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Predictive Modeler Jobs in Texas (NOW HIRING)

TecTammina

Statistical Modeler

San Antonio, TX · On-site

$49.50 - $64/hr

Working with other statisticians to build predictive models and enhance various analytical products Qualifications Understand customer needs and market requirements to identify relevant analytical ...

ADDSOURCE

Snowflake Admin

Plano, TX · On-site

$52.50 - $68.25/hr

Support advanced analytics, predictive modeling, and anomaly detection initiatives. * Administer Snowflake environments across development, testing, and production. * Manage databases, schemas ...

New

Photon

AI/ML Data Scientist | Onsite

Dallas, TX · On-site

ML/AI Data Scientist - Predictive Modeling Position Overview We are seeking an experienced ML/AI Data Scientist to design, build, train, evaluate, and deploy predictive models that solve complex ...

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Predictive Modeler information

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$54

$77

How much do predictive modeler jobs pay per hour?

As of Aug 25, 2026, the average hourly pay for predictive modeler in Texas is $54.70, according to ZipRecruiter salary data. Most workers in this role earn between $49.04 and $63.61 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.

What cities in Texas are hiring for Predictive Modeler jobs?

Cities in Texas with the most Predictive Modeler job openings:

What are popular job titles related to Predictive Modeler jobs in TX?

For Predictive Modeler jobs in TX, the most frequently searched job titles are:

Predictive Modeler jobs near you
Infographic showing various Predictive Modeler job openings in Texas as of August 2026, with employment types broken down into 93% Full Time, 4% Part Time, 2% Contract, and 1% Nights. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $113,776 per year, or $54.7 per hour.

Senior Actuarial Predictive Modeler

ACSC Management Services Inc

Coppell, TX • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 18 days ago

Job description

Senior Actuarial Predictive Modeler

The Senior Actuarial Predictive Modeler creates predictive models with a primary focus on pricing segmentation and lifetime value. This role actively develops and implements actuarial pricing models and predictive segmentation strategies, applying established actuarial theory alongside advanced statistical and machine learning techniques. The Senior Actuarial Predictive Modeler works directly with loss cost models, acquisition, retention and conversion models to support accurate, competitive, and financially sound pricing decisions. The role supports complex, end-to-end pricing initiatives—from exploratory analysis and model development through governance, implementation, and monitoring. The Senior 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 executing the department objectives and delivering high-quality results.
Job Duties

  • Build and maintain predictive models using proper techniques and methodologies. Ensure solutions built meet the strategic needs of our organization as well as any regulatory or internal parameters.

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

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

  • Actively work on personal development, including enhancing modeling prowess and/or working towards actuarial designation

  • Lead and mentor team members to ensure progress with development, training, and career pathing


Qualifications

  • Bachelors Equivalent combination of education and experience Required

  • 4-6 years Experience building and deploying predictive models in an insurance environment required Required

  • 4-6 years Actuarial experience preferred Preferred

  • Bachelor'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

  • Strong communication skills

  • Ability to work in cross-functional/departmental groups

  • Associate of Casualty Actuarial Society - Casualty Actuarial Society Preferred

#LI-DF1

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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