Data Scientist - Insurance Modeling

September 15

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Allstate

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Auto Insurance • Life Insurance • Retirement Planning • Homeowners Insurance • Motorcycle Insurance

10,000+ employees

Founded 1931

💰 Post-IPO Equity on 2014-01

Description

• Analytics is responsible for aligning with and contributing to corporate growth and profitability objectives by providing expert guidance, influencing business strategies, executing flawlessly, and rigorously defending our work. • This position will work on the Modeling & Major Initiatives team as a part of the broader Auto & Home Analytics department. • The Modeling & Major Initiatives team develops and maintains models used in ratemaking, economic analysis and underwriting. • Data Scientists will utilize various statistical modeling techniques to support the creation of models, will educate business partners on the use of these models and will participate in innovative work to continually improve rating plan sophistication and decision-making support. • The Auto & Home Analytics Department supports pricing of personal insurance lines of business utilizing accepted actuarial and statistical standards and methodologies. • Data Scientists work closely with their Analytics Manager to support business goals.

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. • 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