Remote, IL, US
54 days ago
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. 

Job 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. 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.

Key Responsibilities:

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 modelProvide tools, educate and support state teams in the implementation of models and other decision-making supportFollows appropriate analyses to be conducted for projects to make recommendations to achieve corporate goalsWith 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 standardsForecasts short-term and long-term deliverables with assistanceTracks own plan performance and project timeline and communicates and presents project statusEnsures project controls are in place throughout the lifecycle of the project within own tasksSupports the development/ design of new plans, programs, processes, products up to moderate complexityAssists in the development of communication strategies and materials to support new plans, programs, processes, products; solicits input from stakeholdersParticipates in the evaluation of procedures and processes regularly and makes observations or suggests improvementsContributes to market share growth and profitability by recommending changes to products, pricing, risk managementUnderstands standard market specific implications of business strategiesAssures proper execution of regulatory/legislative practices for Product ManagementUnderstands and follows internal and external compliance requirements/standardsTrains/coaches team members or peers and actively shares expertise with peers

 
 
Job Qualifications

Bachelor’s degree – preferably in related field of study such as finance, math/applied math, statistics/applied statistics, economicsProven 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 insuranceAptitude and strong interest in statistical modeling techniques such as linear regression, logistic regression, GLM, GAM, GBM, etc. - some modeling experience is helpful but not requiredStandard knowledge in the use of data sources and applications to conduct researchStrong technical aptitude, such as programming experience with Python, R, SAS, or SQL required.Working knowledge of insurance regulation and related business constraintsHas an understanding of current industry and professional standards/ environment to impact decisions and indicate requirementsCan analyze data and review analysis from others and identify and resolve basic data issuesIntermediate computer proficiency in Microsoft OfficePossesses working knowledge of policies and procedures in management or other technical fieldsStrong written and verbal communication skills including the ability to effectively collaborate with multi-disciplinary groups and all organizational levelsHigh 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 departmentStrong decision-making skillsWorks effectively in a team environment

#LI-JB1

Skills

Compensation

Compensation offered for this role is $74,240.00 - 134,060.00 annually and is based on experience and qualifications.

The candidate(s) offered this position will be required to submit to a background investigation.

Joining our team isn’t just a job — it’s an opportunity. One that takes your skills and pushes them to the next level. One that encourages you to challenge the status quo. And one where you can impact the future for the greater good.  

You’ll do all this in a flexible environment that embraces connection and belonging. And with the recognition of several inclusivity and diversity awards, we’ve proven that Allstate empowers everyone to lead, drive change and give back where they work and live. 

Good Hands. Greater Together.

Allstate generally does not sponsor individuals for employment-based visas for this position.

Effective July 1, 2014, under Indiana House Enrolled Act (HEA) 1242, it is against public policy of the State of Indiana and a discriminatory practice for an employer to discriminate against a prospective employee on the basis of status as a veteran by refusing to employ an applicant on the basis that they are a veteran of the armed forces of the United States, a member of the Indiana National Guard or a member of a reserve component.

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