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Hybrid Team Lead, Data Scientist, Transformation Group at None

None · Mumbai, India · Hybrid

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We are seeking a seasoned and hands-on Team Lead to head our Model Development Team, focused on driving advanced machine learning and Generative AI initiatives across critical banking domains — including credit risk, fraud detection, legal & compliance, and consumer & institutional banking analytics.

This is a high-impact leadership role ideal for a technically strong individual who combines deep expertise in ML modelling with recent experience building Generative AI applications using modern frameworks.

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

  1. 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
  2. Strong foundation in traditional ML modelling techniques (e.g., regression, classification, ensemble models).

Experience mentoring and leading data science teams.

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.

 

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