> Markdown version of [/jobs/ext/1318349-sr-predictive-modeling-scientist](https://www.wearedevelopers.com/jobs/ext/1318349-sr-predictive-modeling-scientist). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Sr Predictive Modeling Scientist - **Company:** Orion180 Insurance Services, LLC - **Location:** Melbourne, FL, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Data Analysis, Microsoft Azure, Software Documentation, Python (Programming Language), Machine Learning, 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=60988f95c423d886 ## 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) - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [The Best Large Language Models on The Market](https://www.wearedevelopers.com/magazine/319-the-best-large-language-models-on-the-market) - [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)