Lead Data Scientist for Insurance Optimization

2 months ago

Montreal, Quebec, Canada CHUBB Full time

Chubb is a global leader in insurance, providing commercial and personal property and casualty insurance, personal accident and supplemental health insurance, reinsurance, and life insurance to a diverse clientele across 54 countries. The company distinguishes itself through its extensive product offerings, broad distribution capabilities, exceptional financial strength, underwriting excellence, superior claims handling expertise, and local operations worldwide.

Key Objective:

Chubb seeks a highly skilled and experienced Operational Research Data Scientist to lead optimization efforts for a new initiative. This critical role will leverage advanced OR techniques and AI technologies to solve core insurance problems dynamically. The ideal candidate possesses a proven track record of delivering impactful optimization solutions and expertise in applying mathematical models to complex business challenges.

Major Responsibilities:
  • Develop and implement optimization models to enhance business performance and operational efficiencies within the insurance industry.
  • Analyze extensive datasets and provide actionable insights for data-driven decisions in areas such as insurance risk profiling, claims management, and other critical problem domains.
  • Collaborate with cross-functional teams, including actuaries, underwriters, and IT professionals, to design, develop, and integrate optimization solutions.
  • Lead the entire data science lifecycle, from problem definition to model implementation.
  • Utilize AI algorithms and predictive modeling to create dynamic optimization models capable of adapting to evolving market conditions and customer needs.
  • Mentor and train junior data scientists to cultivate analytical skills within the team.
  • Stay abreast of the latest OR and AI techniques, exploring innovative solutions to maintain a competitive edge.

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