Sr Predictive Modeler Job Listing at Allstate Insurance Company in Northbrook, IL (Job ID UNI02721)

Insurance

Description This is an opportunity for a creative data scientist to use your machine learning, statistics, data mining, and analytic skills to influence the decision making of a Fortune 100 company.  The Rating Plan Development team (RPD) is responsible for identifying and developing pricing opportunities that will enable Allstate to generate profitable market-share growth.    RPD currently has multiple openings, from entry-level to experienced predictive modelers.  Key Responsibilities and Knowledge/Skills listed below span the entire predictive modeling career track, and candidates will be considered for the position that best matches their skills and experience.   The Allstate Corporation (NYSE: ALL) is the nation’s largest publicly held personal lines insurer, known for its “You’re In Good Hands With Allstate®” slogan. Now celebrating its 80th anniversary as an insurer, Allstate is reinventing protection and retirement to help nearly 16 million households insure what they have today and better prepare for tomorrow.  

The position will be responsible for

·          Creating and/or contributing to best-in-class predictive models taking into account business constraints.

·          Helping to shape best practices around application of statistical modeling.

·          Mentoring new hires, transferring knowledge to peers, and communicating results outside the department.

·          Leading and/or implementing projects that yield actionable insights the broader business can use to increase customer satisfaction, policy growth and retention, and loss experience

Qualifications Knowledge/Skills/Abilities/Experience (In order of preference) ·         Proven ability to build predictive models, taking projects from idea to implementation. ·         Solid skills and training in statistical modeling, machine learning, data mining, or related field (for example: Generalized Linear Models, Boosting, Decision Trees, Neural Networks, SVM, Bayesian Methods, Ensemble methods, etc.). ·         Excellent computer skills, including strong programming skills in any language.

• Ability to concentrate on loosely defined problems which require application of creative approaches.

·         Ability to transfer knowledge to a variety of audiences. ·         Understanding of algorithmic complexity and scaling of run time and memory usage with larger datasets ·         Solid knowledge linear algebra and convex optimization techniques. ·         Experience tackling large data (for example: familiarity with tools such as Hadoop or MapReduce).  Experience Required: (type of experience and number of years required)
2+ years of experience in a predictive modeling role; Experience in the insurance industry preferred.   Education: Graduate degree strongly preferred; Actuarial designation (ACAS/FCAS) a plus but not required.
Major preference: Machine Learning, Statistics, Computer Science, or related field.