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Operational Research Data Scientist

1 month ago

Toronto, Ontario, Canada CHUBB Full time

Chubb is a world leader in insurance, providing commercial and personal property and casualty insurance, personal accident and supplemental health insurance, reinsurance and life insurance to a diverse group of clients.

Key Objective:

Chubb seeks a highly skilled and experienced Operational Research Data Scientist to lead the optimization efforts for a new initiative, leveraging advanced OR techniques and AI technologies to solve core insurance problems dynamically.

Major Responsibilities:

  • Develop and implement optimization models to improve business performance and operational efficiencies in the insurance industry.
  • Analyze large volumes of data and provide insights to make data-driven decisions for use in insurance risk profiling, claims management and other key problem areas.
  • Collaborate with cross-functional teams including actuaries, underwriters, and IT to design, develop, and integrate optimization solutions.
  • Lead the end-to-end data science lifecycle from problem definition to model implementation.
  • Use AI algorithms and predictive modeling to create dynamic optimization models that can quickly adapt to changing market conditions and customer needs.
  • Mentor and train junior data scientists to develop analytical skills in the team.
  • Stay up-to-date with the latest OR and AI techniques and explore innovative solutions to stay ahead of the competition.

Requirements include 10+ years of experience in the OR field with a strong understanding of the mathematical underpinning of optimization algorithms, an advanced degree in Industrial Engineering, Operations Research, Applied Mathematics, or a related field, and expertise in mathematical modeling, optimization, and simulation techniques.

Experience in deploying OR solutions in the cloud environment, AI algorithms, predictive modeling and machine learning techniques, and their application to insurance problem solving is also required. Proficiency in programming languages such as Python, R, and SQL, as well as strong understanding of descriptive statistics and exploratory data analysis techniques, is necessary.

Excellent problem-solving and analytical skills, with the ability to work with complex datasets, and strong communication and collaboration skills to work effectively with different stakeholders and cross-functional teams are also required.

At Chubb, we are committed to providing equal employment opportunities to all employees and applicants. If you require an accommodation during the hiring process or upon hire, please inform Human Resources.