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EY-GDS Consulting-AI and DATA-Gen AI-Senior At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Job Description: EY GDS–Data and Analytics (D&amp;A) – Senior – Senior Data Scientist Role Overview: We are seeking a highly skilled and experienced Senior Data Scientist with a minimum of 3 - 7 years of experience in Data Science and Machine Learning, preferably with experience in NLP, Generative AI, LLMs, MLOps, Optimization techniques, and AI solution Architecture. In this role, you will play a key role in the development and implementation of AI solutions, leveraging your technical expertise. The ideal candidate should have a deep understanding of AI technologies and experience in designing and implementing cutting-edge AI models and systems. Additionally, expertise in data engineering, DevOps, and MLOps practices will be valuable in this role. Responsibilities: Your technical responsibilities: <ul> <li> Contribute to the design and implementation of state-of-the-art AI solutions. </li> <li> Assist in the development and implementation of AI models and systems, leveraging techniques such as Language Models (LLMs) and generative AI. </li> <li> Collaborate with stakeholders to identify business opportunities and define AI project goals. </li> <li> Stay updated with the latest advancements in generative AI techniques, such as LLMs, and evaluate their potential applications in solving enterprise challenges. </li> <li> Utilize generative AI techniques, such as LLMs, to develop innovative solutions for enterprise industry use cases. </li> <li> Integrate with relevant APIs and libraries, such as Azure Open AI GPT models and Hugging Face Transformers, to leverage pre-trained models and enhance generative AI capabilities. </li> <li> Implement and optimize end-to-end pipelines for generative AI projects, ensuring seamless data processing and model deployment. </li> <li> Utilize vector databases, such as Redis, and NoSQL databases to efficiently handle large-scale generative AI datasets and outputs. </li> <li> Implement similarity search algorithms and techniques to enable efficient and accurate retrieval of relevant information from generative AI outputs. </li> <li> Collaborate with domain experts, stakeholders, and clients to understand specific business requirements and tailor generative AI solutions accordingly. </li> <li> Conduct research and evaluation of advanced AI techniques, including transfer learning, domain adaptation, and model compression, to enhance performance and efficiency. </li> <li> Establish evaluation metrics and methodologies to assess the quality, coherence, and relevance of generative AI outputs for enterprise industry use cases. </li> <li> Ensure compliance with data privacy, security, and ethical considerations in AI applications. </li> <li> Leverage data engineering skills to curate, clean, and preprocess large-scale datasets for generative AI applications. </li> </ul> Requirements: <ul> <li> Bachelor's or Master's degree in Computer Science, Engineering, or a related field. A Ph.D. is a plus. </li> <li> Minimum 3-7 years of experience in Data Science and Machine Learning. </li> <li> In-depth knowledge of machine learning, deep learning, and generative AI techniques. </li> <li> Proficiency in programming languages such as Python, R, and frameworks like TensorFlow or PyTorch. </li> <li> Strong understanding of NLP techniques and frameworks such as BERT, GPT, or Transformer models. </li> <li> Familiarity with computer vision techniques for image recognition, object detection, or image generation. </li> <li> Experience with cloud platforms such as Azure, AWS, or GCP and deploying AI solutions in a cloud environment. </li> <li> Expertise in data engineering, including data curation, cleaning, and preprocessing. </li> <li> Knowledge of trusted AI practices, ensuring fairness, transparency, and accountability in AI models and systems. </li> <li> Strong collaboration with software engineering and operations teams to ensure seamless integration and deployment of AI models. </li> <li> Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions. </li> <li> Strong communication and interpersonal skills, with the ability to collaborate effectively with stakeholders at various levels. </li> <li> Understanding of data privacy, security, and ethical considerations in AI applications. </li> <li> Track record of driving innovation and staying updated with the latest AI research and advancements. </li> </ul> Good to Have Skills: <ul> <li> Apply trusted AI practices to ensure fairness, transparency, and accountability in AI models and systems. </li> <li> Utilize optimization tools and techniques, including MIP (Mixed Integer Programming). </li> <li> Drive DevOps and MLOps practices, covering continuous integration, deployment, and monitoring of AI models. </li> <li> Implement CI/CD pipelines for streamlined model deployment and scaling processes. </li> <li> Utilize tools such as Docker, Kubernetes, and Git to build and manage AI pipelines. </li> <li> Apply infrastructure as code (IaC) principles, employing tools like Terraform or CloudFormation. </li> <li> Implement monitoring and logging tools to ensure AI model performance and reliability. </li> <li> Collaborate seamlessly with software engineering and operations teams for efficient AI model integration and deployment. </li> <li> Familiarity with DevOps and MLOps practices, including continuous integration, deployment, and monitoring of AI models. </li> </ul> EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

Ernst & Young LLP ( EY India )

Data Scientist

Data Science Manager, Product, Cloud<h4>Minimum qualifications:</h4><ul><li>Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.</li><li>10 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) (or 8 years of work experience with a Master's degree).</li><li>8 years of experience with data science and analytics in a technology or supply chain company.</li><li>Experience in data model and data insight transformation.</li></ul> <h4>Preferred qualifications:</h4><ul><li>Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. </li><li>12 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL). </li><li>4 years of experience as a people manager within a technical leadership role.</li><li>Ability to synthesize multiple data points, points of view and analyses into actionable and meaningful insights.</li><li>Interest and aptitude in data, metrics, analysis and trends and applied knowledge of measurement, statistics and program evaluation.</li></ul><h4>About the job</h4>Help serve Google's worldwide user base of more than a billion people. Data Scientists provide quantitative support, market understanding and a strategic perspective to our partners throughout the organization. As a data-loving member of the team, you serve as an analytics expert for your partners, using numbers to help them make better decisions. You will weave stories with meaningful insight from data. You'll make critical recommendations for your fellow Googlers in Engineering and Product Management. You relish tallying up the numbers one minute and communicating your findings to a team leader the next.The mission of Cloud Supply Chain Data (CSCD) Data Science and Product team is to build productivity and data products, develop AI/ML/statistical models and provide prescriptive insights to help CSCD define and achieve business goals. We help make Google Cloud supply chain and Data Centers by enabling data-informed decision making and product innovation.The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide. We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.<h4>Responsibilities</h4><ul><li>Manage Bengaluru Center of Excellence for Cloud Supply Chain and Operations, Data Science and Product team.</li><li>Lead a portfolio of programs in developing ML/Statistical models, conducting diagnostic analytics research, crafting prescriptive insights.</li><li>Guide problem framing, metrics development, data extraction and manipulation, visualization, and story telling for the team.</li><li>Provide thought leadership through proactive and strategic contributions (e.g., suggests new analyses, infrastructure or experiments to drive improvements in the business).</li><li>Oversee the integration of cross-functional and cross-organizational project/process timelines, develop process improvements and recommendations, and define operational goals and objectives.</li></ul><h4>Experience Level</h4>Senior Level

Google India Pvt Ltd

Business Data Analyst Mandatory Skills- Business Analysis, efficiency in SQL, Power BI, Python SQLExperience- 5-7 Years Share your updated resume now.

