We are doing an event - in person interviews in Hyderabad (14th Feb, Saturday )

Qualification : Engineering / MSc Mathematics / MSc Statistics / Masters in Engineering

The Lead Data Scientist (Level 4) will drive advanced Machine Learning and Generative AI initiatives, delivering scalable analytics solutions across pricing, forecasting, supply chain, promotion, and assortment analytics.

This role requires deep technical expertise and ownership of end-to-end ML and GenAI implementations.

Key Responsibilities :

- Lead development of ML and GenAI solutions using Python.

- Build and optimize models for forecasting, price elasticity, pricing, assortment, supply chain, and promotion analytics.

- Apply advanced statistical and analytical techniques to complex business problems.

- Oversee cloud deployment of ML and GenAI solutions.

- Design and implement LLM-based solutions, RAG pipelines, and prompt engineering frameworks.

- Work with vector databases, embeddings, LangChain, and LlamaIndex.

- Build AI agents and tool-calling systems.

- Ensure adherence to Responsible AI and AI Governance standards using Azure OpenAI.

Required Skills :

- Classical Machine Learning

- Statistical & Analytical Foundations

- Machine Learning

- Python Programming

- SQL

- Cloud & Deployment

- Data Wrangling & EDA

- Forecasting

- Generative AI

- Large Language Models (GPT-4, GPT-4o, Claude, LLaMA, Gemini, Qwen, Nova Pro)

- Prompt Engineering

- Retrieval Augmented Generation (RAG)

- LLM Fine-Tuning / Model Customization

- Vector Databases & Embeddings

- LangChain / LlamaIndex

- AI Agents & Tool Calling

- Responsible AI / AI Governance

- Azure OpenAI

Preferred Qualifications :