Senior Actuarial Data Scientist (Hybrid)

offered for eligible candidates.

Responsibilities:

• Uses actuarial and technical knowledge to manage complex projects as assigned in such areas as product development and pricing.

• Creates business application and modeling framework, for new datasets, and discovers insights and relationships from large/complex datasets through investigative research using advanced mathematical and/or statistical techniques.

• Explores data using a variety of advanced statistical techniques to proactively identify relationships, create insights and answer business questions or guide future model development.

• Builds the hypothesis, identify research data attributes and determine best approach to address business issues.

• Combines business/actuarial acumen with mathematical capabilities to build complex predictive models to support business objectives.

• Builds complex programs for running mathematical or statistical tests on data and for understanding complex relationships across attributes.

• Incorporates findings and provides industry and competitor insights as part of model development and enhancement.

• Researches and maintains awareness of industry best practices and business strategies.

• Brings new and innovative ideas and approaches to develop business solutions.

• Maintains standard documentation on assigned projects/tasks.

• Consults with other departments by answering inquiries and providing explanations of an business/actuarial nature.

• May be requested to complete other assignments or participate in projects based upon skills, achievements, or experience.

Requirements:

• Deployed and monitored predictive models in production (preference for GLM/GBM), partnering with actuarial and engineering teams to ensure scalable, governed, and repeatable pricing/reserving workflows.

• Advanced programming proficiency with a strong preference for Python; build robust, tested analytics pipelines and model code for end-to-end actuarial use cases (data prep, modeling, validation, and automation).

• Preferred experience in designing and deploying AI/ML solutions to solve business problems, demonstrating a pragmatic approach to solution-selection and an understanding of when a non-AI approach is optimal.

• Demonstrated experience providing customer-driven solutions, support or service.

• Ability to work as part of a team and to communicate effectively.

• Proficiency in programming languages suitable for database access, scripting, statistical analysis, and system development.

• Understanding of software development best practices including source control, coding standards and testing frameworks.

• Demonstrated experience formulating, approaching, and solving complex analytical problems using a quantitative, scientific approach.

• Demonstrated experience working with large, complex datasets using big data technologies and script.

• Solid knowledge and understanding managing data to scale using data summarization, query and analysis software and tools.

Additional Information

• Offer to selected candidate will be made contingent on the results of applicable background checks

• Offer to selected candidate is contingent on signing a non-disclosure agreement for proprietary information, trade secrets, and inventions

• Sponsorship will not be considered for this position unless specified in the posting

Licenses:
• Not Applicable.

Travel Requirements
• Up to 10%.

Physical Requirements
• Work that primarily involves sitting/standing.

Working Conditions
• Not Applicable.

We provide benefits that support your physical, emotional, and financial wellbeing. You will have access to comprehensive medical, dental, vision and wellbeing benefits that enable you to take care of your health. We also offer a competitive 401(k) contribution, a pension plan, an annual incentive, 9 paid holidays and a paid time off program (23 days accrued annually for full-time employees). In addition, our student loan repayment program and paid-family leave are available to support our employees and their families. Interns and contingent workers are not eligible for American Family Insurance Group benefits.

We are an equal opportunity employer. It is our policy to comply with all applicable federal, state and local laws pertaining to non-discrimination, non-harassment and equal opportunity. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law.

American Family Insurance is committed to the full inclusion of all qualified individuals. If a reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please email [email protected] to request a reasonable accommodation.

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