Top Data Science Jobs in India

The Principal Product Manager will define the product vision and strategy for JSM's analytics, prioritize features, engage with customers, and lead cross-functional teams to deliver impactful analytics solutions.

As a Data Scientist Lead in Fraud Analytics, you'll develop fraud detection strategies and collaborate with teams to enhance efficiency and compliance, ensuring effective fraud management.

As an AI Architect, you will drive customer outcomes through hands-on delivery of ServiceNow's GenAI capabilities, provide technical advice to customers, and lead GenAI enablement programs.

As a Senior Engineer for Large Language Models, you will create GenAI applications, develop RAG-based pipelines, and optimize prompt engineering.

Develop advanced algorithms, utilize machine learning and statistical techniques, and collaborate with clients while assessing new datasets and technologies.

Lead data science projects from ideation to deployment, provide strategic advice on AI, mentor junior data scientists, and evaluate AI tools.

Lead the end-to-end data science pipeline, develop AI/ML models, collaborate with engineering teams, and engage business users to translate complex problems into solutions.

The US IT Recruiter will source and evaluate IT candidates, coordinate interviews, negotiate employment terms, and maintain client relationships while utilizing ATS.

As a Data Science Associate Consultant, you'll design analytics solutions, implement AI models, collaborate on machine learning projects, and develop algorithms for complex data sets.

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

The Data Scientist will work with a multi-disciplined team, creating machine learning models, improving products, and delivering data-driven solutions in a financial context.

As a Senior MLOps Engineer, you will collaborate with data science and engineering teams to manage ML pipelines, monitor models, and deploy solutions in the cloud.

Lead a cross-functional program for AI/ML product development, manage dependencies, prioritize backlog, and ensure smooth program delivery while acting as the liaison among teams.

The role involves managing cybersecurity infrastructure, reviewing security for AI/ML pipelines, identifying threats, and collaborating with data science teams to implement secure AI practices.

The role involves enhancing and maintaining cybersecurity infrastructure, conducting security reviews of AI/ML pipelines, and collaborating with data science teams to implement secure practices.

Lead and execute high-impact analytics solutions using optimization techniques on large datasets, manage project teams, and communicate findings with clients.

The Senior Data Analyst will analyze marketing campaigns, develop insights, collaborate across teams, and create reporting tools to drive business decisions.

The Engagement Manager leads client workshops, addresses business problems through data science, and drives execution of business analytics while managing stakeholders and developing consulting capabilities.

Lead a team of engineers in developing financial services, collaborating with stakeholders to build effective systems, and fostering a culture of innovation and excellence.

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.

Lead the development of tokenization technologies, mentoring teams and ensuring architectural standards across Visa’s technology organization while contributing to AI initiatives.

Lead urgent customer incidents to resolution, provide high-quality updates to stakeholders, and advocate for customers while managing escalations and outages.

As an Advanced Data Science Associate, you'll develop advanced algorithms, apply statistical techniques, and collaborate with clients to communicate analysis findings.

The Data Science Manager will lead a team, develop strategies, manage projects, and drive client impact using advanced analytics and data science techniques to solve complex business problems.

Lead the Life Science R&D team in developing data-driven AI/ML solutions. Oversee project execution, enhance data science capabilities, and communicate insights effectively.