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Location
In office (Lansing)
Seniority
Intern · 2+ years exp
Visa
No sponsorship (stated in the posting)
Employment
Internship

Confirmed on the employer's own hiring board on Oct 25, 2026. First seen by Alion on Aug 26, 2026. Auto-Owners Insurance scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Auto-Owners Insurance is a mutual insurance group headquartered in Lansing, Michigan, that sells life, home, car and business insurance through a network of local independent agents. Founded in 1916, the company has appeared on the Fortune 500 list since 2002 and runs regional and claims offices across many states, including South Carolina, Missouri, Georgia, Ohio, Utah, Florida, Minnesota and North Carolina. It hires personal and commercial lines underwriters, auto and casualty claims representatives, nurse consultants, attorneys for contract review and data privacy, underwriting support staff, mail operators and summer legal and claims interns.

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 Data Engineering intern to join our team this summer. The position analyzes data processes and the needs of users and stakeholders; develops project plans; and designs, implements, and manages data quality, data reporting, and governance solutions. The position requires the person to:

  • Work with project stakeholders to identify business requirements and expected outcomes.
  • Create, evaluate, and summarize data assets in a form acceptable for use within the Company or outside the Company, including use by government bureaus, agencies, and others.
  • Evaluate and complete regulatory data requests in an accurate and timely manner.
  • Understand data sources and the data lineage of various computer systems in the Company.
  • Build, maintain, and document code used to transform, aggregate, and analyze data.
  • Create and enhance data extracts and analyses to support data reporting functions and inquiries.
  • Evaluate the reliability of sources of data, investigate data integrity, identify data problems, and provide technical expertise for ensuring data quality, while promoting understanding within the Division.
  • Assist with training and mentoring of other associates.
  • Contribute to and promote the peer review process, verify work completed by others, and develop other quality control measures

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 statistics, computer science, data mining, machine learning, mathematics, physics, operations research, or a related quantitative discipline, and have at least two years of coursework completed. Master’s students are also considered if graduation is August 2027 or later.
  • Successful completion of actuarial exams or other Company approved courses is preferred. These requirements may be waived or changed, at Company discretion, based on prior education and/or experience.
  • Ability to apply mathematical, statistical, and programming concepts and procedures to analyze and solve complex insurance processes.
  • Demonstrate strong analytical reasoning, problem solving, technical writing, and collaboration and presentation skills.
  • Exhibit high level of initiative, motivation, organization, and leadership.
  • Ability to lead projects and coordinate among diverse stakeholders.
  • Ability to mentor by sharing knowledge and challenging others to grow their skill sets.
  • Ability to work effectively with others at all levels.

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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