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Senior Optimization Research Analyst

1 month ago

London, Greater London, United Kingdom CHUBB Full time

Job Overview:

Chubb is seeking a highly skilled Operational Research Data Scientist to lead the optimization efforts for a new initiative. This critical role will be responsible for leveraging advanced OR techniques and AI technologies to solve core insurance problems dynamically.

Key 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 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.

Qualifications:

  • 10+ years of experience in the OR field with a strong understanding of the mathematical underpinning of optimization algorithms.
  • Advanced degree in Industrial Engineering, Operations Research, Applied Mathematics, or related fields.
  • Expertise in mathematical modeling, optimization, and simulation techniques.
  • Experience in deploying OR solutions in the cloud environment.
  • Experience with AI algorithms, predictive modeling, and machine learning techniques and their application to insurance problem solving.
  • Proficiency in programming languages such as Python, R, and SQL.
  • Strong understanding of descriptive statistics and exploratory data analysis techniques.
  • Excellent problem-solving and analytical skills with the ability to work with complex datasets.
  • Strong communication and collaboration skills to work effectively with different stakeholders and cross-functional teams.
  • Experience in leading end-to-end data science lifecycle from problem definition to model implementation.
  • Track record of successfully delivering impactful optimization projects in the insurance/finance/retail industries.
  • Ability to mentor and train junior data scientists to develop analytical skills in the team.
  • Self-driven with a passion for staying up-to-date with the latest OR and AI techniques and exploring innovative solutions to stay ahead of the competition.