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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Sr Predictive Modeling Scientist - **Company:** Orion180 Insurance Services, LLC - **Location:** Irving, TX, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Data Analysis, Microsoft Azure, Software Documentation, Python (Programming Language), SQL Databases, Cloud Platform System, Information Technology, Machine Learning Operations, Software Version Control, Data Pipelines - **Published:** July 17, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=976c7e3261d924ad ## About the Role 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. ## Description * 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., 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. ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Anomaly Detection - Using unsupervised Machine Learning for detecting anomalies in customer base](https://www.wearedevelopers.com/videos/6-anomaly-detection-using-unsupervised-machine-learning-for-detecting-anomalies-in-customer-base) - [Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases](https://www.wearedevelopers.com/videos/1146-fault-tolerance-and-consistency-at-scale-harnessing-the-power-of-distributed-sql-databases) - [Why and when should we consider Stream Processing frameworks in our solutions](https://www.wearedevelopers.com/videos/1085-why-and-when-should-we-consider-stream-processing-frameworks-in-our-solutions) - [Data Science on Software Data](https://www.wearedevelopers.com/videos/162-data-science-on-software-data) - [Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases](https://www.wearedevelopers.com/videos/1520-fault-tolerance-and-consistency-at-scale-harnessing-the-power-of-distributed-sql-databases) ## Related Articles - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [Got AI ideas but no money? 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