Coforge

Business Data Analyst

Lead Data ScientistLead Data Scientist<h4>Job Description</h4>You’re not the person who will settle for just any role. Neither are we. Because we’re out to create Better Care for a Better World, and that takes a certain kind of person and teams who care about making a difference. Here, you’ll bring your professional expertise, talent, and drive to building and managing our portfolio of iconic, ground-breaking brands. In this role, you’ll help us deliver better care for billions of people around the world. It starts with YOU. This role will be part of Kimberly Clark's International Family Care and Professional (IFP) business—an organization rooted in purpose and innovation that has built a legacy with global impact. As Kimberly-Clark forms a strategic partnership with Suzano to create a world-class international tissue and professional products company, this role is proposed to transfer to the new venture once the transaction closes, anticipated in mid-2026, subject to consultation and other applicable legal requirements. This is a rare opportunity to help shape a new global leader backed by two industry powerhouses. You’ll be part of a high-potential business that combines Kimberly-Clark’s iconic brands and commercial excellence with Suzano’s industrial and sustainability leadership. In this role, you will:Lead the design, development, and deployment of advanced analytics and AI solutions that drive business transformation across global markets. You will guide a team of data scientists and collaborate with cross-functional stakeholders to deliver high-impact models and AI products. Your work will span predictive modeling, Generative AI, intelligent agents, and scalable data science pipelines using Databricks, Azure Functions, and Python.<ul><li>Lead the end-to-end development of machine learning and AI solutions, from problem framing to deployment and monitoring.</li><li>Architect and implement scalable pipelines using Databricks, Azure ML, and Azure Functions.</li><li>Drive innovation in Generative AI and AI agent applications using frameworks like LangChain, Semantic Kernel, and Hugging Face Transformers.</li><li>Mentor and guide a team of data scientists, fostering a culture of experimentation, learning, and delivery excellence.</li><li>Partner with business leaders across RGM, Sales, IME, and Supply Chain to identify opportunities and translate them into data science solutions.</li><li>Ensure model governance, reproducibility, and compliance with responsible AI principles.</li><li>Contribute to the evolution of enterprise data science strategy and best practices.</li></ul> About UsHuggies®. Kleenex®. Cottonelle®. Scott®. Kotex®. Poise®. Depend®. Kimberly-Clark Professional®. You already know our legendary brands—and so does the rest of the world. In fact, millions of people use Kimberly-Clark products every day. We know these amazing Kimberly-Clark products wouldn’t exist without talented professionals, like you.At Kimberly-Clark, you’ll be part of the best team committed to driving innovation, growth and impact. We’re founded on more than 150 years of market leadership, and we’re always looking for new and better ways to perform – so there’s your open door of opportunity. It’s all here for you at Kimberly-Clark. Led by Purpose. Driven by YouAbout YouYou perform at the highest level possible, and you appreciate a performance culture fueled by authentic caring.  You want to be part of a company actively dedicated to sustainability, inclusion, wellbeing, and career development. You love what you do, especially when the work you do makes a difference. At Kimberly-Clark, we’re constantly exploring new ideas on how, when, and where we can best achieve results. When you join our team, you’ll experience Flex That Works: flexible work arrangements that empower you to have purposeful time in the office and partner with your leader to make flexibility work for both you and the business.In one of our technical roles, you’ll focus on winning with consumers and the market, while putting safety, mutual respect, and human dignity at the center. To succeed in this role, you will need the following qualifications: Key Qualifications and Experiences: <ul><li>Master’s or PhD in Data Science, Computer Science, Statistics, or related field.</li><li>7+ years of experience in data science roles, including 2+ years in a leadership or mentoring capacity.</li><li>Deep expertise in Python and its data science ecosystem (pandas, scikit-learn, PyTorch, etc.).</li><li>Proven experience with Databricks, Azure ML, and Azure Functions.</li><li>Strong background in machine learning, deep learning, and statistical modeling.</li><li>Experience building and deploying Generative AI models and AI agents.</li><li>Familiarity with Snowflake, SAP data structures, and enterprise data integration.</li><li>Excellent communication and stakeholder engagement skills.</li><li>Experience in the CPG, healthcare, or B2B/B2C domains.</li><li>Knowledge of MLOps, CI/CD for ML, and model monitoring frameworks.</li><li>Exposure to vector databases, RAG pipelines, and multi-agent orchestration tools (e.g., CrewAI, AutoGen).</li><li>Understanding of data privacy, ethics, and responsible AI frameworks.</li></ul> To Be Considered Click the Apply button and complete the online application process. A member of our recruiting team will review your application and follow up if you seem like a great fit for this role.In the meantime, please check out the <a href="https://www.careers.kimberly-clark.com/en/our-careers/career-areas" rel="noopener noreferrer" target="_blank">careers website</a>.And finally, the fine print….For Kimberly-Clark to grow and prosper, we must be an inclusive organization that applies the diverse experiences and passions of its team members to brands that make life better for people all around the world.  We actively seek to build a workforce that reflects the experiences of our consumers.  When you bring your original thinking to Kimberly-Clark, you fuel the continued success of our enterprise. We are a committed equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, sexual orientation, gender identity, age, pregnancy, genetic information, citizenship status, or any other characteristic protected by law. The statements above are intended to describe the general nature and level of work performed by employees assigned to this classification. Statements are not intended to be construed as an exhaustive list of all duties, responsibilities and skills required for this position. Employment is subject to verification of pre-screening tests, which may include drug screening, background check, and DMV check. #LI-Hybrid<h4>Primary Location</h4>IT Centre Bengaluru GDTC<h4>Additional Locations</h4><h4>Worker Type</h4>Employee<h4>Worker Sub-Type</h4>Regular<h4>Time Type</h4>Full time<h4>Experience Level</h4>Senior Level

