Explore, clean, and analyse large, complex datasets to uncover patterns, trends, and prospects 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.

Your Profile

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

📌 Ai Data Scientist Hyderabad
🏢 Tata Consultancy Services
📍 Hyderabad