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Predictive Modeling Jobs (NOW HIRING)

Predictive modeling isn't a support function-it's a core strategic capability that helps us decide where to grow, how to price risk, how to optimize our portfolio, and how to create sustainable ...

Guides predictive analytics model development. Interfaces with customer and helps define work process. * May estimate time frames, quality and quantity of resources required to successfully implement ...

Senior Predictive Modeler

Iowa, LA · On-site +1

$120K - $200K/yr

The ideal candidate combines deep modeling expertise with strong business judgment and the ability ... Predictive Model Development: Design, develop, and optimize advanced predictive models using a ...

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Predictive Modeling information

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How much do predictive modeling jobs pay per hour?

As of Jul 24, 2026, the average hourly pay for predictive modeling 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 the highest paying modeling job?

In predictive modeling, senior data scientists and machine learning engineers typically earn the highest salaries, often exceeding six figures annually. These roles require advanced skills in statistical analysis, programming, and experience with tools like Python or R, and they are often found in industries such as finance, technology, and healthcare.

What are the key skills and qualifications needed to thrive in the Predictive Modeling position, and why are they important?

To thrive in Predictive Modeling, you need strong statistical analysis, data mining, and machine learning skills, often supported by a degree in statistics, computer science, mathematics, or a related field. Expertise with tools such as Python, R, SAS, or SQL, as well as knowledge of data visualization software, is commonly required, and certifications in data science or analytics are a plus. Strong problem-solving abilities, attention to detail, and effective communication are key soft skills for this role. Mastering these skills enables professionals to build accurate models, interpret data-driven results, and clearly communicate insights to stakeholders, which are critical for informed business decision-making.

What is a Predictive Modeling job?

A Predictive Modeling job involves using statistical techniques, machine learning algorithms, and data analysis to forecast future outcomes based on historical data. Professionals in this role build and test models to identify patterns, trends, and relationships in complex datasets. They commonly work in industries like finance, healthcare, and marketing to improve decision-making and optimize business processes. Strong skills in programming, data manipulation, and statistical analysis are essential for success in this role.

What is a predictive modeler?

A predictive modeler is a professional who develops statistical and machine learning models to forecast future outcomes based on historical data. They use tools like Python, R, or SAS and often require strong analytical skills and knowledge of data science techniques. Their work supports decision-making in various industries such as finance, marketing, and healthcare.

Is 40 too late for data science?

Predictive modeling is a key role in data science, and age is not a barrier to entering the field. Many professionals transition into data science later in their careers by developing skills in programming, statistics, and tools like Python or R, often through online courses or certifications. Success depends on your ability to learn and apply relevant skills, regardless of age.

What does a typical workday look like for someone working in predictive modeling?

A typical day in predictive modeling involves gathering and cleaning data, selecting relevant features, and building statistical or machine learning models to forecast trends or behaviors. You’ll regularly use programming languages and analytics tools to test model performance and iterate on results, while documenting findings and preparing reports for internal teams or clients. Collaboration is often required with data engineers, subject matter experts, and business leaders to ensure that models align with organizational goals. Additionally, you may be tasked with presenting your insights to both technical and non-technical audiences, making strong communication skills essential for success in this role.

What jobs will no longer exist in 2030?

Predictive modeling roles may decline as automation and AI tools increasingly handle data analysis and forecasting tasks. Jobs that involve routine, repetitive tasks are also at risk of automation, potentially reducing demand for certain administrative or manual roles. However, new jobs may emerge in AI oversight, data ethics, and advanced analytics.
More about Predictive Modeling jobs
What cities are hiring for Predictive Modeling jobs? Cities with the most 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 Predictive Modeling jobs? States with the most job openings for Predictive Modeling jobs include:
Infographic showing various Predictive Modeling job openings in the United States as of July 2026, with employment types broken down into 68% Full Time, 10% Part Time, and 22% Contract. Highlights an 67% Physical, 3% Hybrid, and 30% Remote job distribution, with an average salary of $122,123 per year, or $58.7 per hour.
Sr Predictive Modeling Scientist

