Vice President,Team Lead, Data Scientist, Transformation Group

Key Responsibilities

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

Must-Have Qualifications

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

Preferred Experience

• Prior experience in the banking or financial services domain
• Familiarity with regulatory environments and compliance-focused ML use cases
• Proven track record in solving business problems using ML in areas like:
• Credit risk modelling
• Customer analytics
• Fraud detection
• Legal & compliance analytics
  

What We Offer

• A leadership role with the opportunity to shape the future of AI in banking
• Work on high-priority, real-world problems with measurable business impact
• Collaborative, tech-forward work environment with opportunities for continuous learning
  

Primary Location

Job

Schedule

Job Type

Job Posting