Top Data Science Jobs in India

Drive innovation in e-commerce product management, collaborating across teams to define and execute product strategy, manage launches, and achieve business goals.

The Head of Generative AI and Innovation will drive the strategy and development of generative AI solutions, manage teams, implement solutions, and ensure ethical governance.

The role involves conducting AI research, teaching AI-related courses, collaborating on healthcare data modeling, and securing external funding, while mentoring students.

Conduct interdisciplinary AI research focused on healthcare, develop and teach related courses, collaborate on complex healthcare data analysis, and secure funding.

The Principal Data Scientist leads AI/ML strategy, ensuring high standards in modeling and experimentation, and fosters cross-functional collaboration for enterprise decision-making.

The Financial Services Leader will oversee the FS Consulting Practice, managing high-level strategy, client relationships, and operational delivery across several accounts while fostering innovation and cultural transformation.

The Engagement Manager will lead client workshops, drive analytics roadmaps, and liaise with clients to provide solutions in life sciences consulting.

The role requires applying data science principles to solve complex problems, contributing to the development and deployment of data science solutions, and provides insight based on data analysis.

The Senior Product Manager will lead the development of AI-driven insights for contact centers, manage product strategy, and collaborate with cross-functional teams.

The Data Scientist will analyze and model data for ML systems, focusing on Personalization and Recommendation Engines, and collaborate with teams to enhance data-driven solutions.

As an Associate Product Manager, you will manage product development cycles, collaborate with engineering and operational teams, evaluate partnerships, and prioritize projects to improve customer adoption.

The Engagement Manager will drive execution of business-analytics roadmaps, lead workshops, define business problems, and manage client relations. This role combines hands-on contributions with team and customer management.

The Senior Director of Product Management at Nielsen will lead the AI-based platform strategy and development for Instream Video Intelligence products, collaborating with cross-functional teams and engaging with customers to deliver impactful solutions in the entertainment industry.

The Senior Data Scientist will enhance the predictive modeling capabilities of Lyric's platform, focusing on machine learning and statistical methods for supply chain optimization.

The HR Business Partner oversees recruitment, talent management, payroll, and employee relations to align with business strategies and improve employee satisfaction.

Lead end-to-end product strategy, roadmap, and lifecycle for AI/automation/analytics platforms. Define value propositions, prioritize backlog, ensure Responsible AI governance, drive launches, measure adoption, mentor product managers, and collaborate with engineering, data science, UX, security, and operations to deliver enterprise-scale solutions.

The Product Owner is responsible for the product vision, roadmap, and stakeholder alignment in delivering enterprise data products. This includes managing backlogs, ensuring product adoption, establishing governance, and maintaining high-quality standards.

The Data Scientist applies data science principles to solve diverse problems, manages projects, and leads research with limited complexity. They analyze data to provide innovative solutions.

As a Data Engineer, you will analyze and enrich structured and unstructured data, enhance data quality, and develop insights for financial strategies.

Lead an AI engineering team to design, build, and deploy scalable ML/NLP solutions. Research and implement state-of-the-art modeling (zero/few-shot, embeddings, fine-tuning), ensure production-quality Python code, build reusable modeling pipelines, use containerization and CI, and manage stakeholders and shifting priorities to deliver high-quality AI products.

The Senior Manager, Data Science will lead hands-on analytics and algorithm development using wearable data. Responsibilities include building Python pipelines, developing models, performing statistical analysis, and collaborating with teams.

Lead Sigmoid's insurance consulting practice to define and deliver analytics and AI-led transformation across disability, life, supplemental benefits, and absence management. Drive strategy, account growth, cross-functional delivery, solution roadmaps, and thought leadership while partnering with senior client stakeholders to convert business challenges into data-driven solutions and measurable outcomes.

This role involves overseeing the product vision for IT & Cyber Risk, driving AI integration, collaborating on product delivery, and engaging with stakeholders to align product strategy with corporate goals.

Own and operate data streaming platforms centered on Confluent Kafka. Manage Confluent Cloud and self‑managed Kafka on Kubernetes, implement supporting components (Schema Registry, Kafka Connect, Flink), build IaC and CI/CD automation, set up monitoring and alerting, troubleshoot production incidents, perform capacity planning, and partner with application, security, and cloud teams to enable event‑driven architectures and developer self‑service.

Lead and grow the Shipping Analytics team to define metrics, drive experimentation, build AI-enabled analytics (including LLMs), deliver insights that influence product and business decisions, and scale analytics infrastructure and self-serve tooling.