Sr Predictive Modeling Scientist

Orion180

Irving, TX • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 9 days ago


Job description

At Orion180, we don't just stand out for what we do; we shine because of how we do it. Our mission is to deliver an exceptional insurance experience through innovative technology, unparalleled customer service, and a comprehensive suite of products. Our vision is to be the premier global provider of insurance solutions and redefine the insurance industry.
Orion180 is proud to call three vibrant cities home. Our headquarters on Florida's stunning Space Coast in Melbourne offers an exceptional quality of life, with affordable housing, excellent transportation, and close proximity to major cities like Orlando, Tampa, and Miami. Our Irving, Texas, office places us in a dynamic center of culture, business, and entertainment, keeping us closely connected to innovation and growth. Our Draper, Utah, location, nestled in the heart of the Salt Lake Valley, connects us to a rapidly growing tech ecosystem and provides access to the outdoor lifestyle and natural beauty the region is known for.
JOIN OUR TEAM AS A SENIOR PREDICTIVE MODELING SCIENTIST
At Orion180, we believe the future of insurance belongs to organizations that can transform data into a deeper understanding of risk. Predictive modeling isn't a support function-it's a core strategic capability that helps us decide where to grow, how to price risk, how to optimize our portfolio, and how to create sustainable competitive advantage.
As a Senior Predictive Modeling Scientist, you will play a pivotal role in helping Orion180 build and continuously refine its own view of risk. You'll develop advanced statistical and machine learning models that influence underwriting strategy, ratemaking, portfolio management, catastrophe risk assessment, claims forecasting, and business planning. Your work will help transform vast amounts of data into actionable insights that drive smarter decisions across the enterprise.
This is a unique opportunity to join a growing organization where predictive modeling has direct visibility and measurable business impact. You'll collaborate with leaders across underwriting, actuarial, claims, and risk management while helping shape the next generation of analytical capabilities that support Orion180's expansion into new markets and products.
Success in this role requires more than technical expertise. We're looking for someone who is curious, innovative, and comfortable tackling complex, ambiguous problems. Someone who can combine rigorous statistical thinking with practical business judgment, communicate insights effectively, and translate advanced analytics into strategies that improve performance and strengthen our understanding of risk.
If you're passionate about machine learning, predictive analytics, forecasting, and developing models that directly influence business outcomes, we invite you to help shape the future of insurance at Orion180.
The Senior Predictive Modeling Scientist will be a key member of Enterprise Risk Management, leading Orion180's predictive modeling initiatives as we expand into new markets and evolve our product offerings. This role is both strategic and hands-on, ideal for someone passionate about leveraging advanced analytics to drive measurable business impact across underwriting, pricing, claims, catastrophe modeling, and portfolio optimization.
WHAT YOU'LL DO:
  • Predictive Model Development - Design, implement, and deploy statistical and machine-learning models (including time-series forecasting) to support underwriting, claims, pricing, and risk segmentation.
  • Cross-Functional Collaboration - Partner with underwriting, claims, actuarial, and analytics teams to ensure models align with business objectives and regulatory requirements.
  • Visualization & Communication - Create dashboards and visualizations that translate complex model outputs into actionable insights for decision-makers.
  • Model Governance - Maintain documentation, version control, and compliance with regulatory and internal standards.
  • Innovation & Research - Stay current with industry best practices, emerging modeling techniques, and new technologies.
  • Data Pipeline & Automation - Build reproducible, scalable data pipelines and automate model monitoring, validation, and reporting processes.

WHAT WE'RE LOOKING FOR:
Education:
Master's degree in Statistics, Data Science, Mathematics, Computer Science, Actuarial Science, or a related quantitative field,
Preferred Education:
PhD in a related quantitative field (Statistics, Data Science, Mathematics, Computer Science, Actuarial Science)
Experience:
  • Demonstrated predictive modeling experience, including 4+ years of experience for candidates holding a Master's Demonstrated experience developing predictive models.
  • Proficiency in Python or R, plus SQL.
  • Strong communication skills with the ability to explain complex modeling concepts to underwriting, actuarial, and leadership stakeholders.

Preferred Experience
  • At least 1 year of relevant predictive modeling experience acquired after completion of a PhD program.
  • Knowledge of pricing models, GLMs, and regulatory considerations.
  • Experience working in cloud environments (AWS, Azure, or GCP).
  • Experience with MLOps tools (MLflow, SageMaker, Vertex AI).
  • Background in GIS, geospatial modeling, or catastrophe modeling (wildfire, flood, wind).
  • Experience with time-series forecasting for claims, exposure, or weather-driven perils.
  • Experience building scalable data pipelines and automated model monitoring.
  • Familiarity with insurance model governance and documentation standards.
  • degree, or 1+ years of experience for candidates holding a PhD.

WHAT'S IN IT FOR YOU:
Join Our Team & Make an Impact! At Orion180, we don't just meet expectations, we exceed them. If you're ready to take your career to the next level and be part of a growing, forward-thinking company, apply today!
  • Dynamic Environment: On-site role with a fast-paced and collaborative team culture. Results-driven office where your contributions make a real impact.
  • Compensation: Competitive base pay and performance bonuses.
  • Career Growth: Mentorship, growth tracks, and professional development.
  • Benefits: Medical, dental, vision, 401k, paid holidays, PTO and more!

The office environment is fast-paced and collaborative. An employee must be willing and able to work their regularly assigned work schedule onsite, and in times of need, be able to work an extended schedule depending on company or departmental needs, project requirements, or customer demands.
While performing general duties for this position, the employee is regularly required to sit, stand, and/or walk around (including the use of stairs). Other demands include the ability to openly communicate with others by talking, listening, comprehending, and reading; being able to lift light objects (<25 lbs); and using standard office equipment such as computers, printers, and phones. In addition, there is an occasional need to bend, twist, or squat down to open/close cabinets and reach for files or other standard office-type objects.
Orion180 is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.
Reasonable accommodations are available for qualified individuals with disabilities during the application process. Applicants who need accommodations may email hr@orion180.com to request assistance.