Top Data Science Jobs in India

Lead the experience vision and strategy for Expedia Group's protection and FinTech platform. Simplify complex coverage, pricing, eligibility, and claims flows; define service architecture, responsible AI personalization, design systems, and cross-brand UX patterns. Drive end-to-end UX from discovery through delivery, conduct mixed-methods research and experimentation, create high-fidelity prototypes and specifications, and partner with product, engineering, data, legal, and partners to deliver scalable, compliant, high-trust experiences.

Lead technical design, develop secure high-quality production code, drive AI-assisted engineering practices, automate remediation, evaluate vendor architectures, lead communities of practice, and coach teams on observability and responsible AI use.

Design and implement technical features, collaborate with clients, write production-ready code, ensure quality deliverables, mentor team members, and implement ML models on large scale.

Lead product strategy and roadmaps for data science, ML, and cloud products in healthcare. Translate business needs into technical requirements and user stories, drive Agile delivery, analyze user and market data to set metrics, design and deploy AI-powered solutions responsibly, mentor junior PMs, and ensure compliance with healthcare regulations throughout the product lifecycle.

Support end-to-end product lifecycle for healthcare-focused data science, cloud, and analytics products. Define product strategy and roadmap, act as Product Owner to prioritize backlog, translate business needs into technical requirements and user stories, collaborate with engineering and data science to deliver AI-enabled solutions, and support product launches, adoption, and performance measurement.

The role leads a team to provide healthcare-focused insights through analytics and data science, requiring strong people management, technical oversight, and a healthcare domain understanding.

Lead and own the Data Science and AI function, driving analytics strategy, stakeholder engagement, portfolio outcomes, team leadership, technical design, and compliance with data policies to deliver measurable business value.

Own a Business Onboarding Verification workstream end-to-end: define problems, set roadmap, translate ambiguous KYB issues into measurable product requirements, partner cross-functionally, launch with guardrails, and iterate to reduce manual review, operational cost, and customer friction while improving controls and auditability.

The Advanced Data Science Associate Consultant will develop algorithms, execute statistical techniques, collaborate with clients, and integrate engineering principles into data science workflows.

Lead and mentor a data science team, develop ML solutions, drive AI/ML initiatives, ensure model performance and fairness, and foster innovation.

Develop production-ready AI/ML applications using cloud AI services and generative models. Design and implement ML pipelines, work on deep learning, chatbots, and image processing, collaborate cross-functionally, lead and mentor team members, and improve processes for scalable deployment.

The Data Science Manager will lead AI/ML solution development for clients in Supply Chain & Manufacturing, mentor data scientists, and drive business development efforts.

Lead design and delivery of custom AI and data science applications for subsurface problems (stratigraphy, image libraries). Act as SME, manage and guide a team, collaborate with stakeholders, ensure milestones, and implement scalable machine learning and data visualization solutions.

Develop and deploy production-grade ML/AI solutions using Python and Azure ML. Build, monitor, retrain, and optimize models (regression, forecasting, classification), collaborate with DevOps/MLOps, and maintain production data science pipelines and environments.

Lead and grow a regional Data & AI technical solutions team in India to ensure resiliency and performance of customer production workloads across APJ and EMEA. Oversee support operations, resolve complex data engineering and ML/streaming incidents, optimize performance, stabilize workloads on new features, engage with customers and product teams, and develop team technical expertise.

The Senior Product Manager will drive product strategy and development, collaborating with cross-functional teams to enhance customer experience, focusing on AI and SaaS solutions.

Work on large-scale manufacturing datasets to build and deploy ML and statistical models. Extract and clean data from varied sources, apply feature engineering, and use tools like Python/R, Spark, Hadoop, and TensorFlow. Communicate results, automate analyses, and collaborate on industrial AI solutions; experience with time-series, images, semi-supervised learning, and MES is a plus.

Lead and execute Codingal's curriculum roadmap across Coding, Math, and ELA. Manage a curriculum team and external SMEs, ensure lesson and assessment quality, strengthen teacher training and evaluation, integrate AI into learning experiences, and collaborate with product, engineering, and business teams to improve student engagement and retention. Build scalable curriculum systems, feedback loops, and launch processes to drive measurable learning outcomes and operational consistency.

Lead end-to-end product lifecycle for healthcare-focused data science, cloud, and analytics products. Define strategy, prioritize backlog, translate business needs into technical requirements, collaborate with engineering and data science to design and deploy AI/ML solutions, support launches, and measure product performance.

Senior HR Data Analyst responsible for designing and maintaining HR dashboards, conducting statistical analyses, building HR data models, ensuring data governance, and delivering actionable workforce insights to HR leadership to optimize recruitment, retention, compensation, and talent management.

Senior strategic leader responsible for driving software engineering excellence and accelerating AI adoption across R&D. Define and execute Software & AI roadmaps, implement DevSecOps/CI/CD and SDLC best practices, oversee end-to-end AI/ML lifecycle, build high-performing teams, and lead digital transformation, compliance, and stakeholder alignment to deliver scalable, secure, regulated MedTech software solutions.

Lead enterprise data & AI architecture for strategic clients: support account planning, seed and execute opportunities, design multi-domain analytics solutions, run C-suite workshops, orchestrate technical architects, ensure data modeling, governance and cost-value optimization, and drive bookings KPI.

Design, build, and maintain Databricks-based data pipelines using PySpark and Delta Live Tables. Implement data models, optimize complex SQL and PySpark transformations, manage Unity Catalog for governance, support AI/ML downstream consumption, monitor and troubleshoot pipelines, contribute to CI/CD, and help power the semantic layer for Power BI dashboards.

Lead large-scale AI/ML-enabled HR technology transformations, bridging HR leadership and technical teams. Shape solution architecture, oversee Python-based ML model development and HRIS integrations, mentor multidisciplinary teams, manage delivery risk/governance, and support business development for scalable AI-driven HR solutions.

Lead and optimize end-to-end chargeback operations, driving strategic planning, process improvements, and SLA management. Oversee cross-functional teams, integrate data science into dispute workflows, ensure compliance and risk controls, deliver client-facing reporting, and maintain SOPs/SOWs to improve efficiency, quality, and revenue recovery.