Kimberly Clark Lever Pvt Ltd

Data Analyst Intern

Senior BI Consultant<h4>Job Description</h4>Job summarySupport the BI strategy for our European NIQ clients, enabling them to self-serve using our tools. Scope, build and deliver solutions that meet their basic recurrent data needs. Leverage NIQ and third parties solutions to meet your value delivered target  Key responsibilities · Assist NIQ clients in understanding and utilizing BI tools effectively · Develop and propose BI solutions tailored to clients' recurrent data needs · Deliver on performance tracking and success measurement · Consult directly with clients and stakeholders on how to optimize uses of BI tools, applications for automation, analytics and reporting · Identify leads from client interactions, be able to channel these needs into business opportunities · Own end-to-end processes of in-scope reporting solutions across a variety of data sources (RMS, CPS, Omni) · Collaborate with internal teams to ensure client requirements are met · Work closely with manager and team leaders to assist in day-to-day BI customer support needs, deployment activities and transformation initiatives · Aid in user education for platform-specific instruction to drive usage/adoption of Business Intelligence tools and supporting clients with our performance measurement services. · Share best demonstrated practices in an open, creative and inclusive team culture. · Collaborate with fellow BI and Insights teammates to identify business process improvements, project efficiencies and revenue opportunities. · Be active and engaged in continuous learning opportunities to upskill yourself, our team and advance our core areas of expertise.  Success Metrics · Complete relevant Academy program · All Discover / NIQ technical certifications · MSD Compliance · Deliver the yearly target value · Client contacts: At least twice a week · Lead generation: 6 per year  Team support and Project oversight <ul><li>Lead and support cross-functional initiatives to ensure timely execution and alignment with strategic goals </li></ul><ul><li>Facilitate communication between departments, ensuring smooth project workflows and stakeholder engagement </li></ul><ul><li>Monitor progress, identify risks, and implement corrective actions to maintain project quality and timelines </li></ul> <h4>Qualifications</h4>Qualifications: · 3-5 years of experience in client servicing in FMCG sector, especially in Business Intelligence · Excellent communication and interpersonal skills · Fluency in English · Proven experience in BI tools and data analysis such as Discover (NIQ) or PowerBI, Microstrategy · Previous experience working with: Microsoft Office (Word, Excel, PowerPoint) · Passion for learning and applying new technologies to business solutions. · Strong problem-solving skills and attention to detail · Ability to work independently and as part of a team · Demonstrated project management skills and ability to manage multiple priorities · Building and maintaining effective work relationships · Good collaboration skills to meet client needs and achieve organizational goals · Ability to work in a remote-based environment  <h4>Additional Information</h4>Our Benefits<ul><li>Flexible working environment</li><li>Volunteer time off</li><li>LinkedIn Learning</li><li>Employee-Assistance-Program (EAP)</li></ul>About NIQNIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population.For more information, visit NIQ.comWant to keep up with our latest updates?Follow us on: <a href="https://www.linkedin.com/company/nielseniq/mycompany/">LinkedIn</a> | <a href="https://www.instagram.com/nielseniq/">Instagram</a> | <a href="https://twitter.com/nielseniq">Twitter</a> | <a href="https://www.facebook.com/NielsenIQ.global/">Facebook</a>Our commitment to Diversity, Equity, and InclusionAt NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence.  All employment decisions at NIQ are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws. We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact. To learn more about our ongoing efforts in diversity and inclusion, please visit the <a href="https://nam02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fnielseniq.com%2Fglobal%2Fen%2Fnews-center%2Fdiversity-inclusion&amp;data=05%7C02%7CJenny.Rebecca%40nielseniq.com%7C6e534cbe3eb041842d5f08dc6dca121e%7C6ac7a1f45fb14153bb4f12d2020a1f7d%7C0%7C0%7C638505961881417602%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C0%7C%7C%7C&amp;sdata=B%2Fp40oNUpJOw1CNoc87EFXk%2BvxeO1jxYOSRCEKM%2Fz5Q%3D&amp;reserved=0">https://nielseniq.com/global/en/news-center/diversity-inclusion</a><h4>Experience Level</h4>Senior Level

NielsenIQ

BI Developer

Principal Data Scientist<h4>Career Category</h4>Information Systems<h4>Job Description</h4>ABOUT AMGENAmgen harnesses the best of biology and technology to fight the world’s toughest diseases, and make people’s lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what’s known today.ABOUT THE ROLERole Description:We are seeking a Principal AI Platform Architect—Amgen’s most senior individual-contributor authority on building and scaling end-to-end machine-learning and generative-AI platforms. Sitting at the intersection of engineering excellence and data-science enablement, you will design the core services, infrastructure and governance controls that allow hundreds of practitioners to prototype, deploy and monitor models—classical ML, deep learning and LLMs—securely and cost-effectively. Acting as a “player-coach,” you will establish platform strategy, define technical standards, and partner with DevOps, Security, Compliance and Product teams to deliver a frictionless, enterprise-grade AI developer experience.Roles &amp; Responsibilities:<ul><li>Define and evangelise the multi-year AI-platform vision, architecture blueprints and reference implementations that align with Amgen’s digital-transformation and cloud-modernization objectives.</li><li>Design and evolve foundational platform components—feature stores, model-registry, experiment-tracking, vector databases, real-time inference gateways and evaluation harnesses—using cloud-agnostic, micro-service principles.</li><li>Implement robust MLOps pipelines (CI/CD for models, automated testing, canary releases, rollback) and enforce reproducibility from data ingestion to model serving.</li><li>Embed responsible-AI and security-by-design controls—data-privacy, lineage tracking, bias monitoring, audit logging—through policy-as-code and automated guardrails.</li><li>Serve as the ultimate technical advisor to product squads: codify best practices, review architecture/PRs, troubleshoot performance bottlenecks and guide optimisation of cloud resources.</li><li>Partner with Procurement and Finance to develop TCO models, negotiate enterprise contracts for cloud/AI infrastructure, and continuously optimise spend.</li><li>Drive platform adoption via self-service tools, documentation, SDKs and internal workshops; measure success through developer NPS, time-to-deploy and model uptime SLAs.</li><li>Establish observability frameworks—metrics, distributed tracing, drift detection—to ensure models remain performant, reliable and compliant in production.</li><li>Track emerging technologies (serverless GPUs, AI accelerators, confidential compute, policy frameworks like EU AI Act) and proactively integrate innovations that keep Amgen at the forefront of enterprise AI.</li></ul>Must-Have Skills:<ul><li>5-7 years in AI/ML, data platforms or enterprise software, including 3+ years leading senior ICs or managers.</li><li>Proven track record selecting and integrating AI SaaS/PaaS offerings and building custom ML services at scale.</li><li>Expert knowledge of GenAI tooling: vector databases, RAG pipelines, prompt-engineering DSLs and agent frameworks (e.g., LangChain, Semantic Kernel).</li><li>Proficiency in Python and Java; containerisation (Docker/K8s); cloud (AWS, Azure or GCP) and modern DevOps/MLOps (GitHub Actions, Bedrock/SageMaker Pipelines).</li><li>Strong business-case skills—able to model TCO vs. NPV and present trade-offs to executives.</li><li>Exceptional stakeholder management; can translate complex technical concepts into concise, outcome-oriented narratives.</li></ul>Good-to-Have Skills:<ul><li>Experience in Biotechnology or pharma industry is a big plus</li><li>Published thought-leadership or conference talks on enterprise GenAI adoption.</li><li>Master’s degree in Computer Science, Data Science or MBA with AI focus.</li><li>Familiarity with Agile methodologies and Scaled Agile Framework (SAFe) for project delivery.</li></ul>Education and Professional Certifications<ul><li>Master’s degree with 10-14 + years of experience in Computer Science, IT or related field </li></ul>OR<ul><li>Bachelor’s degree with 12-17 + years of experience in Computer Science, IT or related field </li><li>Certifications on GenAI/ML platforms (AWS AI, Azure AI Engineer, Google Cloud ML, etc.) are a plus.</li></ul>Soft Skills:<ul><li>Excellent analytical and troubleshooting skills.</li><li>Strong verbal and written communication skills</li><li>Ability to work effectively with global, virtual teams</li><li>High degree of initiative and self-motivation.</li><li>Ability to manage multiple priorities successfully.</li><li>Team-oriented, with a focus on achieving team goals.</li><li>Ability to learn quickly, be organized and detail oriented.</li><li>Strong presentation and public speaking skills.</li></ul>EQUAL OPPORTUNITY STATEMENTAmgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation..<h4>Experience Level</h4>Senior Level

