Build high-performing analytics teams and deliver smarter product pricing decisions for the Auto line within the Personal Insurance Loss and Demand Modeling team.
Locations (4)
Columbus, Ohio, United States
Chicago, Illinois, United States
Hartford, Connecticut, United States
Charlotte, North Carolina, United States
Compensation
$81,040 - $121,560
Responsibilities
Develop and evaluate predictive modeling solutions that support the personal auto class plan, unconstrained loss models, and customer demand models.
Postdoctoral Researcher – Mathematical Optimization for Energy Systems
National Laboratory of the Rockies · Posted Jun 15, 2026
Operations Research Engineers function as internal consultants to support improved decision-making by developing models using operations research methods, such as mathematical optimization and stochastic simulation.
Responsibilities
Participate in the scoping of business problems to apply operations research methods
Work with key contacts to identify and translate data requirements which represent the system and constraints to be modeled
Develop custom mathematical optimization and/or stochastic simulation models by applying the following: linear programming, mixed-integer programming, system dynamics simulation, and/or discrete event simulation
Proactively drive cross-functional alignment across organizations (as needed) to validate model solution quality
Create documentation to explain how the operations research methods are applied, and conduct reviews with senior technical professionals to ensure technical quality
Requirements
Master’s degree or Ph. D. preferred in Industrial Engineering or Operations Research or Applied Mathematics or relevant Engineering field with specialization in Operations Research methods
Evaluate new data sources and modeling approaches to boost product performance. Engineer features to uncover additional signal for our models.
Support model implementations with state Departments of Insurance (DOI), serving as a subject matter expert on the models you build and responding to DOI queries.
Maintain a portfolio of repositories and scripts and suggest improvements to workflows. Assist in the modernization of model deployments using our cloud-based MLOps tools.
Collaborate with team members to plan and deliver projects in an Agile framework.
Requirements
Master's degree in Statistics, Data Science, Mathematics, Actuarial Science, Economics, Engineering, Physics, or similar analytical field
Nice to have: experience in the insurance industry
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