AI Data Scientist

Tata Consultancy Services; Hyderabad, Chennai District; On-site; INR 1,500,000 - 2,300,000; Full time

Job summary

Tata Consultancy Services in Hyderabad seeks a Data Scientist with 5 to 12 years of experience to build GenAI driven solutions. You will work on large datasets, develop ML models, and deploy end-to-end pipelines in collaboration with data engineers and product teams.

The role emphasizes interpretable models, guardrails for safety, and experimentation with NLP, forecasting, and anomaly detection, with opportunities to scale across business units.

Qualifications

• Hands-on GenAI with LLMs for code translation, text extraction, summarisation.
• Experience with AI agents, RAG, and vector databases.
• Proficient in Python and TypeScript; familiarity with LangChain/LangGraph.

Responsibilities

• Explore, clean, and analyse large datasets to uncover patterns and opportunities.
• Develop, train, and validate ML models that solve business problems and deliver impact.
• Design and run experiments (A/B tests, hypothesis tests, simulations).
• Collaborate with data engineers, analysts, PMs, and domain experts to translate requirements into modelling tasks.
• Build end-to-end ML pipelines from feature engineering to deployment-ready outputs.
• Apply NLP, timeseries forecasting, anomaly detection, or GenAI techniques where relevant.
• Implement model evaluation frameworks using offline metrics, cross-validation, and online experiments.
• Communicate insights through dashboards, visualisations, and presentations for technical and non-technical stakeholders.
• Ensure models are interpretable and explainable; provide transparency into drivers and assumptions.
• Work with engineering teams to deploy models into production, monitor performance, and retrain or recalibrate as data shifts.

Skills

GenAI applications

Python

LLMs / NLP

AI Agents / RAG

LangGraph / LangSmith

MLOps

Data analysis

React/Frontend

TypeScript

Tools

LangGraph

ADK

A2A

MCP

PG Vector

ChromaDB

LangSmith

Job description

Your Profile

• Explore, clean, and analyse large, complex datasets to uncover patterns, trends, and opportunities that drive actionable insights.
• Develop, train, and validate machine learning, statistical, and predictive models that solve real business problems and deliver measurable impact.
• Design and run experiments (A/B tests, hypothesis tests, simulations) to evaluate ideas, quantify outcomes, and guide decisionmaking.
• Collaborate with data engineers, analysts, product managers, and domain experts to translate business requirements into welldefined modelling tasks.
• Build endtoend ML pipelinesfrom feature engineering and preprocessing to deploymentready model outputs.
• Apply advanced techniques such as NLP, timeseries forecasting, anomaly detection, optimisation, or LLM/GenAI methods where relevant.
• Implement model evaluation frameworks using offline metrics, crossvalidation, online experiments, and humanintheloop feedback loops.
• Communicate insights clearly through dashboards, visualisations, written summaries, and presentations tailored to technical and nontechnical stakeholders.
• Ensure models are interpretable and explainable where required, providing transparency into key drivers and assumptions.
• Work with engineering teams to deploy models into production, monitor performance, and retrain or recalibrate as data and conditions change.

Essential skills/knowledge/experience: (Up to 10, Avoid repetition)

Role- Data Scientist ( 5 to 12 Yrs )

• Hands-on experience with GenAI, Gemini or Open source LLMs and develop GenAI applications for Code Translation, Text Extraction, Summarisation and SDLC Optimization etc.
• Hands-on Experience with AI Agents, Chat bots, RAG (Retrieval-Augmented Generation), and vector databases. ( PG vector / croma DB )
• Hands-on Experience with GenAI Performance Evaluation tools like Pegasus, Ragas, DeepEval
• Create Conversational Interface with React JS or other Frontend components, Develop and deploy AI agents using LangGraph and ADK, A2A, MCP
• Strong programming skills in Python (experience with LangChain/LangGraph / LangSmith frameworks) and TypeScript ( preferable )
• Solid understanding of LLMs, prompt engineering, and graph-based workflows.
• Knowledge and implementation of Input and Output guardrails in addressing Hallucination, PII filtering, HAP and Bias etc.
• Implemented security best practices, Experience to address spikes and Denial of wallet attacks, DDoS attack and other Spike arrest strategies
• Knowledge of API Gateways and ISTIO , ability to Diagnose and intercept failures in End to End communication
• Hands-on Experience with API Development and Microservices architecture

Desirable skills/knowledge/experience: (As applicable)

• Strong experience applying machine learning, statistical modelling, and predictive analytics to realworld business problems.
• Collaborate with cross-functional teams to ability to resolve end to end connectivity and Data Integrations
• Experience working with large, complex datasets, including data cleaning, feature engineering, and exploratory data analysis.
• Familiarity with LLMs, NLP techniques, and GenAI frameworks, including embeddings, prompt engineering, or finetuning.
• Experience building endtoend ML pipelines, including model validation, optimisation, deployment, and monitoring.
• Understanding of MLOps practices, including model versioning, model registries, CI/CD for ML, and automated training/inference workflows.
• Ability to translate business problems into analytical tasks and communicate insights in a clear, concise manner to technical and nontechnical audiences.
• Knowledge of data governance, including data quality, lineage, ethics, privacy considerations, and responsible AI principles.
• Comfort working with cloud platforms (GCP preferred) for model training, deployment, and scalable compute.

A growthoriented mindset with enthusiasm for exploring new algorithms, tools, and e