Top Data Science Jobs in Chennai

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

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

Architect and implement scalable data processing and ML systems to model and predict satellite network behavior. Lead development of data pipelines, model serving, real-time inference, CI/CD, and cloud orchestration; mentor engineers, ensure code quality, stakeholder demos, and maintain technical documentation.

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

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.

As a Clinical Data Science Programmer, you will develop and validate programming code for clinical trials, ensuring data integrity and compliance with regulatory standards while collaborating with scientists and statisticians.

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.

Lead the design, development, and validation of data science programming solutions for clinical trials, ensuring data accuracy and quality.

Lead customer analysis projects, mentor analysts, apply data science methods, communicate insights, and manage day-to-day client interactions.

Lead client-facing data science engagements: integrate and prepare datasets, apply data science methods, develop analytics code, manage and mentor analysts, independently deliver projects, and communicate findings and recommendations to clients.

Lead design and delivery of advanced data infrastructure and AI-first monitoring for chargeback processes. Build models, drive RCA and operationalize data-driven decision frameworks, mentor data science teams, ensure governance and compliance, and collaborate with leadership to mitigate payment risks.

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

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 designing data science solutions, mentoring team members, deploying models, and ensuring high-quality code. It requires strong analytical skills and the ability to communicate technical requirements effectively.

The role involves leading tech project management for theft detection initiatives, collaborating with executives, and coordinating cross-functional teams to ensure project success.

Lead and manage the AI & Data Science function, set technical strategy, deliver AI solutions, collaborate across teams, and communicate impact to stakeholders.

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 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.