Data Scientist (Gen AI and Agentic AI)

Job Title – Data Scientist (Gen AI and Agentic AI) Company – TCS (MEA) Location – Dhahran, Saudi Arabia Job type – Full time About Us: Tata Consultancy Services (TCS) is an IT services, consulting and business solutions organization that has been partnering with many of the world’s largest businesses in their transformation journeys for over 50 years. TCS offers a consulting-led, cognitive powered, integrated portfolio of business, technology and engineering services and solutions. This is delivered through its unique Location Independent Agile™ delivery model, recognized as a benchmark of excellence in software development. A part of the Tata group, India's largest multinational business group, TCS has over 616,171 of the world’s best-trained consultants with 157 nationalities in 53 countries. For more information, visit www.tcs.com and follow TCS news at @TCS_News. Job Description: Profile: A next-generation Data Scientist evolving from Traditional ML & Time Series Analytics to Generative AI and Agentic AI, capable of building intelligent, autonomous enterprise solutions. Core Skills: • Machine Learning, Predictive Analytics, Time Series Forecasting • Large Time Series Models (Chronos, TimesFM, Moirai) • Generative AI, LLMs, Prompt Engineering • Agentic AI, Multi-Agent Systems (LangGraph, CrewAI, AutoGen) • RAG, Knowledge Graphs, Vector Databases • Python, FastAPI, Docker, Kubernetes • Enterprise AI Integration and Explainable AI Key Responsibilities: • Develop predictive and forecasting models using traditional ML and Time Series techniques. • Design and implement GenAI and Agentic AI solutions. • Build AI Copilots, autonomous agents, and decision-support systems. • Integrate enterprise data, knowledge graphs, and business applications. • Deliver scalable, secure, and explainable AI solutions. Application Deadline: 20-November-2026 Privacy Note: https://www.tcs.com/connect-with-tcs/privacy-policy Show more Show less

Core Skills include: Machine Learning, Predictive Analytics, Time Series Forecasting; Large Time Series Models (Chronos, TimesFM, Moirai); Generative AI, LLMs, Prompt Engineering; Agentic AI, Multi-Agent Systems (LangGraph, CrewAI, AutoGen); RAG, Knowledge Graphs, Vector Databases; Python, FastAPI, Docker, Kubernetes; Enterprise AI Integration and Explainable AI.

Develop predictive and forecasting models using traditional ML and Time Series techniques. Design and implement GenAI and Agentic AI solutions. Build AI Copilots, autonomous agents, and decision-support systems. Integrate enterprise data, knowledge graphs, and business applications. Deliver scalable, secure, and explainable AI solutions.