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Predictive Modeler Jobs (NOW HIRING)

Auto-Owners Insurance

Predictive Modeler

Lansing, MI · On-site

$55.50 - $72/hr

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 ...

LegalMatch.com

Predictive Analytics Modeler

Reno, NV · On-site

$54.50 - $70.75/hr

The Predictive Analytics Modeler will focus on developing solutions throughout the organization to help drive strategic decisions for operations. The modeler will work on a wide variety of challenges ...

LegalMatch.com

Predictive Analytics Modeler

Reno, NV · On-site

$54.50 - $70.75/hr

The Predictive Analytics Modeler will focus on developing solutions throughout the organization to help drive strategic decisions for operations. The modeler will work on a wide variety of challenges ...

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How much do predictive modeler jobs pay per hour?

As of Jun 1, 2026, the average hourly pay for predictive modeler in the United States is $58.71, according to ZipRecruiter salary data. Most workers in this role earn between $52.64 and $68.27 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Predictive Modeler, and why are they important?

To thrive as a Predictive Modeler, you need a strong background in statistics, mathematics, and data analysis, often supported by a degree in a quantitative field such as statistics, mathematics, or computer science. Familiarity with programming languages like Python or R, experience with machine learning frameworks, and knowledge of data visualization tools are typically required. Analytical thinking, problem-solving, and effective communication are standout soft skills for translating complex data into actionable insights. These skills and qualities are crucial for building accurate models that drive informed business decisions and add strategic value.

How does a Predictive Modeler typically collaborate with data scientists and business stakeholders during a project?

Predictive Modelers work closely with data scientists to ensure that models are statistically sound and meet technical requirements, often sharing insights on data preprocessing and feature engineering. They also collaborate with business stakeholders to understand project goals, translate business problems into analytical tasks, and explain model outcomes in accessible terms. Regular communication and feedback loops help ensure that the developed models align with business objectives and deliver actionable insights. This collaborative approach is essential for successful project delivery and for ensuring that predictive solutions provide real value.

What are predictive modelers?

Predictive modelers are professionals who use statistical techniques, machine learning, and data analysis to develop models that forecast future outcomes based on historical data. They work in various industries, such as finance, healthcare, and marketing, to help organizations make data-driven decisions and anticipate trends or risks. Predictive modelers typically use tools like Python, R, or specialized software, and their work can involve data cleaning, selecting appropriate algorithms, and validating model performance. Their insights help businesses optimize processes, reduce costs, and improve customer satisfaction.

What is the difference between Predictive Modeler vs Data Analyst?

AspectPredictive ModelerData Analyst
Required CredentialsBachelor's or Master's in Statistics, Data Science, or related fields; often certifications in modeling or analyticsBachelor's in Statistics, Data Analysis, or related fields; certifications in data visualization or analysis tools
Work EnvironmentData science teams, analytics departments, often in tech, finance, or healthcare industriesBusiness units, marketing, finance, or operations teams across various industries
Employer & Industry UsageUsed for building predictive models to forecast trends and behaviorsUsed for interpreting data, generating reports, and providing insights

While both roles analyze data, Predictive Modelers focus on creating models to forecast future outcomes, whereas Data Analysts interpret existing data to inform decisions. Predictive Modelers typically require advanced statistical skills and modeling expertise, making their role more specialized in predictive analytics.

More about Predictive Modeler jobs
What cities are hiring for Predictive Modeler jobs? Cities with the most Predictive Modeler job openings:
What states have the most Predictive Modeler jobs? States with the most job openings for Predictive Modeler jobs include:
What are popular job titles related to Predictive Modeler jobs? For Predictive Modeler jobs, the most frequently searched job titles are:
Predictive Modeler jobs near you
Infographic showing various Predictive Modeler job openings in the United States as of May 2026, with employment types broken down into 94% Full Time, 4% Part Time, 1% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $122,123 per year, or $58.7 per hour.

Predictive Modeler

Auto Owners Insurance Company

Lansing, MI • Hybrid

$55.50 - $72/hr

Full-time

Retirement, PTO

Posted 15 days ago

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

We offer a merit-based work-from-home program based on job responsibilities.After initial training in-person, this specific role could have the flexibility to work from home up to 3 days per week.

Please note we are not currently hiring fully remote positions.

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

Desired Skills & Experience

  • 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

Compensation/Benefits

The salary offered will be commensurate with skills and experience.

We offer a friendly, hybrid work environment with primary work from home ability and monthly opportunities for team overlap in the office.

Along with a competitive base salary, our excellent benefits package includes a matched 401(k), fully-funded pension plan (once vested), bonus programs, student loan assistance, gym cost reimbursement, and generous paid time off including holidays, vacation days, personal time, and sick leave. We also offer structured education & training programs, mentoring, and opportunities for advancement and lateral movement to help you progress through your career. 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.

#LI-BK1 #LI-Hybrid

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