Stewart Bobbitt

Stewart Bobbitt, CSPA, has a strong background in data analytics, advanced analytics, and data science. Stewart has extensive experience in the insurance industry, having worked for Horace Mann as Vice President of Data Analytics and previously as AVP of Advanced Analytics. In these roles, they led and consulted on various data science projects, focusing on acquisition, retention, and customer experience. Stewart also worked as a Director of Data Science, where they developed Shiny applications, R packages, predictive models, and social graph analytics.

Prior to their tenure at Horace Mann, Stewart worked at LexisNexis Risk Solutions as a Senior Statistical Modeler and Statistical Modeler. In these roles, they developed and validated insurance predictive models for P&C ratemaking and underwriting. Stewart also had a client-facing role, focusing on risk scoring solutions for auto, home, and commercial lines.

Before their time at LexisNexis, Stewart worked at Optimum Re Insurance Company as a Reinsurance Data Analyst, conducting data analysis and providing support in the reinsurance field.

Overall, Stewart Bobbitt has a strong background in data analytics and a proven track record in the insurance industry.

Stewart Bobbitt, CSPA, obtained a Master of Applied Statistics degree from Louisiana State University from 2011 to 2014. Prior to that, they completed a Bachelor of Science in Mathematics from Louisiana State University from 2002 to 2007. Additionally, in 2018, they obtained a certification as a Certified Specialist in Predictive Analytics from The CAS Institute.