Top Data Science Jobs in Chennai

Interns will participate in various technology areas, learning coding, testing, and supporting software under the mentorship of experienced professionals.

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.

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

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

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.

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

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

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.

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

The role involves developing marketing models, validating data, collaborating on model pipelines, and creating client-facing visualizations in the field of data science and marketing measurement.

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.

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 Product Owner is responsible for the product vision, roadmap, and stakeholder alignment in delivering enterprise data products. This includes managing backlogs, ensuring product adoption, establishing governance, and maintaining high-quality standards.

The Facilitator will deliver academic support in Data Analytics through live sessions, tutoring, and quality assurance, while collaborating on curriculum enhancements and mentoring others.

The role involves leading data science initiatives, mentoring team members, deploying models, and ensuring high-quality technical solutions. Responsibilities include coding, architecture design, and client requirement translation.

The Data Science Lead analyses and models data to create actionable insights, develops AI solutions, and mentors junior team members.

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 transformation initiatives by developing architectures, managing cross-functional teams, and ensuring compliance in BFSI environments. Engage with C-level stakeholders to align AI solutions with business objectives.

The role involves onboarding external candidates for a data science position within AI & ML, focusing on data science responsibilities.