Vice President,Team Lead, Data Scientist, Transformation Group

Key Responsibilities

1. Lead a team of data scientists and machine learning engineers in developing robust, scalable models.
2. Design and deliver advanced ML solutions for use cases such as credit risk, customer segmentation, fraud detection, and regulatory compliance.
3. Architect and implement cutting-edge GenAI applications using:
4. LangChain / LangGraph
5. RAG (Retrieval-Augmented Generation) pipelines
6. Prompt engineering
7. Agentic workflows
8. Ensure adherence to model governance standards, documentation, and explainability requirements.
9. Partner with business stakeholders to translate complex analytical needs into production-grade AI solutions.
10. Foster a culture of innovation, learning, and accountability within the team.

Must-Have Qualifications

1. 15+ years of total experience in Python and machine learning development.
2. Recent hands-on expertise in:
3. Building Generative AI applications using LangChain / LangGraph
4. Designing RAG pipelines, prompt engineering, and/or agentic AI workflows
5. Strong foundation in traditional ML modelling techniques (e.g., regression, classification, ensemble models).

Experience mentoring and leading data science teams.

Preferred Experience

1. Prior experience in the banking or financial services domain.
2. Familiarity with regulatory environments and compliance-focused ML use cases.
3. Proven track record in solving business problems using ML in areas like:
4. 
   
5. Credit risk modelling
6. Customer analytics
7. Fraud detection
8. Legal & compliance analytics