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Predictive Modeler Jobs (NOW HIRING)

AAA

Lead Actuarial Predictive Modeler

Costa Mesa, CA · On-site

$145K - $194K/yr

Lead Actuarial Predictive Modeler The Lead Actuarial Predictive Modeler creates predictive models with a primary focus on pricing segmentation and lifetime value. This role actively designs, develops ...

Cincinnati Insurance Company

$120K - $200K/yr

Build your future with us Our commercial & operations modeling department is currently seeking an experienced predictive modeler. This role is responsible for developing and maintaining multivariate ...

New

MeridianLink

Predictive Analytics Consultant

$69K - $110K/yr

The position will focus on building, testing, validating, and deploying predictive and optimization models that support credit underwriting decisions in AWS. The ideal candidate will possess deep ...

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How much do predictive modeler jobs pay per hour?

As of Sep 14, 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 is a predictive modeler?

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.

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 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.

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.

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Predictive Modeler jobs near you
Infographic showing various Predictive Modeler job openings in the United States as of September 2026, with employment types broken down into 2% Internship, 92% Full Time, 4% Part Time, 1% Contract, and 1% Nights. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $122,123 per year, or $58.7 per hour.

Lead Actuarial Predictive Modeler

Coppell, TX • On-site

ACSC Management Services Inc
See more jobs at ACSC Management Services Incexternal

Full-time

Medical, Dental, Vision, Retirement, PTO

This job post has expired today. Applications are no longer accepted.

Job description

Lead Actuarial Predictive Modeler

The Lead Actuarial Predictive Modeler creates predictive models with a primary focus on pricing segmentation and lifetime value. This role actively designs, develops, and implements actuarial pricing models and predictive segmentation strategies, applying established actuarial theory alongside advanced statistical and machine learning techniques. The Lead Actuarial Predictive Modeler works directly with loss cost models, including developing new rating features as well as acquisition, retention and conversion models to support accurate, competitive, and financially sound pricing decisions. This role drives complex, end-to-end pricing initiatives—from exploratory analysis and model development through governance, implementation, and monitoring. The Lead Actuarial Predictive Modeler partners closely with Actuarial, Product, Underwriting, and IT teams to translate business objectives into actuarially defensible pricing solutions, ensure regulatory compliance, and support timely rate filings. This position is deeply involved in execution, managing accelerated timelines, maintaining pricing discipline, and leading the delivery of high-quality results.
Job Duties

  • Personally build predictive models with focus on the most difficult and complex projects. Ensure solutions built meet the strategic needs of our organization as well as any regulatory or internal parameters.

  • Lead design of models best-suited for specific tasks and ensure analytic efforts are executed correctly. Create execution plans and assist predictive modelers in building robust and predictive models.

  • Identify and propose new technologies and tools that could benefit the Predictive Modeling and Analytics business unit.

  • Lead communication of project results/challenges to business partners in ways they can understand. Proactive communication of delays to planned efforts.

  • Mentor team members to assist with development, training, and career pathing

  • Ensure all projects have proper documentation taking into account potential regulatory, legal, or business concerns.

  • Able to act autonomously. The Senior Modeler must have an advanced knowledge of ratemaking, actuarial methods and methodologies as well as predictive modeling and data science methods and how those methods can be properly applied across different projects.


Qualifications

  • Masters Equivalent combination of education and experience Required

  • 7-9 years Experience building and deploying predictive models in an insurance environment required

  • 7-9 years Actuarial Experience preferred Preferred

  • Master's degree in Actuarial, Statistical, or Data Science field (or equivalent combination of education and experience) required

  • Demonstrated success implementing predictive modeling solutions for insurance use cases

  • Strong SQL skills

  • Strong Python skills preferred with other modeling tools and softwares a plus

  • Ability to understand the big picture and drive the initiatives the lead to completion of the overall big picture

  • Ability to work in cross-functional/departmental groups and keep multiple moving pieces straight

  • Ability to communicate complex topics clearly to business leaders

  • Mentor and assist predictive modelers in their respective functions and responsibilities.

  • Fellow of Casualty Actuarial Society - Casualty Actuarial Society Preferred

  • Associate of Casualty Actuarial Society - Casualty Actuarial Society Preferred

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Remarkable benefits:

•    Health coverage for medical, dental, vision

•    401(K) saving plans with company match AND Pension    

•    Tuition assistance

•    Floating holidays and PTO for community volunteer programs

•    Paid parental leave

•    Wellness programs

•    Employee discounts (membership, insurance,

travel, entertainment, services and more!)

Auto Club Enterprises is the largest club within the national AAA federation. We have nearly 17,000 employees in 24 states helping more than 18 million members. The strength of our organization is our employees. Bringing together and supporting different cultures, backgrounds, personalities, and strengths creates a team capable of delivering legendary, lifetime service to our members. When we embrace our diversity – we win. All of Us! With our national brand recognition, long-standing reputation since 1900, and constantly growing membership, we are seeking career-minded, service-driven professionals to join our team.

"Through dedicated employees we proudly deliver legendary service and beneficial products that provide members peace of mind and value.”

AAA is an Equal Opportunity Employer

Our organization participates in E-Verify

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