to-end build and deployment of data science and analytics products and AI modules Develop server-side logic using back-end technologies such as Python Contribute to the implementation of data ETL pipelines using Python and SQL Build web applications with JavaScript frameworks Build data visualizations and data applications to enable data exploration and insights generation Maintain infrastructure and tools for software development and deploying using IaC tools Automate processes for continuous integration, delivery, and deployment (CI/CD pipeline) to ensure smooth software delivery Implement logging and monitoring tools to gain insights into system behavior. Collaborate with data scientists, engineers, and colleagues from across Pfizer to integrate AI and data science models into production solutions Build data visualizations and data applications to enable data exploration and insights generation (e.g. Tableau, Power BI, Dash, Shiny, Streamlit, etc.). Stay up-to-date with emerging technologies and trends in your field. Basic Qualifications Bachelor's or Master's degree in Computer Science, or a related field (or equivalent experience). 2+ years of experience in software engineering, data science, or related technical fields. Experience in programming languages such as Python or R Familiarity with back-end technologies, databases (SQL and NoSQL), and RESTful APIs. Familiarity with data manipulation and preprocessing techniques, including data cleaning, data wrangling and feature engineering. Highly self-motivated, capable of delivering both independently and through strong team collaboration. Ability to creatively tackle new challenges and step outside your comfort zone. Strong English communication skills (written and verbal). Preferred Qualifications Advanced degree in Data Science, Computer Engineering, Computer Science, Information Systems or related discipline Experience in CI/CD integration (e.g. GitHub, GitHub Actions) and containers (e.g. docker) Understanding of statistical modeling, machine learning algorithms, and data mining techniques. Experience with data science enabling technology, such as Dataiku Data Science Studio, AWS SageMaker or other data science platforms Knowledge about BI backend concept like Star Schema and Snowflake Familiarity in building low code dashboard solution tools like Tableau, Power BI, Dash and Streamlit Experience developing dynamic and interactive web applications; familiar with React, AngularJS, Vue. Experience with Infrastructure as Code (IaC) tools such as Terraform, Ansible, or Cloudformation Familiarity with cloud-based analytics ecosystems (e.g., AWS, Snowflake). Hands on experience working in Agile teams, processes, and practices Ability to work non-traditional work hours interacting with global teams spanning across the different regions (eg: 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

