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George Mason University
Job Opportunity

Data Scientist at Tata Consultancy Services

Full Job Details

Employer: Tata Consultancy Services - Campus Recruitment

Expires: 05/16/2026

Job Title: Data Scientist – (Generative AI & LLMs)Role Description:We are seeking a motivated Data Science Trainee with foundational knowledge in Generative AI and Large Language Models (LLMs) to join our team. The trainee will assist in developing, experimenting, and deploying AI solutions using modern data science techniques and generative AI frameworks.Key Responsibilities:• Assist in building machine learning and data science models for real-world business problems.• Support development of Generative AI solutions with LLMs for automation, analytics, and intelligent applications.• Work with LLM APIs and frameworks to build prototypes such as chatbots, knowledge assistants, and AI agents.• Perform data preprocessing, data cleaning, and feature engineering.• Build and test prompt engineering strategies to improve LLM performance.• Assist with evaluation, fine-tuning, and monitoring of AI models.• Document experiments, model results, and technical processes.Qualification & Specialization:• Master’s degree in Data Science or a related field.• Foundational understanding of AI/ML concepts, Generative AI, and LLMs.Unique Experience from This Role:• Hands-on experience with cutting-edge AI technologies applied to real banking use cases, including automation, knowledge assistants, and intelligent decision systems.Learning Outcomes for the Trainee:• Develop practical skills in AI and Generative AI technologies.• Understand enterprise AI deployment challenges.• Gain awareness of ethical and regulatory considerations in the BFSI domain.

* The programs and services offered by George Mason University are open to all who seek them. George Mason does not discriminate on the basis of race, color, religion, ethnic national origin (including shared ancestry and/or ethnic characteristics), sex, disability, military status (including veteran status), sexual orientation, gender identity, gender expression, age, marital status, pregnancy status, genetic information, or any other characteristic protected by law. After an initial review of its policies and practices, the university affirms its commitment to meet all federal mandates as articulated in federal law, as well as recent executive orders and federal agency directives.