Operational Research Data Scientist

Found in: Talent US C2 - 2 weeks ago


Philadelphia, United States CHUBB Full time

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

• 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

The pay range for the role is $80,500 to $137,000. The specific offer will depend on an applicant’s skills and other factors. This role may also be eligible to participate in a discretionary annual incentive program. Chubb offers a comprehensive benefits package, more details on which can be found . The disclosed pay range estimate may be adjusted for the applicable geographic differential for the location in which the position is filled.


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