[Skip to main content](#main-content) [OpenNash Jobs](https://jobs.opennash.com/) [Hiring report](/reports/hiring/) · [All Tata Consultancy Services jobs](https://jobs.opennash.com/companies/tata-consultancy-services/) · [Search jobs](/search/) Tata Consultancy Services · Bengaluru # Data Scientist Bengaluru Data & Analytics Last seen on Tata Consultancy Services’s official careers site on August 1, 2026; it may have closed since. [Apply on Tata Consultancy Services’s careers site →](https://ibegin.tcsapps.com/candidate/next/en-IN/jobs/414406J) [OpenNash Jobs](https://jobs.opennash.com/) / [Tata Consultancy Services](https://jobs.opennash.com/companies/tata-consultancy-services/) / Data Scientist ## Job description Role - Data Scientist Experience - 4 to 15 years Joining Location - PAN INDIA Job description - Advanced degree in mathematics, statistics, computer science, or related field. - Strong knowledge of statistical analysis, machine learning, and deep learning. - Developing advanced algorithms and models to extract valuable insights from complex datasets, with a focus on generative AI and large language models (LLMs). - Conducting thorough exploratory data analysis (EDA) to uncover patterns, anomalies, and correlations in the data for NLP/Time series/Vision capability streams. - Fine-tuning pre-trained models to optimize their performance for specific tasks and domains. - Strong working knowledge of agent-based and Agentic AI systems leveraging LLMs for reasoning, planning, and task execution. - Collaborating with cross-functional teams to define project objectives and deliverables and integrating AI models into production environments. - Applying statistical techniques, machine learning algorithms, and deep learning architectures to solve complex business problems and generate accurate predictions. - Utilizing cloud-based AI services (e.g., AWS, Azure, GCP) to build scalable and efficient AI solutions. - Implementing MLOps practices for model deployment, monitoring, and management. - Proficiency in Python or R, along with relevant libraries (e.g., pandas, NumPy, scikit-learn, TensorFlow, PyTorch). -; Staying updated with the latest advancements in data science, generative AI, and cloud AI services. - Experience in developing and deploying AI/Gen AI based systems in production. Mentoring junior data scientists and providing technical guidance.