Top Data Science Jobs in Chennai

Analyze large datasets, build and evaluate machine learning models, prepare and transform data, and create Power BI dashboards. Apply statistical methods and A/B testing, use cloud platforms (AWS, Snowflake), leverage Generative AI/LLMs, ensure data governance and responsible AI, and present insights while collaborating in an Agile team.

Design, develop, and deploy enterprise AI/ML solutions including GenAI, LLM-based RAG systems, and agentic AI. Build scalable models, integrations, monitoring, and reusable frameworks while collaborating with stakeholders for production adoption and continuous improvement.

Design, develop, and deploy scalable AI/ML and Generative AI solutions (LLMs, RAG, agentic AI). Build AI agents, create intelligent workflows, fine-tune and monitor models, integrate with enterprise systems, and support production deployment and continuous improvement.

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.

Perform data analysis, preprocessing, and modeling; collaborate with the data science team to generate reports and present findings; support project monitoring and resolve data challenges under senior guidance.

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.

Support Applied AI team by writing production-quality Python and optimized Snowflake/SQL queries to prepare and validate large datasets, run EDA, build evaluation datasets and benchmarking, and assist product managers and data scientists with experimentation, root-cause analysis, and ML/AI pipeline evaluation. Document and communicate findings to stakeholders.

Support AI workflows by building and optimizing Snowflake SQL, writing production-quality Python for data transformation and pipelines, curating evaluation datasets and metrics, performing exploratory data analysis to find quality issues, and partnering with product managers and data scientists to support experimentation, model evaluation, and automation.

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 and manage the Data Science team delivering MMM, incrementality, RBA, and forecasting models. Oversee end-to-end model development, validation, productization, API design for agent consumption, mentor staff on Bayesian and causal methods, and coordinate with Data Architecture and Media Effectiveness teams.

Lead and deliver measurement and marketing-science models (MMM, incrementality, RBA, forecasting); manage model pipelines, validate methodology, productize agentic models, mentor data scientists, coordinate with data architecture, and support GTM for analytics products.

Lead post-deployment operations and optimization of Agentic AI, LLM integrations, and Python-based analytical pipelines. Supervise a data science operations team, ensure secure high-availability production systems, manage integrations with enterprise systems (SAP, Salesforce, Postgres), and drive continuous improvement, monitoring, and adoption of analytics solutions.

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