Amgen Technology Private Limited

Senior Data Scientist - Value & Access<h4>Career Category</h4>Value and Access<h4>Job Description</h4>ABOUT AMGEN Amgen harnesses the best of biology and technology to fight the world’s toughest diseases, and make people’s lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what’s known today. ABOUT THE ROLE Role Description: As the Data Scientist at Amgen, you will be responsible for developing and deploying advanced machine learning, operational research, semantic analysis, and statistical methods to uncover structure in large data sets. This role involves creating analytics solutions to address customer needs and opportunities. Roles &amp; Responsibilities:  <ul><li>Accountable to drive full lifecycle of Data Science projects delivery and ability to guide data scientists in shaping the developing the solution and act as a subject matter expert in solving development and commercial questions</li><li>Assume the role of business owner and manage the Proprietary AI engine built to optimize Copay</li><li>Support Amgen Gross to Net and other V&amp;A Transformation initiatives</li><li>Ensure models are trained with the latest data and meet the SLA expectations </li><li>Manage AI tool’s road map, working with a global cross functional team  </li><li>Work in technical teams in development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics.</li><li>Utilize technical skills such as hypothesis testing, machine learning and retrieval processes to apply statistical and data mining techniques to identify trends, create figures, and analyze other relevant information.</li><li>Perform exploratory and targeted data analyses using descriptive statistics and other methods.</li><li>Model/analytics experiment and development pipeline leveraging MLOps.</li><li>Oversee efforts of 1-3 associates, including setting performance standards, managing their staffing, and monitoring performance</li><li>Collaborate with technical teams to translate the business needs into technical specifications, particularly focusing on AI-driven automation and insights.</li><li>Develop and integrate custom applications, intelligent dashboards, and automated workflows that incorporate AI capabilities to enhance decision-making and efficiency.</li></ul>Functional Skills: Must-Have Skills (Not more than 3 to 4): <ul><li>Foundational understanding of US pharmaceutical ecosystem and Patient support services offerings (Copay) and other standard data sets including claims, prescription </li><li>Experience with one or more analytic software tools or languages like R and Python</li><li>Strong foundation in machine learning algorithms and techniques</li><li>Experience in statistical techniques and hypothesis testing, experience with regression analysis, clustering and classification</li></ul>Good-to-Have Skills: <ul><li>Experience in MLOps practices and tools (e.g., MLflow, Kubeflow, Airflow); Experience in DevOps tools (e.g., Docker, Kubernetes, CI/CD) </li><li>Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn) </li><li>Outstanding analytical and problem-solving skills; Ability to learn quickly; Excellent communication and interpersonal skills </li><li>Experience with data engineering and pipeline development </li><li>Knowledge of NLP techniques for text analysis and sentiment analysis </li><li>Experience in analyzing time-series data for forecasting and trend analysis </li><li>Experience with AWS, Azure, or Google Cloud </li><li>Experience with Databricks platform for data analytics and MLOps </li></ul>Professional Certifications (please mention if the certification is preferred or mandatory for the role): <ul><li>Any AWS Developer certification (preferred) </li><li>Any Python and ML certification (preferred) </li></ul>Soft Skills: <ul><li>Initiative to explore alternate technology and approaches to solving problems. </li><li>Skilled in breaking down problems, documenting problem statements, and estimating efforts. </li><li>Excellent analytical and troubleshooting skills. </li><li>Strong verbal and written communication skills </li><li>Ability to work effectively with global, virtual teams </li><li>High degree of initiative and self-motivation. </li><li>Ability to manage multiple priorities successfully.  </li><li>Team-oriented, with a focus on achieving team goals </li></ul>Basic Qualifications: <ul><li>Master’s degree in computer science, statistics or STEM majors with a minimum of 5 years of Information Systems experience OR  </li><li>Bachelor’s degree in computer science, statistics or STEM majors with a minimum of 7 years of Information Systems experience. </li></ul>EQUAL OPPORTUNITY STATEMENT Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation. .<h4>Experience Level</h4>Senior Level

Senior Director – Data Science and ML Engineering/ OperationsAt Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We’re looking for people who are determined to make life better for people around the world.About Eli Lilly &amp; CompanyAt Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our 49,000 employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease. We are looking for people who are determined to make life better for people around the world.Position SummaryThe Senior Director – Data Science and ML Engineering/ Operations will lead a multidisciplinary team responsible for delivering advanced analytics, machine learning, and AI solutions to support business objectives. This role requires technical expertise, cross-functional leadership, and a deep understanding of how the data science function interacts with other business areas to achieve organizational goals. This individual will be an active participant of the global Business Insights and Analytics functional lead team, helping realize the team’s mission of delivering insights and intelligence in order for the enterprise to improve patient outcomes and optimize commercial performance globally. This individual will also serve as a collaborator on the Lilly Bangalore Commercialization lead team, supporting site wide culture, productivity, and innovation initiatives and elevating One India talent and contributions.This role will report to the Vice President – Lilly Bangalore Commercialization Capabilities.Key ResponsibilitiesFunctional Leadership<ul><li>Take accountability for the performance and results of the Bangalore BI&amp;A data science and ML engineering/operations teams.</li><li>Evaluate and resolve complex business, operational, and technical challenges related to data science and ML engineering/operations.</li><li>Identify opportunities for process improvement and innovation, removing barriers to success.</li><li>Ensure the team’s work aligns with business area objectives and integrates effectively with other functions.</li><li>Oversee the implementation of policies, procedures, and best practices, driving adoption of tools/capabilities, to improve operational effectiveness.</li><li>Foster cross-functional collaboration with stakeholders across BI&amp;A, Tech@Lilly, and commercial services.</li></ul>People Leadership<ul><li>Provide technical leadership, direction, and coaching for data science and ML engineering/operations leaders (both administrative as well as technical leaders).</li><li>Conduct performance reviews, manage talent development, and build a pipeline of future leaders.</li><li>Ensure effective resource allocation and capacity planning to meet operational and strategic goals.</li><li>Partner across BI&amp;A Bangalore functions to balance headcount requirements across all BI&amp;A strategic priorities.</li><li>Enable technical progression for senior individual contributors through resourcing decisions and project scope design.</li></ul>Strategic Planning<ul><li>Actively contribute to the global Data Science and ML Engineering/Operations priorities and roadmap, balancing technical excellence with business needs.</li><li>Influence adoption of data science and ML engineering/operations solutions.</li><li>Advocate for the assignment of data science and machine learning exploration and innovation initiatives to Bangalore team members.</li><li>Mediate resource constraints across Data Science and ML Engineering/Operations teams, driving holistic resource decisions that enable the highest value work to be done.</li><li>Deliver on productivity agenda across the team, driving top-down adoption of new tools and capabilities.</li></ul>Minimum Qualifications<ul><li>Advanced degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Engineering).</li><li>16+ years of relevant experience in data science, machine learning, and AI, including enterprise-scale solution deployment.</li><li>Proven experience leading teams and subordinate managers in a complex, cross-functional environment.</li><li>Demonstrated ability to influence across business areas and drive adoption of advanced analytics and ML solutions.</li><li>Strong understanding of cloud platforms (e.g., AWS), DevOps, analytics platforms, and Agile development methodologies.</li><li>Experience with Responsible AI frameworks and ethical AI standards.</li></ul>Preferred Qualifications<ul><li>Experience in the pharmaceutical or life sciences domain.</li><li>Passion for leveraging AI/ML to solve business problems and drive innovation.</li></ul>Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form (<a href="https://careers.lilly.com/us/en/workplace-accommodation" rel="noopener noreferrer" target="_blank">https://careers.lilly.com/us/en/workplace-accommodation</a>) for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response.Lilly does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability or any other legally protected status.#WeAreLilly<h4>Experience Level</h4>Senior Level

