Senior Actuarial Data Scientist (Hybrid)

American Family Insurance•Boston, MA

4d•$113,000 - $194,000•Hybrid

About The Position

As a Senior Actuarial Data Scientist at American Family Insurance, you will analyze and model operational, economic, financial, and organizational data. This data analysis will help quantify competitive performance, evaluate the impact of operational changes, and develop data-driven strategies and solutions to complex business problems. Depending on the candidate pool, this position may be filled at a lower level to maintain alignment with experience and qualifications. You will report to The Senior Manager Predictive Analytics. Position Compensation Range: $113,000.00 - $194,000.00 Pay Rate Type: Salary Compensation may vary based on the job level and your geographic work location. Relocation support is offered for eligible candidates.

Requirements

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.

Nice To Haves

Background in data science (e.g., statistical modeling, machine learning, and data visualization) with experience using Python/R and SQL.
Some P&C insurance experience.
Model Implementations using machine learning/statistical methods and end-to-end modeling best practices (cleaning/imputation, selection, evaluation, tuning) plus strong coding standards (organization, unit testing).
GLMs, tree-based methods (GBM/RF).

Responsibilities

Build modeling frameworks and predictive models for new datasets using advanced analytics.
Explore data to test hypotheses, identify important causes, and answer business questions.
Develop and run statistical programs/tests to analyze complex relationships.
Incorporate industry/competitor insights, stay current on best practices, and propose innovative solutions.
Research and maintain awareness of insurance industry best practices and our strategies.