Data Scientist - Insurance Modeling

At Allstate, great things happen when our people work together to protect families and their belongings from life's uncertainties. And for more than 90 years, our innovative drive has kept us a step ahead of our customers' evolving needs. From advocating for seat belts, air bags and graduated driving laws, to being an industry leader in pricing sophistication, telematics, and, more recently, device and identity protection.

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 Product Modeling & Decision Science (PMDS) team as a part of the broader Auto & Home Analytics department. The PMDS team develops and maintains models used in rate making, economic analysis and underwriting. They also develop best practices and support enhancements to processes supporting major initiatives and the adaptation of models/major initiatives to state specific implementations.

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 (such as the incorporation of telematics data) 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. Support will be provided for those who seek the Certified Specialist in Predictive Analytics (CSPA) credential.

• 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

• 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 rate making 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…