Data Scientist – Insurance Modeling

Job Description: • Uses best practices and traditional statistical/modeling techniques to develop and maintain rating, economic and other models as necessary and in consideration of the business goals of the model • Provide tools, educate and support state teams in the implementation of models and other decision-making support • Follows appropriate analyses to be conducted for projects to make recommendations to achieve corporate goals • With minimal direction plans, implements, manages, and/or contributes on projects that are up to moderate complexity and are small-to moderate scale using accepted project management standards • Forecasts short-term and long-term deliverables with assistance • Tracks own plan performance and project timeline and communicates and presents project status • Ensures project controls are in place throughout the lifecycle of the project within own tasks • Supports the development/ design of new plans, programs, processes, products up to moderate complexity • Assists in the development of communication strategies and materials to support new plans, programs, processes, products; solicits input from stakeholders • Participates in the evaluation of procedures and processes regularly and makes observations or suggests improvements • Contributes to market share growth and profitability by recommending changes to products, pricing, risk management • Understands standard market specific implications of business strategies • Assures proper execution of regulatory/legislative practices for Product Management • Understands and follows internal and external compliance requirements/standards • Trains/coaches team members or peers and actively shares expertise with peers Requirements: • Bachelor’s degree – preferably in related field of study such as finance, math/applied math, statistics/applied statistics, economics • Proven insurance business knowledge – for example, understands economics of insurance, familiarity with personal lines ratemaking and rating plans, etc. • Several years of experience working in personal or commercial lines of insurance • Aptitude and strong interest in statistical modeling techniques such as linear regression, logistic regression, GLM, GAM, GBM, etc. - some modeling experience is helpful but not required • Standard knowledge in the use of data sources and applications to conduct research • Strong technical aptitude, such as programming experience with Python, R, SAS, or SQL required. • Working knowledge of insurance regulation and related business constraints • Has an understanding of current industry and professional standards/ environment to impact decisions and indicate requirements • Can analyze data and review analysis from others and identify and resolve basic data issues • Intermediate computer proficiency in Microsoft Office • Possesses working knowledge of policies and procedures in management or other technical fields • Strong written and verbal communication skills including the ability to effectively collaborate with multi-disciplinary groups and all organizational levels • High level organizational and project management skills in order to handle multiple concurrent assignments in a timely manner and to monitor processes throughout a team or department • Strong decision-making skills • Works effectively in a team environment Benefits: • Support for those seeking the Certified Specialist in Predictive Analytics (CSPA) credential Apply tot his job