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Internship Predictive Modeling Jobs (NOW HIRING)

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How much do internship predictive modeling jobs pay per hour?

As of Sep 10, 2026, the average hourly pay for internship predictive modeling in the United States is $17.31, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $19.23 per hour, depending on experience, location, and employer.

What is the difference between Internship Predictive Modeling vs Data Analyst?

AspectInternship Predictive ModelingData Analyst
Required CredentialsTypically pursuing or recent graduate in data science, statistics, or related fieldsOften holds a degree in statistics, mathematics, or related disciplines
Work EnvironmentInternship setting, often in tech, finance, or marketing companiesFull-time or part-time roles in various industries including finance, healthcare, and retail
Employer & Industry UsageUsed in companies focusing on developing predictive models and machine learning applicationsCommon in organizations analyzing data trends, reporting, and decision-making

Internship Predictive Modeling focuses on developing and applying models to forecast outcomes, often as part of an internship program. Data Analysts interpret data, generate reports, and support business decisions. While both roles require analytical skills, predictive modeling emphasizes machine learning and statistical modeling, whereas data analysis centers on data interpretation and visualization.

What cities are hiring for Internship Predictive Modeling jobs?

Cities with the most Internship Predictive Modeling job openings:

What are the most commonly searched types of Predictive Modeling jobs?

The most popular types of Predictive Modeling jobs are:

What states have the most Internship Predictive Modeling jobs?

States with the most job openings for Internship Predictive Modeling jobs include:

What other helpful pages are available for Internship Predictive Modeling?

Other pages related to Internship Predictive Modeling:

Predictive Modeler Intern - Summer 2027

Lansing, MI

Auto Owners Insurance Company
Insurance Services • 5 - 10K employees

Part-time

Posted 20 days ago


Auto-Owners Insurance rating

9.2

Company rating: 9.2 out of 10

Based on 35 frontline employees who took The Breakroom Quiz


Job description

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 clusteringand 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.

#LI-DNI #IN-DNI


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