Auto-Owners Insurance
Predictive Modeler Intern - Summer 2027
Skills
2 months ago
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Important information
Contract type:
Part time
Location:
Lansing, MI, USA
Work mode:
Onsite
Published on:
3 September 2026
What they need
A career at Auto-Owners is challenging and rewarding. Our group of caring associates create financial security by helping individuals and businesses make a new start when a loss occurs.
Job Description
Auto-Owners Insurance, a top-rated insurance carrier, is seeking a motivated individual to join our Actuarial Division as a Predictive Modeler Intern. The position requires the person to:
- Create data files to be used in modeling software
- Build and evaluate predictive models using modeling software
- Present predictive model proposals for peer review and business approval
- Create specifications for and coordinate implementation of predictive models
- Occasionally perform ad-hoc reporting to answer specific inquiries from upper management
This internship has full-time hours (Monday through Friday) and is in-person in Lansing, Michigan. Interns choose their start and end dates. Most join in mid-May and stay until mid-August.
Desired Skills & Experience
- Student must be working toward a bachelor’s in mathematics, statistics, computer science, data mining, machine learning, physics, operations research, or a related quantitative discipline, having at least two years of coursework completed. Master’s students are also considered if graduation is August 2027 or later.
- An understanding of statistical and predictive modeling concepts, especially clustering and classification techniques
- High aptitude for programming languages
- A desire to learn new things
- Ability to adapt to constant change and innovation
- Knowledge of SQL, Python, or R is a plus
Equal Employment Opportunity
Auto-Owners Insurance is an equal opportunity employer. The Company hires, transfers, and promotes on the basis of ability, without consideration of disability, age, sex, race, color, religion, height, weight, marital status, sexual orientation, gender identity or national origin, or any factor contrary to federal, state or local law.
*Please note that the ability to work in the U.S. without current or future sponsorship is a requirement.
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