Job Title: Senior AI Data Scientist / AI Analytics Lead

Experience:
8+ Years Employment Type: Full-Time Industry: IT Services / Healthcare Technology / Data Analytics Job Summary: We are looking for an experienced Senior AI Data Scientist / AI Analytics Lead to develop and scale an enterprise-grade Conversational Analytics Platform for a leading healthcare and Pharmacy Benefit Management (PBM) business. The role involves building GenAI-powered analytics solutions, developing RAG pipelines, designing semantic layers, and enabling natural language interaction with enterprise data hosted on Snowflake.

Key Responsibilities

- Design and develop Generative AI and Conversational Analytics solutions using LLMs.
- Build and optimize RAG pipelines, NLP models, chatbots, and AI-powered assistants.
- Develop semantic layers and business data models for enterprise analytics.
- Work with Snowflake, Python, SQL, vector databases, and embedding technologies.
- Implement prompt engineering, agentic AI workflows, and LLM orchestration.
- Develop and optimize ML models for predictive analytics, forecasting, and anomaly detection.
- Establish LLMOps/MLOps practices, model evaluation, monitoring, and deployment frameworks.
- Collaborate with architects, data engineers, product teams, and business stakeholders.
- Ensure conversational accuracy, scalability,



governance, and responsible AI implementation. Required Technical

Skills:

- 8+ years of experience in Data Science, AI/ML, or AI Engineering.
- 3+ years of hands-on experience in Generative AI and LLM-based applications.
- Strong expertise in Python, SQL, and Snowflake.
- Experience with NLP, Transformers, Embeddings, Vector Search, and RAG.
- Hands-on experience with LangChain, LangGraph, LlamaIndex, or similar frameworks.
- Knowledge of Semantic Layer, Data Modelling, and Conversational AI.
- Experience with OpenAI/Azure OpenAI, Hugging Face, PyTorch, or Scikit-learn.
- Exposure to cloud platforms, Docker, Kubernetes, and CI/CD. Preferred

Skills:

- Experience in Healthcare Analytics, Pharmacy Benefit Management (PBM), or Pharmacy Claims.
- Knowledge of Azure AI Services, Databricks, dbt, and Power BI/Tableau.
- Experience in Agentic AI, Multi-Agent Frameworks, and enterprise AI product development.
- Understanding of healthcare data governance and compliance. Ideal Candidate: A technically strong AI qualified with proven experience in taking GenAI solutions from Proof of Concept (POC) to enterprise-scale production deployment, along with strong analytical and stakeholder management capabilities.

📌 Senior AI Data Scientist (Mumbai)
🏢 QuCatalyst Corporate Services
📍 Mumbai