Eli Lilly and Company India Pvt Ltd

Senior Associate, Analytics DeveloperUse Your Power for PurposeThe Global Commercial Analytics (GCA) team within the organization is dedicated to transforming data into actionable intelligence, enabling the business to remain competitive and innovative in a data-driven world. As Senior Associate, Analytics Developer, you will play a pivotal, hands-on role creating the data solutions that fuel our most advanced AI and analytics applications. By collaborating closely with subject matter experts and data scientists, you will develop the robust data models, pipelines, and feature stores required to power everything from statistical analysis to complex AI and machine learning models. Your primary mission is to build the data foundation for high-impact projects such as ROI analysis, Field Force sizing, On demand analytics, Data Strategy. You will be central to delivering new, innovative capabilities by enabling the deployment of cutting-edge AI and machine learning algorithms, directly helping the business solve its most challenging problems and create value. This is a dynamic, fast-paced, and highly collaborative role, covering a broad range of strategic topics critical to the pharma business. What You Will Achieve<ul><li>Advanced Layer Development: Leads the development of core data components for our advanced analytics layer and agentic data layers, enabling next-generation analytics and AI tools. </li><li>Data Strategy Execution: Works closely with cross-functional teams to help execute the enterprise Data Strategy, translating roadmaps into technical designs and building solutions using standard technology stacks. </li><li>Building AI &amp; RAG Pipelines: Designs and builds end-to-end data pipelines and products specifically to power advanced AI and Retrieval-Augmented Generation (RAG) applications for the Commercial Pharma domain. </li><li>Enabling Advanced Analytics: Builds the clean, reliable data foundation that enables the use of statistical analysis, machine learning, and AI models like RAG to uncover patterns and insights. </li><li>Business Impact: Delivers the high-quality, performant data that forms the basis of meaningful recommendations and drives concrete strategic decisions for brand and commercial strategy. </li><li>Innovation: Stays abreast of analytical trends and cutting-edge applications of data science and AI, including RAG and agentic systems, actively applying new techniques and tools to improve data pipelines. </li><li>Quality &amp; Governance: Implements and adheres to best practices in data management, model validation, and ethical AI, maintaining high standards of quality and compliance in all developed solutions. </li></ul>Here Is What You Need (Minimum Requirements)<ul><li>Bachelor’s, Master’s in Computer Science, Statistics, Data Science, Engineering, or a related quantitative field. </li><li>3-5 years of experience in Data or Analytics Engineering. </li><li>Strong Python Skills: Proven ability to write clean, performant, and maintainable Python for data engineering, with proficiency in libraries like Polars, Pandas and Numpy. </li><li>Modern Data Stack &amp; Systems: Extensive hands-on experience with large-scale distributed systems, including dbt, Airflow, Spark, and Snowflake. </li><li>Data Modeling &amp; Databases: A strong background in building and managing complex data models and warehouses, with experience across both SQL and NoSQL databases. </li><li>Data Quality &amp; Observability: Experience implementing and managing frameworks for data quality testing, observability, and alerting. </li><li>Modern Software Development: Solid experience with modern software development workflows, including Git, CI/CD, and Docker, to automate analytics processes. </li></ul>Bonus Points If You Have (Preferred Requirements)<ul><li>Pharma Analytics: Experience with pharmaceutical data and a track record of delivering business impact in the commercial pharma sector.</li><li>Data Engineering Best Practices: Experience with performance tuning, cost optimization, and managing large-scale data infrastructure.</li><li>Dashboard Development: Experience building dashboards using tools like Tableau, Power BI, or Streamlit.</li><li>Business Communication: The ability to explain data limitations and how they affect business questions to non-technical audiences.</li></ul>   Work Location Assignment: HybridPfizer is an equal opportunity employer and complies with all applicable equal employment opportunity legislation in each jurisdiction in which it operates.Marketing and Market Research<h4>Experience Level</h4>Senior Level

Pfizer Ltd

Sr Data AnalystGlobal Sales Strategy &amp; Operations (GSSO) is the team that helps shape Gartner's mission-critical sales priorities and works with sales leaders to drive tactical and analytical insights. As an associate on the GSSO team, you'll be at the forefront of the ongoing transformation of Gartner's sales force, which delivers approximately $4.9B in annual revenue and working to drive sustained double-digit growth. You will partner with business leaders across Gartner to support a global sales force comprised of more than 5,000 associates who sell to every major function, industry and market sector around the worldAbout the role:Gartner makes data-driven decisions to sustain double-digit growth and exceptional seller productivity. The Sr. Data Analyst of Global GSSO is responsible for developing and creating the framework to find, structure, and analyze that data to make those decisions. This work is foundational to how we operate. This is an excellent opportunity to be on a high-impact team, where you can truly develop your skill set and knowledge and bring impact to the business.What you’ll do: <ul><li>Consult with key Gartner business leaders and cross-functional stakeholders across Sales and many different GSSO functions</li><li>Create reporting dashboards that will be leveraged by various business and operations teams for deriving key insights and analyzing metrics.</li><li>Deliver comprehensive analytics (reports, analytics, and presentations) to diagnose issues, identify risks, and lead conversations to inform and shape decision-making</li><li>Solve problems with structured/unstructured quantitative data and derive key insights that are top priorities for improving Sales performance</li></ul>What you’ll need: <ul><li>4+ years of experience, ideally with focus on Business Analytics and/or Sales Operations</li><li>Strong Experience creating visualization dashboards using tools like Power BI to represent key business metrics.</li><li>Working knowledge of SQL/relational databases (e.g., Oracle, MySQL)</li><li>Experience in all aspects of data analytics including mining, scrubbing, and transforming.</li><li>Exceptional analytical skills with strong Microsoft Excel skills including working experience of creating VBA/Macros to be used for the purpose of Data analysis &amp; reporting. Familiarity with statistics and statistical tools.</li><li>Demonstrated ability to translate quantitative analysis into actionable recommendations.</li><li>Ability to work with business stakeholders to understand key requirements and break them down into data problems.</li><li>Experience in presenting insights to senior leaders and communicating using PowerPoint.</li><li>Strong written and verbal communication and collaboration skills.</li><li>Quantitative and qualitative problem-solving experience, including turning quantitative analysis into actionable recommendations and business strategies</li><li>Demonstrated ability to form relationships and have strong communication skills</li></ul>What you’ll get : <ul><li>Competitive salary, generous paid time off policy, charity match program, Group Medical Insurance, Parental Leave, Employee Assistance Program (EAP) and more!</li><li>Collaborative, team-oriented culture that embraces diversity</li><li>Professional development and unlimited growth opportunities</li></ul>#GSSO #LI-AS14Who are we? At Gartner, Inc. (NYSE:IT), we guide the leaders who shape the world. Our mission relies on expert analysis and bold ideas to deliver actionable, objective business and technology insights, helping enterprise leaders and their teams succeed with their mission-critical priorities. Since our founding in 1979, we’ve grown to 21,000 associates globally who support ~14,000 client enterprises in ~90 countries and territories. We do important, interesting and substantive work that matters. That’s why we hire associates with the intellectual curiosity, energy and drive to want to make a difference. The bar is unapologetically high. So is the impact you can have here. What makes Gartner a great place to work? Our vast, virtually untapped market potential offers limitless opportunities – opportunities that may not even exist right now – for you to grow professionally and flourish personally. How far you go is driven by your passion and performance. We hire remarkable people who collaborate and win as a team. Together, our singular, unifying goal is to deliver results for our clients. Our teams are inclusive and composed of individuals from different geographies, cultures, religions, ethnicities, races, genders, sexual orientations, abilities and generations. We invest in great leaders who bring out the best in you and the company, enabling us to multiply our impact and results. This is why, year after year, we are recognized worldwide as a great place to work. What do we offer? Gartner offers world-class benefits, highly competitive compensation and disproportionate rewards for top performers. In our hybrid work environment, we provide the flexibility and support for you to thrive — working virtually when it's productive to do so and getting together with colleagues in a vibrant community that is purposeful, engaging and inspiring. Ready to grow your career with Gartner? Join us. The policy of Gartner is to provide equal employment opportunities to all applicants and employees without regard to race, color, creed, religion, sex, sexual orientation, gender identity, marital status, citizenship status, age, national origin, ancestry, disability, veteran status, or any other legally protected status and to seek to advance the principles of equal employment opportunity.Gartner is committed to being an Equal Opportunity Employer and offers opportunities to all job seekers, including job seekers with disabilities. If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access the Company’s career webpage as a result of your disability. You may request reasonable accommodations by calling Human Resources at +1 (203) 964-0096 or by sending an email to <a href="mailto:ApplicantAccommodations@gartner.com?subject=Request%20for%20Applicant%20Accommodations" rel="noopener noreferrer" target="_blank">ApplicantAccommodations@gartner.com</a>.Job Requisition ID:104082By submitting your information and application, you confirm that you have read and agree to the country or regional recruitment notice linked below applicable to your place of residence.Gartner Applicant Privacy Link: <a href="https://jobs.gartner.com/applicant-privacy-policy" rel="noopener noreferrer" target="_blank">https://jobs.gartner.com/applicant-privacy-policy</a> For efficient navigation through the application, please only use the back button within the application, not the back arrow within your browser.<h4>Experience Level</h4>Senior Level

