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Data Scientist – Insurance Modeling
Location
United States
Posted
142 days ago
Salary
$80K - $136.6K / year
Seniority
Senior
Job Description
Data Scientist – Insurance Modeling
Allstate
• 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
Job 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
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