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# Predictive Modeler

- **Company:** Auto-Owners Insurance
- **Location:** Lansing, MI, United States (Remote available)
- **Contract:** Permanent contract
- **Skills:** Big Data, Data Structures, R (Programming Language), Python (Programming Language), Machine Learning, SQL Databases, Information Technology, Programming Languages
- **Published:** September 9, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=5ac0672f3396ed30

## About the Role

* Bachelor's degree (or equivalent experience) in a quantitative discipline (e.g. Mathematics, Statistics, Computer Science, Physics, Operations Research, Economics, Electrical Engineering, etc.)
 * Outstanding problem solving and critical thinking skills
 * An understanding of statistical modeling or data science concepts, especially clustering, regression, and classification techniques.
 * Aptitude and willingness to learn new things
 * Strong communication skills and ability to work as part of a team
 * (Preferred) Proficiency with common coding languages (Python, R, SQL, etc.)
 * (Preferred) Advanced degree in a quantitative discipline
 * (Preferred) Professional experience building models with large data sets

## Description

Auto-Owners Insurance, a top-rated insurance carrier, is seeking a predictive modeler to join our analytics teams. The position requires the person to:

 * Use statistical or machine learning techniques to build models that address business needs and comply with regulatory requirements
 * Work with large, complex data sets and develop a working knowledge of Auto-Owners data structures and metrics
 * Conduct ad-hoc analysis and present results clearly at multiple-levels of stakeholders through visual displays of quantitative information
 * Create clear and easy to understand documentation for models
 * Monitor model performance and implement iterative improvements