Top Data Science Jobs in Chennai

The Senior Data Scientist II drives data science initiatives using AI/ML, collaborates with teams to design models, and manages the ML lifecycle to enhance business operations.

Assist with data science projects through development stages, debug production issues, and support customer requests with insights from data.

The Principal Data Scientist will lead ML projects, mentor junior scientists, manage cross-functional collaboration, and stay current with data science trends.

The Senior Data Scientist will develop algorithms and applications driven by data science to enhance business decisions around risk and debt collection. Responsibilities include data mining, modeling, and analyzing data to improve various business outcomes while working closely with stakeholders to implement data-driven strategies.

The Senior Data Scientist leads machine learning projects, applying methodologies to analyze data, develop models, and present findings to stakeholders.

The Data Scientist will develop and manage AI/ML solutions, working on Generative AI projects and collaborating with cross-functional teams.

The Lead Data Scientist will lead AI solution development, manage project teams, and collaborate with stakeholders to deliver client projects while ensuring high quality and timeliness of deliverables.

As a Senior Data Scientist, you'll develop innovative ML algorithms for security and privacy solutions, turning research into production services.

Design and implement solutions using LLMs, conduct research on generative AI, maintain code libraries, and collaborate with teams on software development.

As a Data Scientist, you will develop data science solutions and machine learning models, collaborating with teams to solve business challenges.

Develop and enhance data products and machine learning models for risk management and fraud detection, leading initiatives for business value. Manage data pipelines and communication with stakeholders.

The role involves leveraging machine learning and analytical skills to develop predictive models for pricing optimization and customer segmentation, collaborating with stakeholders to enhance business outcomes.