Top Data Science Jobs in Chennai

This position develops credit risk management and analytics solutions using big data and statistical methods, supporting clients in the financial services sector.

The Account Manager - Data Science develops data science solutions, leads sales meetings, builds client relationships, and communicates insights to exceed client performance targets.

The Account Manager delivers data science solutions tailored to client needs, leads sales meetings, fosters client relationships, and communicates insights.

Lead and manage customer analysis, mentor analysts, apply data science methods for insights, manage data science projects, and communicate findings.

Lead and manage customer analysis deep dives, execute strategies from senior leadership, manage client communication, and mentor analysts.

The Senior Manager, Advanced Analytics Translator leads analytics and performance initiatives, collaborates across functions, and develops analytic strategies to drive business value through data insights.

The Functional Architect leads solution design for life sciences clients, translating business needs into structured artifacts while ensuring alignment with technical implementation and driving Agile practices.

Lead onboarding and activation strategies, enhance user experiences, drive conversion rates, run data-driven experiments, and mentor PM teams.

The Senior Product Manager will drive AI-led innovation, define AI product strategy, ensure compliance with responsible AI principles, and collaborate across teams to deliver impactful AI features.

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 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.

Support the development of MMM and forecasting models, collaborate with data scientists, and ensure data quality for model inputs.

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 Data Science team in delivering marketing science models for client analytics, managing model development, and mentoring data scientists.

Lead the Data Science team to develop measurement models for analytics, manage projects, mentor team members, and ensure quality delivery.

Lead a team of ML engineers and data scientists, overseeing the design and deployment of machine learning models for life sciences applications while ensuring GxP compliance and technical governance.

Lead and mentor a team of data scientists, overseeing ML initiatives and driving business impact through effective data science practices.

The Senior Staff Engineer, Data Science role involves guiding team direction, solving complex challenges for clients, and leveraging technical expertise to innovate solutions.

The Principal Engineer, Data Science role involves leading data science projects and providing strategic insights using extensive IT experience.

Lead AI and data innovation by developing ML models, optimizing data systems, and mentoring junior team members in a collaborative team environment.

Lead design, development, and deployment of multi-agent, agentic AI solutions using LangGraph, LLM orchestration, RAG, and RL-based fine-tuning. Build scalable architectures, integrate vector databases and knowledge graphs, run PoCs to demonstrate business impact, and mentor AI engineers and data scientists for production-grade autonomous agents.

Lead research, design, and deployment of multi-agent, agentic AI systems using LangGraph and LLM orchestration. Build memory-augmented agents, implement RAG with vector DBs, apply RLHF/RLAIF, prototype PoCs, scale production architectures, and mentor AI engineers.

The Principal Data Science Engineer will leverage statistical analysis and machine learning to optimize airline revenue performance and customer experience, collaborating with teams to develop data models and algorithms, and support product development cycles.

The Senior Data/Machine Learning Analyst develops, tests, and operationalizes data science solutions, leveraging various data types and analytics methods to drive business innovation at Cardinal Health.