Lead Data Scientist – Underwriting Ai

Manulife Financial Inc

Multiple Locations
Hybrid
Lead ai, ml, and generative ai solutions
Develop underwriting summarization and document intelligence
Lead and grow a team of data scientists
Manulife Financial is seeking a Lead Data Scientist for Underwriting AI to drive AI, ML, and Generative AI solutions in underwriting decision-making across Asia. The role requires extensive experience in advanced analytics and leadership to develop scalable and compliant underwriting capabilities

Job Summary

  • Lead the design, development, and deployment of AI, ML, and Generative AI solutions supporting underwriting use cases.
  • Lead, coach, and develop a high-performing team of data scientists focused on underwriting AI and analytics.
  • Ensure AI solutions are responsible, explainable, auditable, and compliant with internal AI governance and regulatory expectations.

Matching Summary

Match Score: 85

Manulife Financial is seeking a Lead Data Scientist for Underwriting AI to drive AI, ML, and Generative AI solutions in underwriting decision-making across Asia. The role requires extensive experience in advanced analytics and leadership to develop scalable and compliant underwriting capabilities.

Skills & Requirements

Must-have

  • Lead AI, ML, and Generative AI solutions
  • Develop underwriting summarization and document intelligence
  • Lead and grow a team of data scientists
  • Hands-on technical leadership in GenAI
  • Responsible, explainable, auditable AI solutions
  • 10+ years in AI, ML, or advanced analytics
  • Strong Python, SQL, and data science toolchains

Nice-to-have

  • Underwriting, insurance, or reinsurance domain knowledge
  • Partner with reinsurers and external providers
  • Contribute to AI and data strategy
  • Influence senior leaders across regions

Key Requirements

  • 10+ years of experience in AI, machine learning, or advanced analytics
  • Strong underwriting, insurance, or reinsurance domain knowledge (highly preferred)
  • Proven experience leading complex analytics initiatives in highly regulated environments
  • Practical experience with Generative AI (LLMs, RAG, evaluation)
  • Experience with cloud and big data platforms (Azure, Spark, Databricks)
  • Demonstrated ability to lead and scale teams

Work Rights

Not specified

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