Job Description

Job Overview
| Particular | Details |
|---|---|
| Company Name | Tata Consultancy Services (TCS) |
| Job Role | GenAI Data Scientist |
| Job Locations | Kolkata, Hyderabad, Bengaluru, Chennai, Mumbai, Gurgaon, Pune |
| Salary | Not Disclosed (Competitive Package) |
| Qualification | Any Graduate |
| Experience | 5–10 Years |
| Job Type | Full-Time, Permanent |
| Industry | IT Services & Consulting |
| Department | BFSI, Investments & Trading |
Job Description
Tata Consultancy Services (TCS) is hiring experienced professionals for the role of GenAI Data Scientist. This opportunity is ideal for candidates with strong expertise in Artificial Intelligence, Generative AI, Large Language Models (LLMs), Machine Learning, and Python development.
As a GenAI Data Scientist, you will design, develop, and deploy advanced AI-powered applications using modern Generative AI frameworks and cloud technologies. You will work on innovative projects involving AI Agents, Retrieval-Augmented Generation (RAG), conversational AI, machine learning pipelines, and enterprise-scale AI solutions.
This role provides an excellent opportunity to collaborate with cross-functional teams and contribute to cutting-edge AI products for global clients.
About the Company
Tata Consultancy Services (TCS) is one of the world’s leading IT services, consulting, and business solutions organizations. A part of the Tata Group, TCS serves clients across more than 50 countries and delivers innovative technology solutions in cloud computing, artificial intelligence, cybersecurity, analytics, enterprise applications, and digital transformation.
TCS is known for its employee-friendly culture, career growth opportunities, continuous learning programs, and exposure to global technology projects.
Eligibility Criteria
Education Qualification
Any Graduate from a recognized university.
Candidates with backgrounds in Computer Science, Information Technology, Artificial Intelligence, Data Science, Electronics, Mathematics, or related fields will be preferred.
Age Limit
No specific age limit has been mentioned by the company.
Gender
Male and Female candidates are eligible to apply.
Experience Required
Minimum: 5 Years
Maximum: 10 Years
Relevant experience in Generative AI, Machine Learning, Artificial Intelligence, Data Science, or related technologies is required.
Job Responsibilities
- Develop enterprise-grade Generative AI applications.
- Build AI-powered chatbots and conversational assistants.
- Design and implement Retrieval-Augmented Generation (RAG) solutions.
- Develop AI agents using LangGraph and related frameworks.
- Build scalable machine learning models and AI pipelines.
- Perform data preprocessing, feature engineering, and model optimization.
- Develop REST APIs and microservices for AI applications.
- Collaborate with business and technical teams to deliver AI solutions.
- Monitor model performance and continuously improve AI systems.
- Ensure responsible AI implementation with proper security and governance.
- Optimize Large Language Model (LLM) performance for enterprise applications.
- Integrate AI applications with cloud platforms and enterprise systems.
Required Skills
Technical Skills
- Generative AI (GenAI)
- Large Language Models (LLMs)
- Gemini
- Open Source LLMs
- AI Agents
- Retrieval-Augmented Generation (RAG)
- LangChain
- LangGraph
- LangSmith
- Python Programming
- TypeScript
- Machine Learning
- Natural Language Processing (NLP)
- Prompt Engineering
- Vector Databases (PG Vector, ChromaDB)
- React JS
- API Development
- Microservices Architecture
- MLOps
- Model Deployment
- CI/CD Pipelines
- Cloud Computing (GCP Preferred)
- API Gateway
- ISTIO
- Security Best Practices
- Data Integration
- Statistical Modeling
- Predictive Analytics
Soft Skills
- Analytical Thinking
- Problem Solving
- Communication Skills
- Team Collaboration
- Innovation Mindset
- Time Management
- Attention to Detail
- Critical Thinking
- Adaptability
- Continuous Learning
Salary Details
TCS has not officially disclosed the salary for this position. Selected candidates can expect an attractive compensation package based on their experience, technical expertise, and interview performance.
Employees may also receive:
- Performance Bonus
- Annual Salary Revision
- Provident Fund (PF)
- Medical Insurance
- Paid Leave
- Employee Wellness Programs
- Learning & Certification Support
- Career Growth Opportunities
- Hybrid/Project-Based Work Opportunities (as applicable)
How to Apply
Follow these steps to apply:
- Visit the official TCS Careers website.
- Search for the “GenAI Data Scientist” job opening.
- Read the complete job description carefully.
- Register or log in to your TCS Careers account.
- Fill in the online application form.
- Upload your updated resume and required documents.
- Verify all the information entered.
- Submit your application and wait for further communication from the TCS recruitment team.
Required Documents
- Updated Resume/CV
- Passport Size Photograph
- Aadhaar Card
- PAN Card
- Government Photo ID
- Educational Certificates
- Degree Mark Sheets
- Experience Certificates
- Current CTC Details (if applicable)
- Last Three Months Salary Slips
- Professional Certifications
- Project Portfolio (if available)
Other Important Details
Company: Tata Consultancy Services (TCS)
Job Role: GenAI Data Scientist
Employment Type: Full-Time, Permanent
Experience: 5–10 Years
Industry: IT Services & Consulting
Department: BFSI, Investments & Trading
Preferred Work Locations:
- Bengaluru
- Hyderabad
- Kolkata
- Chennai
- Mumbai
- Gurgaon
- Pune
Preferred Technologies:
- GenAI
- LLM
- AI Agents
- LangChain
- LangGraph
- RAG
- Python
- Machine Learning
- React JS
- GCP
- NLP
- MLOps
- API Development
- Vector Databases
Why Join TCS?
- Work on next-generation AI and Generative AI technologies.
- Be part of one of India’s largest global IT companies.
- Opportunity to work with enterprise AI and LLM-based projects.
- Competitive salary and comprehensive employee benefits.
- Continuous learning through TCS training and certification programs.
- Global career opportunities and long-term professional growth.
- Collaborative work environment with experienced technology professionals.