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From Home Predictive Modeling Jobs (NOW HIRING)

Orion180 is proud to call three vibrant cities home. Our headquarters on Florida's stunning Space ... Predictive modeling isn't a support function-it's a core strategic capability that helps us decide ...

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 ... Employees who live within 30 miles of the TMG home office are expected to follow a hybrid or in ...

Predictive Modeler

Lansing, MI · Hybrid

$55.50 - $72/hr

We offer a merit-based work-from-home program based on job responsibilities.After initial training ... An understanding of statistical modeling or data science concepts, especially clustering ...

Predictive Modeler

Lansing, MI · On-site

$55.50 - $72/hr

We offer a merit-based work-from-home program based on job responsibilities. After initial training ... An understanding of statistical modeling or data science concepts, especially clustering ...

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 ...

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From Home Predictive Modeling information

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How much do from home predictive modeling jobs pay per hour?

As of Aug 1, 2026, the average hourly pay for from home predictive modeling in the United States is $59.65, according to ZipRecruiter salary data. Most workers in this role earn between $54.57 and $69.23 per hour, depending on experience, location, and employer.

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

To thrive as a Work-from-Home Predictive Modeler, you need strong statistical analysis skills, proficiency in programming languages like Python or R, and typically a degree in statistics, mathematics, data science, or a related field. Experience with machine learning frameworks, data visualization tools, and familiarity with cloud-based platforms (such as AWS or Azure) are highly valued, along with certifications in data science or analytics. Exceptional problem-solving abilities, attention to detail, and effective remote communication skills help set outstanding professionals apart. These skills ensure the accurate development and communication of predictive models that drive data-driven decision-making in a remote work environment.

What is a work from home predictive modeling job?

A work from home predictive modeling job involves using statistical techniques, machine learning, and data analysis to build models that forecast future outcomes based on historical data—all performed remotely. Professionals in this field analyze data sets, select appropriate algorithms, and create models to help inform business decisions or predict trends. These roles are common in industries like finance, healthcare, marketing, and insurance. Working remotely allows predictive modelers to collaborate with teams virtually, using specialized software and cloud-based tools.

What is the difference between From Home Predictive Modeling vs From Home Data Analysis?

AspectFrom Home Predictive ModelingFrom Home Data Analysis
CredentialsTypically requires a degree in statistics, data science, or related fields; certifications in predictive analytics are commonRequires similar credentials, often with a focus on data analysis, statistics, or business intelligence
Work EnvironmentRemote, often collaborative with data science teams, using modeling tools and programming languagesRemote, involves analyzing datasets, creating reports, and visualizations, often using Excel, SQL, or BI tools
Industry UsageUsed in finance, marketing, healthcare for forecasting and decision-makingApplied across industries for insights, reporting, and data-driven strategies

From Home Predictive Modeling focuses on building models to forecast future outcomes, while From Home Data Analysis emphasizes examining data to generate insights and reports. Both roles often require similar skills and credentials but differ in their primary objectives and tools used.

What are the typical collaboration methods for remote predictive modeling professionals working from home?

Remote predictive modeling professionals often collaborate through virtual meetings, shared data platforms, and cloud-based modeling tools. Effective communication with data engineers, analysts, and business stakeholders is essential, typically facilitated via video calls, chat apps, and project management systems. Regular check-ins and shared documentation help ensure alignment on project goals, model assumptions, and results. While working independently is common, there is a strong emphasis on teamwork and timely feedback to drive successful model deployment and refinement.
More about From Home Predictive Modeling jobs
What cities are hiring for From Home Predictive Modeling jobs? Cities with the most From Home 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 From Home Predictive Modeling jobs? States with the most job openings for From Home Predictive Modeling jobs include:
What job categories do people searching From Home Predictive Modeling jobs look for? The top searched job categories for From Home Predictive Modeling jobs are:
Infographic showing various From Home Predictive Modeling job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 72% Full Time, 23% Part Time, and 4% Contract. Highlights an 93% Physical, 1% Hybrid, and 6% Remote job distribution, with an average salary of $124,065 per year, or $59.6 per hour.

Sr Predictive Modeling Scientist

Orion180

Irving, TX • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 17 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.