Gartner India Research & Advisory Services Private Limited

Data Analyst

Sr Data ScientistAbout the role:This is a unique opportunity to join our fast-growing Global Product Management Data Science team. You will be working with the team managing ‘The Client Experience Digital Platform’ which is the go-to place for all clients to interact with Gartner to get value. Our clients are IT and business leaders around the world. They expect to get help from Gartner on their most critical priorities. The Digital Platform is embedded in their workflows to help them on every step of their journey. Our mission is to deliver tremendous client value by building scalable, intelligent digital products and solutions. We are constantly looking for product management, UX and data science leaders to help us accelerate innovation to disrupt the marketplace and disrupt ourselves.What you will do: <ul><li>Work on Data science projects in close collaboration with the Data Engineering team, Application development team, Product owners and business leaders to deliver high value business capabilities</li><li>Solve ‘Search’ value stream problems and help improve Gartner’s client experience in finding the most meaningful and valuable insights</li><li>Build user query understanding and intent refinement models to refine query to content similarity</li><li>Build and incorporate LLMs in addition to vector search capabilities</li><li>Be responsible for high quality data science solutions with respect to accuracy and coverage.</li><li>Be accountable for solutions’ scalability, stability, and business adoption</li><li>Responsible for maintaining proper documentation and further code-reusability principles</li><li>Responsible for ownership of algorithms and its enhancements/optimizations as per business requirement</li><li>Collaborate with Director, Data Science in long term vision, strategy, and solution roadmap to align with bigger business objectives and mission critical priorities of the organization</li><li>Responsible to pitch ideas, present solutions and influence senior leaders with strong business value propositions</li><li>Stay on top of fast-moving AI/ML models and technologies. Understand and follow disruptive data science solutions</li><li>Collaborate with engineering and product teams to launch MVPs and iterate quickly</li><li>Independently plan and drive data science projects that deliver clear business value</li></ul>What you will need:<ul><li>6-8 years hands-on experience building predictive models, search systems, or other machine learning/artificial intelligence applications to drive business impact</li><li>Bachelor’s degree required while a master’s degree in a quantitative field (math, computer science, engineering, etc.) is strongly preferred</li><li>Demonstrated ability to translate quantitative analysis into actionable business strategies.</li><li>Strong communication skills in technical and business domains</li><li>Working experience in some of the following data science areas:<ul><li>Machine Learning and Predictive modeling</li><li>Text mining and Natural Language Processing</li><li>Search or Recommendation systems</li><li>Data analytics with multi-dimensional data</li><li>Generative models</li></ul></li><li>Strong working knowledge of Lean product principles, software development lifecycle, and machine learning life cycle</li><li>Practical, intuitive problem solver with a demonstrated ability to translate business objectives into actionable data science tasks and translate quantitative analysis into actionable business strategies</li><li>Ability to implement latest ML research to improve our current algorithms</li><li>Experience and proficiency with Python, machine learning tools (e.g., scikit-learn, spacy, nltk), deep learning (e.g., pytorch, tensorflow), statistical packages (e.g., Scipy), SQL/relational databases (e.g., Oracle) and NoSQL databases (e.g., MongoDB, graph database), distributed machine learning (spark), Linux and shell scripting</li><li>Experience with cloud computing services such as AWS or Azure ML</li><li>Ability to work collaboratively across product, data science and technical stakeholders</li><li>Ability to work in a culture that thrives on feedback and seeks opportunities to stretch outside comfort zone</li><li>Bias for action and client outcome oriented </li></ul>#LI-CD3Who are we? At Gartner, Inc. (NYSE:IT), we guide the leaders who shape the world. Our mission relies on expert analysis and bold ideas to deliver actionable, objective business and technology insights, helping enterprise leaders and their teams succeed with their mission-critical priorities. Since our founding in 1979, we’ve grown to 21,000 associates globally who support ~14,000 client enterprises in ~90 countries and territories. We do important, interesting and substantive work that matters. That’s why we hire associates with the intellectual curiosity, energy and drive to want to make a difference. The bar is unapologetically high. So is the impact you can have here. What makes Gartner a great place to work? Our vast, virtually untapped market potential offers limitless opportunities – opportunities that may not even exist right now – for you to grow professionally and flourish personally. How far you go is driven by your passion and performance. We hire remarkable people who collaborate and win as a team. Together, our singular, unifying goal is to deliver results for our clients. Our teams are inclusive and composed of individuals from different geographies, cultures, religions, ethnicities, races, genders, sexual orientations, abilities and generations. We invest in great leaders who bring out the best in you and the company, enabling us to multiply our impact and results. This is why, year after year, we are recognized worldwide as a great place to work. What do we offer? Gartner offers world-class benefits, highly competitive compensation and disproportionate rewards for top performers. In our hybrid work environment, we provide the flexibility and support for you to thrive — working virtually when it's productive to do so and getting together with colleagues in a vibrant community that is purposeful, engaging and inspiring. Ready to grow your career with Gartner? Join us. The policy of Gartner is to provide equal employment opportunities to all applicants and employees without regard to race, color, creed, religion, sex, sexual orientation, gender identity, marital status, citizenship status, age, national origin, ancestry, disability, veteran status, or any other legally protected status and to seek to advance the principles of equal employment opportunity.Gartner is committed to being an Equal Opportunity Employer and offers opportunities to all job seekers, including job seekers with disabilities. If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access the Company’s career webpage as a result of your disability. You may request reasonable accommodations by calling Human Resources at +1 (203) 964-0096 or by sending an email to <a href="mailto:ApplicantAccommodations@gartner.com?subject=Request%20for%20Applicant%20Accommodations" rel="noopener noreferrer" target="_blank">ApplicantAccommodations@gartner.com</a>.Job Requisition ID:100434By submitting your information and application, you confirm that you have read and agree to the country or regional recruitment notice linked below applicable to your place of residence.Gartner Applicant Privacy Link: <a href="https://jobs.gartner.com/applicant-privacy-policy" rel="noopener noreferrer" target="_blank">https://jobs.gartner.com/applicant-privacy-policy</a> For efficient navigation through the application, please only use the back button within the application, not the back arrow within your browser.<h4>Experience Level</h4>Senior Level