Relocation Assistance Offered Within Country Job Number #167664 - Mumbai, Maharashtra, India Who We Are Colgate-Palmolive Company is a global consumer products company operating in over 200 countries specializing in Oral Care, Personal Care, Home Care, Skin Care, and Pet Nutrition. Our products are trusted in more households than any other brand in the world, making us a household name! Join Colgate-Palmolive, a caring, innovative growth company reimagining a healthier future for people, their pets, and our planet. Guided by our core values—Caring, Inclusive, and Courageous—we foster a culture that inspires our people to achieve common goals. Together, let's build a brighter, healthier future for all. Title: Assistant Manager, Global Data Science Brief introduction - Role Summary/Purpose: The Global Data Science team at Colgate-Palmolive builds and deploys analytics solutions to drive business growth, focusing on areas like Price Elasticity, Trade Promo Efficiency, and Marketing Effectiveness. To meet increasing demand, new geographically based "Advanced Analytics Pods" are being created, with this role leading the "Europe and Africa Eurasia Pod" and managing six data scientists. This position involves close collaboration with the capability center, Division Analytics and business teams to understand needs, prioritize projects, and deliver relevant analytics solutions. The role requires strong expertise in statistical data analytics, machine learning/AI, and CPG analytics to develop predictive models, manage large datasets, and translate insights into business impact. Responsibilities: Leads the scoping and delivery of Pricing, Promotion, and Marketing Effectiveness analytics, including conceptualizing and building predictive models, machine learning algorithms, and optimization solutions. Plays a key role in the governance and continuous improvement of internal analytics solutions, collaborating with other Advanced Analytics Pods. Translates complex analytical results and insights into easily understandable and actionable recommendations for business teams, effectively bridging the gap between business needs and data science. Develops and manages visualization deliverables and web applications to enable self-service analytics and diagnostics for various functions. Writes SQL and Python code to build and deploy scalable enterprise-level data science solutions (e.g., Marketing Mix Modeling, Revenue Growth Management) on cloud platforms using tools like Airflow, Docker, and Kubernetes. Leads, mentors, and coaches a team of data scientists, ensuring the quality of recommendations and solutions deployed globally, and drives new value by integrating internal and external data. Collaborates effectively with cross-functional teams (GIT, Data Architecture, Analytics Engineering) and business partners across geographies and time zones, assisting with change management and presenting insights to stakeholders. Required Qualifications: Educational Background & Experience: Requires a Bachelor's degree (Master's/MBA preferred) in a quantitative/technical field (Data Science, Engineering, Statistics, Economics, etc.) with 7+ years in data science and analytics, including 2+ years managing/setting up a data science team. Advanced Technical Expertise: Strong hands-on experience developing and deploying statistical models and machine learning algorithms (Regression, Random Forest, XGBOOST, Clustering, etc.) in production, with expert coding skills in Python, SQL, PySpark, and R. MLOps & Cloud Proficiency: Demonstrable experience with MLOps practices (GitHub, Airflow, Docker, Kubernetes, Databricks, Dataiku) and cloud platforms like Google Cloud and Snowflake, managing high-volume, varied data sources. Domain Specialization & Business Acumen: Expert knowledge in Marketing Mix Modeling, Revenue Growth Management, Optimization, Forecasting, and Marketing Analytics, preferably in CPG or consulting, with the ability to think strategically in complex business contexts. Client-Facing & Communication Skills: Proven experience in a client-facing role, supporting multi-functional teams, with exceptional communication, collaboration, presentation, and storytelling skills to convey insights to business stakeholders. Project Leadership & Execution: Ability to independently plan and execute deliveries, lead project teams for predictive modeling and ad-hoc data needs, and build processes for data transformation and management. Preferred Qualifications: Proficient in building web applications using frameworks like Pydash, Plotly, R Shiny, Streamlit, Django, Dash, Python Flask, React.js, or Angular JS. Experienced with advanced AI and machine learning concepts including Deep Learning, Reinforcement Learning, Image Recognition, GenAI, and understanding the real-world application of various ML techniques. Strong knowledge of cloud environments and MLOps tools, including Databricks, Docker, Azure Data Factory, machine learning APIs (Azure, AWS, Vertex AI), Snowflake, and Google Cloud components (Cloud Build, Cloud Run, Kubernetes). Familiar with data visualization tools (Domo, Looker, Streamlit), working with third-party data (syndicated market data, Point of Sales), and has experience in Data Science roles within the CPG industry, ideally in relevant geographies. Our Commitment to Inclusion Our journey begins with our people—developing strong talent with diverse backgrounds and perspectives to best serve our consumers around the world and fostering an inclusive environment where everyone feels a true sense of belonging. We are dedicated to ensuring that each individual can be their authentic self, is treated with respect, and is empowered by leadership to contribute meaningfully to our business. Equal Opportunity Employer Colgate is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity, sexual orientation, national origin, ethnicity, age, disability, marital status, veteran status (United States positions), or any other characteristic protected by law. Reasonable accommodation during the application process is available for persons with disabilities. Please complete this request form should you require accommodation. #LI-Remote

Requirements: A proven track record with 5+ years of experience in AI/ML platform management or a similar role Deep expertise in machine learning, data analytics, and cloud computing Extensive hands-on experience with platforms and tools such as Dataiku , Azure ML, Azure AI, Foundry, and related systems Strong knowledge of agile methodologies, DevOps practices, and CI/CD pipeline management Demonstrated ability to manage multiple priorities in a fast-paced and dynamic environment Proven leadership skills in guiding cross-functional teams and driving large-scale technology initiatives Experience with Agile methodologies is a plus More details kindly share cv to admin@spearheadps.com or WhatsApp at 9899080360

Are you passionate about building resilient, scalable, and secure cloud platforms? Join the Platform Engineering team at Xebia , where we are transforming enterprise data landscapes with cutting-edge cloud-native architectures and DevOps-driven delivery. This role is ideal for engineers who thrive at the intersection of Python, Azure, Big Data, and DevOps , and are ready to lead by design and automation. What You’ll Do: Design, build, and automate robust cloud platforms on Azure Enable data-driven architectures using Azure PaaS and Cloudera stack Ensure performance, security, and reliability across scalable systems Drive infrastructure automation and deployment with modern DevOps tooling Collaborate with cross-functional teams to deliver platform solutions at scale Your Tech Superpowers: We’re looking for engineers with hands-on expertise in: 🔹 Programming & Platform Services: Python Azure PaaS: Event Hub, ADF, Azure Functions, Databricks, Synapse, Cosmos DB, ADLS Gen2 🔹 Cloud & Big Data: Microsoft Azure Cloudera ecosystem 🔹 Data Tools & Visualizations: Dataiku, Power BI, Tableau 🔹 DevOps & Infrastructure as Code (IaC): CI/CD, GitOps, Terraform Docker & Kubernetes 🔹 Security & Networking: Inter-service communication & resilient Azure architecture Identity & Access Management (IAM) 🔹 Ways of Working: Agile mindset Clean code, automation-first, test-driven practices Why Join Xebia? Competitive compensation & world-class benefits Work with global clients on modern engineering challenges Upskill through structured learning, certifications & mentorship A culture built on trust, innovation & ownership Freedom to build, lead, and grow without limits Show more Show less