Top Data Science Jobs in Chennai

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.

Lead design and delivery of end-to-end AI/ML and Generative AI solutions, architect scalable cloud-based platforms, integrate LLM/RAG/agentic systems, implement MLOps and governance, and mentor teams while driving AI strategy with stakeholders.

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.

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 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.

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 and manage clinical external data activities: author and track Data Transfer Specifications (DTS), ensure CDISC-compliant data structures, reconcile and harmonize external datasets, oversee vendor data delivery, support eCRF/EDC builds, train teams on DTS use, and contribute to process improvements and regulatory-compliant analytics for clinical trials.

Lead development and maintenance of Data Transfer Specifications, manage clinical external data delivery, ensure CDISC compliance, support data reconciliation, oversee vendor data management, train teams, review eCRF/EDC impacts, and ensure regulatory adherence for biomarker, imaging, and eCOA data.

Evaluate AI-generated technical content, craft and answer advanced ML/AI prompts, assess model responses for accuracy, relevance, and clarity, identify errors or hallucinations, and provide feedback to improve AI systems.

Lead data science strategies and insights for assigned clients. Manage multiple analytics engagements and a team, integrate and prepare datasets, apply data science methods to generate recommendations, communicate findings, and set team development objectives while staying current on industry trends.

Lead insights and analysis for assigned clients using data science methods. Manage multiple analytics engagements and the delivery team, prepare and integrate datasets, communicate findings and recommendations, stay current on industry trends, and set team development and training objectives.

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

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

Lead client-facing data science engagements: integrate and prepare datasets, apply data science methods, develop analytics code, manage project delivery, mentor analysts, and communicate insights to clients.

Lead client-facing data science engagements: integrate and prepare datasets, apply data science methods, develop analytics code, manage delivery, mentor analysts, and communicate insights to clients.

Lead client-focused data science engagements: integrate and prepare datasets, apply data science methods, manage project delivery, mentor analysts, develop analytics code, and communicate insights to clients.