Predictive Modeler

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. 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

Desired Skills & Experience

• Bachelor’s degree in mathematics, statistics, computer science, data mining, machine learning, physics, operations research, or a related quantitative discipline. Graduate degree and/or independent online learning a plus
• 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

Benefits

Auto-Owners offers a wide range of career opportunities, and we are seeking talent that will help us continue our long tradition of success. We offer a friendly work environment, structured training program, employee mentoring and an excellent compensation/benefits package. Along with a competitive base salary, matched 401(k), fully-funded pension plan (once vested), and bonus programs, Auto-Owners also provides generous paid time off including holidays, vacation days, personal time, and sick leave. If you’re looking to do rewarding work alongside great people, Auto-Owners is the place for you!

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