Top Data Science Jobs in Chennai

This role develops credit risk management solutions and business intelligence analytics by engaging with clients and performing statistical analysis. It requires both strong programming skills and project management abilities.

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

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.

The Account Manager in Data Science will develop data-driven solutions for clients, lead sales interactions, and maintain client relationships to ensure performance targets are met.

The Account Manager - Data Science role focuses on delivering data-driven solutions, leading client meetings, and building long-term relationships to exceed client objectives.

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

Lead the strategy and execution of advanced analytics products, fostering AI/ML innovation, guiding technical teams, and ensuring enterprise-wide adoption while managing multiple product teams.

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 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.

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 User Researcher will lead research projects from discovery to synthesis, using various methods to gain insights that improve products while collaborating with stakeholders.

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 role involves using scientific expertise to evaluate AI-driven life science tools, designing criteria for AI solutions, and ensuring alignment with scientific data and customer needs.

The Clinical Data Science Programmer will develop programming solutions to enhance clinical trial data analysis, ensuring data integrity and efficient processing.

As a Clinical Data Science Lead, you will manage data science projects in clinical trials, design strategies for data analysis, and mentor team members.

The Data Science Senior Analyst conducts strategic data analysis, drives optimization, leads system changes, and communicates complex data insights to business clients. Requires strong analytical skills and team leadership.

The role involves the proactive offer release of two AI engineers, focusing on data science and AI applications.

The Lead Clinical Data Science Programmer designs and develops clinical data solutions, ensuring efficient handling and analysis of trial data while collaborating with teams to drive insights for innovative therapies.

Develop and deploy NLP and GenAI applications/products, conduct ML experiments, and create APIs and UI for user interaction.

The role involves the proactive offer release for a Principal Solution Architect focusing on AI and Machine Learning.

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.

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

The Principal Engineer, Data Science role involves leading projects in predictive modeling, optimization, and data solutions deployment. Responsibilities include translating client use cases into technical designs, guiding project architecture, and collaborating with cross-functional teams.