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Orion180 Insurance Co

Sr Predictive Modeling Scientist

Orion180 Insurance Co, Irving, Texas, United States, 75084

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ABOUT THE ROLE:

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 two 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, location places us in a dynamic center of culture, business, and entertainment, keeping us deeply connected to innovation and growth. WHAT YOU’LL DO:

Predictive Model Development:

Design, implement, and deploy models using statistical and machine learning methods (including time series forecasting) to support underwriting, claims, and pricing strategies. Data Pipeline & Automation:

Develop and maintain reproducible, scalable data pipelines and automate model monitoring and reporting processes. Cross-Functional Collaboration:

Work closely with underwriting, claims, actuarial, and analytics teams to align models with business objectives and regulatory requirements. Visualization & Communications:

Build dashboards and visualizations that translate complex model outputs into actionable insights for decision-makers. Model Governance:

Ensure proper documentation, version control, and compliance with regulatory and internal standards. Innovation & Research:

Stay current with industry best practices, new modeling techniques, and emerging technologies to keep Orion180 at the forefront of predictive analytics. WHAT WE’RE LOOKING FOR:

Advanced degree (MS or PhD) in Statistics, Data Science, Mathematics, Computer Science, Actuarial Science, or related field. 5+ years of predictive modeling experience, ideally within insurance or financial services. Proficiency in Python, R, SQL, and machine learning libraries (e.g., scikit-learn, XGBoost, TensorFlow). Experience with cloud platforms (AWS, Azure, or GCP) and MLOps frameworks. Strong understanding of actuarial principles, pricing methodologies, and regulatory requirements. Excellent communication skills with the ability to explain technical concepts to non-technical stakeholders. QGIS, GIS-based modeling, or catastrophe modeling experience is a plus. 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: M entorship, growth tracks, and professional development. Benefits: Medical, dental, vision, 401k, paid holidays, PTO and more! 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 ( The office environment is fast-paced and collaborative. An employee must be willing and able to work their regularly assigned work schedule and, in times of need, be able to work an extended schedule depending on company or departmental needs, project requirements, or customer demands. 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 call (321)-218-2473 to request assistance.

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