Top Data Science Jobs in India

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.

The AI/ML Engineer/Architect will lead prototyping and productization of AI/ML technologies, develop governance frameworks, and collaborate across functions to align with strategic goals.

Technical product manager supporting AI and agentic capabilities for Payment Performance Intelligence. Execute AI product strategy and roadmap, translate customer needs into technical requirements, coordinate with engineering and data science, support backlog refinement and releases, validate use cases through research and experimentation, and contribute to go-to-market and enablement activities.

Develop, deploy, and scale Generative AI solutions (RAG, agents, LangGraph) for telecom managed services. Integrate GenAI with BSS/OSS and telecom APIs, build automation and QA capabilities, and collaborate across global teams to deliver production-ready AI/ML systems.

Lead India product strategy for Adyen's payments suite, own go-to-market fit, navigate regulations, build and manage a product team, align engineering, data, and commercial teams to scale localized payment solutions.

Lead market-wide product strategy and analysis across APAC: identify opportunities, quantify value, develop proposals, manage program pipelines, and deliver data-driven recommendations with cross-functional stakeholders.

Lead product strategy and roadmap for acute care and population health analytics. Translate clinical workflows and CMS/payer requirements into scalable, AI-driven product features, work hands-on with SQL/EHR/claims data, collaborate with data science and engineering, and engage senior healthcare stakeholders to deliver regulatory-quality submission capabilities and drive cross-functional execution.

Drive regional technical vision and strategy for CrowdStrike in India: influence product roadmap, engage customers, partners, governments and media, identify new technologies and partnerships, and provide cross-functional strategic guidance to Product, Sales, CTOs and engineering teams.

Lead and manage a team of Machine Learning Engineers and Data Scientists to develop ML solutions that enhance user engagement and support business objectives in digital entertainment.

The Manager of Product Management will develop product vision and strategy, collaborate with cross-functional teams on AI/ML platform products, and maintain agile processes to enhance business and customer outcomes.

The Manager of Product Management for AI/ML Model Governance is responsible for defining product vision, collaborating with teams, managing backlogs, and ensuring customer-centric product development.

The Senior Engineer, CAD will innovate memory and storage solutions, focusing on AI systems, data science, and advanced technologies in semiconductor domains.

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

Data Science Managers at ZS lead teams to design analytic techniques on complex datasets, drive client impact, and develop data science strategies. They provide thought leadership, mentor team members, and manage multiple projects simultaneously.

Lead a team of machine learning engineers and data scientists to develop and deploy AI solutions in healthcare, optimizing workflows and model performance.

Design and implement production-ready AI/ML applications using cloud AI services and generative models. Perform data preprocessing, feature engineering, algorithm development and optimization, and collaborate with cross-functional teams to deliver scalable solutions such as deep learning, chatbots, and image-processing systems.

As a Data Engineer, you'll design, develop, and maintain data solutions, create data pipelines, ensure data quality, and implement ETL processes.

12-month entry-level apprenticeship in Structures at Airbus India (Bangalore). Work on electrical standard parts qualification and development, apply knowledge of electrical components and introductory data science/ML concepts, collaborate with cross-functional teams, communicate results, and commit to the full apprenticeship duration.

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 Engineering Manager will lead AI & ML initiatives focused on data collection, overseeing technical projects and developing a high-performing team. Responsibilities include providing technical direction, mentoring staff, ensuring system reliability, and maintaining data integrity and security. The role requires expertise in NLP and data processing with an emphasis on collaborative leadership and continuous innovation.

The role involves developing smart manufacturing applications, deploying data science strategies, providing technical consulting, and analyzing large datasets using machine learning.

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.