Top Data Science Jobs in India

The role involves leading product management for data science and AI initiatives, defining roadmaps, engaging stakeholders, and driving adoption of AI products across teams.

Manage accounting and budgeting functions, ensure timely completion of audits, coordinate tax assessments, and implement process improvements in collaboration with global stakeholders.

As Vice President of Controllers Data Transformation, you'll lead strategic initiatives, optimize processes, manage teams, and integrate technologies like LLM APIs to drive transformation within the Finance team.

Lead the design and delivery of complex ServiceNow solutions, focusing on integrating AI and optimizing enterprise processes, while mentoring teams and influencing stakeholders.

Leverage quantitative skills to derive analytical solutions for clients, manage data evaluation, and lead commercial analytics engagements focused on sales effectiveness.

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

Own technical delivery of data pipelines and semantic models for Power BI, ensuring performance and governance while working with stakeholders.

Manage a variety of data science projects, collaborating with teams to deliver complex solutions while ensuring alignment and clear communication of project status.

Data Science Managers lead teams to design, develop, and execute analytical techniques for complex data sets, drive client impact and develop new solutions, while also focusing on business development and mentoring staff.

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

Lead the development of advanced analytics solutions for media marketing optimization, drive strategic decisions, and mentor a team in data science and analytics.

The Senior Associate, Data Science & AI will deliver data-driven insights and AI-powered analytics tools, develop predictive models, support marketing analytics, and collaborate across teams to drive commercial decision-making in pharmaceuticals.

Lead the execution and interpretation of AI/ML models, design advanced analytics, and collaborate with teams to deliver insights for commercial decision-making.

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.

This role involves managing a team while actively engaging in data science tasks such as machine learning, text extraction, and pipeline integration.

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

As a Senior Databricks Engineer, you will design, build, and optimize a high-performance data infrastructure across Azure, AWS, and Databricks while developing data pipelines and managing CI/CD automation.

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.

As a Consultant in Talent Analytics, you will leverage data to drive workforce solutions, engage with clients, and develop analytics-based strategies. Responsibilities include building survey solutions, applying statistical methodologies, and supporting product development.

As an AI/ML Engineer, develop and implement systems that leverage AI tools and cloud services, focusing on production-ready quality and innovative applications like chatbots and image processing.

The Responsible AI Specialist consults on designing user-centered AI systems, conducts research on Responsible AI practices, and develops frameworks for implementation in enterprises. They ensure AI systems adhere to fairness, interpretability, and accountability principles.

The role involves consulting on Responsible AI to develop reliable, user-centered AI systems, conducting research, and implementing best practices with a focus on fairness and ethics in AI. The candidate will lead the Responsible AI team, engaging with clients and experts to advance responsible AI applications.

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.

The Senior Client Solutions Partner will drive sales of Data Science solutions to Enterprise clients, build business cases, architect solutions, mentor teams, and lead data strategy discussions.