Senior BI Analyst, India Job Family Group:Information Technology (IT) Worker Type:Regular Posting Start Date:November 3, 2025 Business unit:Finance Experience Level: Experienced Professionals Job Description: What’s the role The ideal candidate is passionate about delivering commercial value and insights through Mobility data analytics. This role is for Loyalty team CRM teamWe help the business team’s answer some of the following questions:<ul><li>Creating integrated measurement framework for Loyalty CRM Program</li><li>Deliver various levels of profiling analysis/Diagnostic Analysis to identify quick wins like leaky bucket analysis, Category deep dive analysis etc., to accelerate Active Customers, arrest churn etc.,</li><li>How to acquire more Loyalty customers and increase the ROI of Loyalty CRM business</li></ul><ul><li>Candidate should be able to ask the right questions, ability to move from data to insight to action, break down strategic &amp; operational questions from different stakeholders and structurally answer them with data driven insights.</li><li>Incumbent is responsible for working on a range of technologies and tools collaborating directly with the multiple stakeholders &amp; other Data engineering team.</li></ul>What you’ll be doing <ul><li>Provide deep expertise in Data Analytics for Mobility/CPG businesses and business consulting:<ul><li>Understanding Mobility KPIs, benchmarking analysis, evaluating impact of business initiatives on profits, A/B testing, Hypothesis testing, pre-post campaign analysis</li><li>Developing tools and approaches to monitor the performance of Loyalty CRM customers.</li><li>Ability to convert business problem to analytical problem along with Strategic thinking and business story telling.</li></ul></li></ul><ul><li>Apart from the above also support the Mobility Loyalty CRM teams in:<ul><li>Identifying the right group of customers for targeting certain Promotions by identifying trends and patterns in Loyalty customers</li></ul></li><li>Should have strong story telling skills: Ability to explain complex data and models to business teams.</li><li>Should have strong data presentation and data interpretation skills.</li><li>Working collaboratively across multiple sets of stakeholders – business SMEs, IT, Data teams, Analytics resources to deliver on project deliverables and tasks.</li><li>Identify actionable insights that directly address Mobility Team’s challenges / opportunities.</li><li>Articulate business insights and recommendations to respective stakeholders.</li><li>Understanding business KPI's, frameworks and drivers for performance.</li></ul>What you bring<ul><li>At least 5-7 years of relevant experience in Retail Analytics</li></ul><ul><li>Bachelor’s Degree in Economics, Statistics or any related</li><li>Very Strong experience in specialized analytics tools and technologies (including, but not limited to:<ul><li>SQL, MS-Excel</li><li>Power BI, or other visualization tools, Power Automation</li><li>Python, Alteryx (good to have)</li></ul></li><li>Preferred experience in Customer, Loyalty &amp; CRM analytics, CPG or E-commerce</li><li>Experienced in Statistical analysis: Data Quality Analysis, Exploratory data analysis, Hypothesis testing, Univariate / Multivariate Analysis.</li><li>Good interpersonal communication skills and influencing skills.</li><li>Eagerness to learn and ability to work with limited supervision.</li><li>Identify the right approach(es) for given scenario and articulate why the approach fits.</li></ul>Please note:After you submit your application, you will receive an email providing a link to an online assessment that is a mandatory part of the process. The email will come from HireVue - please check your spam/junk mailbox if you do not see the email. Once completed, your application will be reviewed to determine next steps. Thank you for your interest in Shell. What we offerYou bring your skills and experience to Shell and in return you work with talented, committed people on one of the most important challenges facing our planet. You’ll have the opportunity to develop the skills you need to grow in an environment where we value honesty, integrity, and respect for one another. You’ll be able to balance your priorities as you become the best version of yourself.<ul><li>Progress as a person as we work on the energy transition together.</li><li>Continuously grow the transferable skills you need to get ahead.</li><li>Work at the forefront of technology, trends, and practices.</li><li>Collaborate with experienced colleagues with unique expertise.</li><li>Achieve your balance in a values-led culture that encourages you to be the best version of yourself.</li><li>Join an organisation working to become one of the most diverse and inclusive in the world. We strongly encourage applicants of all genders, ages, ethnicities, cultures, abilities, sexual orientation, and life experiences to apply.</li><li>Grow as you progress through diverse career opportunities in national and</li><li>international teams.</li><li>Gain access to a wide range of training and development programmes.</li></ul>An Inclusive &amp; Progressive Place to Work <ul><li>To power progress together, we need to attract and develop the brightest minds and make sure every voice is heard. Here are just some of the ways we’re nurturing an inclusive environment – one where you can express your ideas, extend your skills, and reach your potential.</li><li>We’re creating a space where people with disabilities can excel through transparent recruitment process, workplace adjustments and ongoing support in their roles. Feel free to let us know about your circumstances when you apply, and we’ll take it from there.</li><li>We’re closing the gender gap – whether that’s through action on equal pay or by enabling more women to reach senior roles in engineering and technology.</li><li>We’re striving to be a pioneer of an inclusive and diverse workplace, promoting equality for employees regardless of sexual orientation or gender identity.</li></ul>Shell in India Shell is a diversified energy company in India with 13,000 employees, and presence in Integrated Gas, Downstream, Power, Renewable and Upstream. Additionally, we have deep capabilities in R&amp;D, digitalisation, and business operations.Our global strategy, Powering Progress, is designed to generate value for our shareholders, customers, and the wider society, and focuses on creating more value with less emissions. The strategy supports our purpose of providing more and cleaner energy solutions, with the aim of profitably transforming Shell into a net-zero emissions energy business by 2050. As India moves towards its target of net-zero emissions by 2070, Shell India aims to play a leading role in securing vital energy for today, while investing in, and helping to build, the energy system of the future through strategic investments in the country.Our Lubricants business serves over 50,000 consumers through a strong network of over 200 distributors, and operates an end-to-end value chain that spans conceptualization, development, and production at a world-class blending plant at Taloja. Through our 350-plus retail stations, we offer an integrated mobility experience including fuels, cafes, and convenience stores, with a prominent network of EV recharging facilities.Shell owns and operates a LNG re-gasification terminal at Hazira, Surat, with a capacity of 5 MTPA and a LNG truck-loading unit that plays a crucial role in helping meet India’s growing demand for gas across sectors. In 2022, Shell acquired Sprng Energy in a $1.55 billion deal to build an integrated energy transition business in the country. Sprng is a leading renewable energy company in India which develops and manages solar, wind, and hybrid power generation facilities and infrastructure.Our three capability centres across Bangalore and Chennai serve as a technology and innovation powerhouse for Shell globally, working as a delivery engine for core technical, digital, and finance processes: pioneering digital innovation and cutting-edge technologies across the energy sector. We also have strong academic partnerships and collaborations with leading universities and technology institutes to accelerate decarbonization efforts within the energy sector.We are committed to positively contributing to the communities in which we operate through programmes on STEM Education, Skilling, and Livelihood across India. We nurture and invest in startups developing initiatives focused on accelerating energy innovation through programs such as Shell E4 and Shell Eco-marathon. We also have strategic investments in new energy companies such as Husk Power, d.light, Orb Energy, and Cleantech Solar.- DISCLAIMER:Please note: We occasionally amend or withdraw Shell jobs and reserve the right to do so at any time, including prior to the advertised closing date. Before applying, you are advised to read our data protection policy. This policy describes the processing that may be associated with your personal data and informs you that your personal data may be transferred to Shell/Shell Group companies around the world. The Shell Group and its approved recruitment consultants will never ask you for a fee to process or consider your application for a career with Shell. Anyone who demands such a fee is not an authorised Shell representative and you are strongly advised to refuse any such demand. Shell is an Equal Opportunity Employer.<h4>Experience Level</h4>Senior Level

