Top Data Science Jobs in India

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.

As an Industry 4.0 Analyst, you will work with Data Scientists and Engineers to implement AI-based solutions for cost reduction and operational impact across multiple business functions.

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

The role oversees global drug development consulting, leading client engagements and teams while promoting scalable practices and business growth in the life sciences sector.

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

Lead the application of optimization techniques on large datasets, collaborate with engineering to deploy solutions, and manage project teams while contributing to data science capabilities and thought leadership.

Lead a team of Data Scientists and ML Engineers to develop AI-driven healthcare applications. Provide technical guidance, mentorship, and ensure high-quality delivery of scalable solutions.

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.

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 Proposal Leader drives strategy and governance for complex proposals, aligning solutions with client outcomes and improving win rates in ServiceNow consulting deals.

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 a Product Manager for AI Products, you will oversee the execution of AI features, collaborating with engineering teams to translate product direction into actionable tasks while maintaining stakeholder alignment and tracking project metrics.

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

As an AI/ML Engineer, you'll develop and integrate AI systems, manage deployment pipelines, and lead a team to deliver innovative AI solutions.

As an AI / ML Engineer, you will design and build advanced applications leveraging AI technologies and cloud AI services, ensuring scalable and production-ready solutions while collaborating with teams to optimize models and pipelines.

The AI/ML Engineer develops and manages AI applications and pipelines, ensuring they are production-ready and scalable, with a focus on generative AI models and deep learning.

As an AI / ML Engineer, develop scalable AI applications using cloud services and on-premises pipelines. Responsibilities include managing AI models, collaborating with teams, and enhancing AI functionalities.

The AI/ML Engineer develops AI-powered applications and systems, manages pipelines, integrates generative AI models, ensures production readiness, and collaborates with teams.

As an AI / ML Engineer, you will design and build applications using AI tools, manage application pipelines, integrate generative AI models, and ensure solutions are production-ready. Responsibilities include collaborating with stakeholders, optimizing AI models, and mentoring junior team members.

As an AI / ML Engineer, develop AI-driven applications and pipelines, integrate generative AI, manage cloud and on-prem solutions, and optimize performance while collaborating with cross-functional teams.

The AI / ML Engineer designs and develops applications leveraging AI technologies and cloud services, ensuring high-performance solutions and production-ready pipelines while collaborating with teams and mentoring junior members.