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Scott Sobel

AI Policy Advisor

Scott Sobel is a Principal in the Columbus, Ohio office of Oliver Wyman Actuarial Consulting, Inc., specializing in property and casualty actuarial ratemaking and predictive modeling. With over 12 years of experience in actuarial predictive analytics consulting, Scott has a diverse background in various insurance sectors such as private passenger automobile, homeowners, farmowners, workers’ compensation, and more.

His expertise includes leading client projects using machine learning analytics software, implementing predictive analytics in ratemaking and underwriting, securing approvals for the use of predictive analytics from Department of Insurance (DOI), and conducting analyses for personal, commercial, and workers' compensation insurances. He is adept at generalized linear modeling and estimating impacts on workers' compensation claim costs.

Scott Sobel holds a Master's Degree in Predictive Analytics from Northwestern University and a Bachelor of Science in Statistics from the University of Florida. His educational journey also includes courses from online platforms and Winter Park High.

In addition to his current role at Oliver Wyman, Scott has held positions such as AI Policy Advisor at the National Association of Insurance Commissioners (NAIC), Senior Data Scientist at VoyageWorks, Actuarial Consultant at EagleEye Analytics, Lead Actuary at Bankers Insurance Company, and various actuarial roles in organizations like NCCI, Florida Farm Bureau Insurance, among others.

Scott Sobel
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Location

Blythewood, South Carolina, United States