Job Overview: Chubb is seeking a highly motivated and experienced Operational Research Data Scientist to join our team. This critical role will work alongside our lead data scientist and other data scientists to deliver impactful optimization solutions for our new initiative. The ideal candidate will have a solid foundation in the application of mathematical models to solve complex business problems and be eager to learn and apply the latest OR and AI techniques.
Job 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
- Participate in 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
- Stay up-to-date with the latest OR and AI techniques and explore innovative solutions to drive impactful optimization results
Job Requirements:
- 3+ years of experience in the OR field with a strong understanding of mathematical modeling, optimization, and simulation techniques
- Bachelor’s degree in Industrial Engineering, Operations Research, Applied Mathematics, or related fields with advanced degree preferred
- Experience in deploying OR solutions in the cloud environment
- Familiarity 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
- Basic understanding of descriptive statistics and exploratory data analysis techniques
- Strong 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
- Self-driven with an eagerness to learn and apply the latest OR and AI techniques to solve complex business problems
Job Overview: Chubb is seeking a highly motivated and experienced Operational Research Data Scientist to join our team. This critical role will work alongside our lead data scientist and other data scientists to deliver impactful optimization solutions for our new initiative. The ideal candidate will have a solid foundation in the application of mathematical models to solve complex business problems and be eager to learn and apply the latest OR and AI techniques.
Job 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
- Participate in 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
- Stay up-to-date with the latest OR and AI techniques and explore innovative solutions to drive impactful optimization results
Job Requirements:
- 3+ years of experience in the OR field with a strong understanding of mathematical modeling, optimization, and simulation techniques
- Bachelor’s degree in Industrial Engineering, Operations Research, Applied Mathematics, or related fields with advanced degree preferred
- Experience in deploying OR solutions in the cloud environment
- Familiarity 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
- Basic understanding of descriptive statistics and exploratory data analysis techniques
- Strong 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
- Self-driven with an eagerness to learn and apply the latest OR and AI techniques to solve complex business problems
Chubb is a world leader in insurance. With operations in 54 countries, Chubb provides commercial and personal property and casualty insurance, personal accident and supplemental health insurance, reinsurance, and life insurance to a diverse group of clients. The company is distinguished by its extensive product and service offerings, broad distribution capabilities, exceptional financial strength, underwriting excellence, superior claims handling expertise and local operations globally.
At Chubb, we are committed to equal employment opportunity and compliance with all laws and regulations pertaining to it. Our policy is to provide employment, training, compensation, promotion, and other conditions or opportunities of employment, without regard to race, color, religious creed, sex, gender, gender identity, gender expression, sexual orientation, marital status, national origin, ancestry, mental and physical disability, medical condition, genetic information, military and veteran status, age, and pregnancy or any other characteristic protected by law. Performance and qualifications are the only basis upon which we hire, assign, promote, compensate, develop and retain employees. Chubb prohibits all unlawful discrimination, harassment and retaliation against any individual who reports discrimination or harassment.
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