Shell India Markets Pvt Ltd

Business Intelligence Analyst

Lead Data Scientist-Operations ResearchAbout Us:As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers.Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values different voices and lifts each other up. Here, we believe your unique perspective is important, and you'll build relationships by being authentic and respectful.Overview about TIIAt Target, we have a timeless purpose and a proven strategy. And that hasn’t happened by accident. Some of the best minds from different backgrounds come together at Target to redefine retail in an inclusive learning environment that values people and delivers world-class outcomes. That winning formula is especially apparent in Bengaluru, where Target in India operates as a fully integrated part of Target’s global team and has more than 4,000 team members supporting the company’s global strategy and operations.Pyramid overviewA role with Target Data Science &amp; Engineering means the chance to help develop and manage state of the art predictive algorithms that use data at scale to automate and optimize decisions at scale. Whether you join our Statistics, Optimization or Machine Learning teams, you’ll be challenged to harness Target’s impressive data breadth to build the algorithms that power solutions our partners in Marketing, Supply Chain Optimization, Network Security and Personalization rely on.About You<ul><li>Bachelor’s/Master’s/PhD in Mathematics, Statistics, Operations Research, Industrial Engineering, Computer Science, or a related quantitative field.</li><li>6+ years of direct, hands-on experience building optimization models (e.g., linear, mixed-integer, network flow, or combinatorial).</li><li>Strong proficiency in Python and Spark for developing and deploying optimization-based solutions.</li><li>Solid understanding of operations research techniques and their application in real-world business problems.</li><li>Experience building large scale optimization models/ ability to build models with smart heuristic solutions</li><li>Demonstrated experience working on end-to-end solution delivery, preferably with production-grade implementation.</li><li>Strong verbal and written communication skills: able to translate technical detail into business insight, and vice versa.</li><li>Strong analytical thinking, data transformation, and problem-solving ability, especially under ambiguity.</li><li>Team player with the ability to collaborate effectively across cross-functional, geographically distributed teams.</li></ul>Preferred Experience:<ul><li>Familiarity with supply chain data and business processes.</li><li>Experience working with large datasets.</li><li>Experience deploying solutions at scale for business impact.</li><li>Background in clean code practices, version control (Git), and collaborative development environments.</li></ul>Know More About Us here:<ul><li>Life at Target- <a href="https://india.target.com/" rel="noopener noreferrer" target="_blank">https://india.target.com/</a></li><li>Benefits- <a href="https://india.target.com/life-at-target/workplace/benefits" rel="noopener noreferrer" target="_blank">https://india.target.com/life-at-target/workplace/benefits</a></li><li>Culture- <a href="https://india.target.com/life-at-target/belonging" rel="noopener noreferrer" target="_blank">https://india.target.com/life-at-target/belonging</a></li></ul><h4>Experience Level</h4>Senior Level

Target Corporation India Pvt Ltd

Big Data Consultant, Data & AnalyticsAWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector Are you a Data Analytics specialist? Do you have Data Warehousing, Hadoop/Data Lake experience? Do you like to solve the most complex and high scale (billions + records) data challenges in the world today? Do you like to work on-site in a variety of business environments, leading teams through high impact projects that use the newest data analytic technologies? Would you like a career path that enables you to progress with the rapid adoption of cloud computing? At AWS ProServe India LLP, we’re hiring highly technical cloud computing architects to collaborate with our internal customers and partners on key engagements. Our consultants will develop, deliver and implement AI, IOT, and data analytics projects that help our internal customers leverage their data to develop business insights. These professional services engagements will focus on solutions such as Machine Learning, IoT, batch/real-time data processing, Data and Business intelligence. You will be required to travel to client locations and deliver professional services when needed. .Expertise - Collaborate with AWS field BD, pre-BD, training and support teams to help partners and internal customers learn and use AWS services such as Athena, Glue, Lambda, S3, DynamoDB NoSQL, Relational Database Service (RDS), Amazon EMR and Amazon Redshift. · Solutions - Deliver on-site technical engagements with partners and internal customers. This includes participating in pre-BD on-site visits, understanding requirements, creating packaged Data &amp; Analytics service offerings. · Delivery - Engagements include short on-site projects proving the use of AWS services to support new distributed computing solutions that often span private cloud and public cloud services. Engagements will include migration of existing applications and development of new applications using AWS cloud services. · Insights - Work with AWS engineering and support teams in India to convey partner and internal customer needs and feedback as input to technology roadmaps. Share real world implementations and recommend new capabilities that would simplify adoption and drive greater value from use of AWS cloud services. · Innovate - Engaging with the internal customer’s business and technology stakeholders to create a compelling vision of a data-driven enterprise in their environment This role is open for Mumbai/Pune/Bangalore/Chennai/Hyderabad/Delhi/Pune. About the team Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship &amp; Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.<h4>Basic Qualifications</h4> - Knowledge of the primary aws services (ec2, elb, rds, route53 &amp; s3) - Knowledge of AWS services including compute, storage, networking, security, databases, machine learning, and serverless technologies - Experience designing, planning, and delivering content solutions that meet the needs of technical business customers - Experience relying on analytics and data to cultivate deep customer empathy, shape product decisions and track effectiveness of change <h4>Preferred Qualifications</h4>- 5+ years of IT implementation experience - Experience and technical expertise (design and implementation) in cloud computing technologies - Experience leading the design, development and deployment of business software at scale or recent hands-on technology infrastructure, network, compute, storage, and virtualization experience - Bachelor's degree in business administration, finance, economics, computer science, data science, engineering, or other related field Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit <a href="https://amazon.jobs/content/en/how-we-hire/accommodations">https://amazon.jobs/content/en/how-we-hire/accommodations</a> for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.<h4>Experience Level</h4>Senior Level

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