Insurance Visa Sponsorship Jobs in Florida
Florida's insurance industry offers significant visa sponsorship opportunities, with major employers like State Farm, Progressive, and Allstate maintaining substantial operations in Tampa, Jacksonville, and Miami. The state's position as a hurricane-prone region drives demand for risk assessment specialists, catastrophe modelers, and claims adjusters with specialized expertise.
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Get Access To All JobsWho is Cover Whale?
Cover Whale is the nation’s leading commercial trucking insurtech. We improve road safety by combining the insurance products we sell with our telematics-based, data-driven driver coaching and safety program known as DriveSmart. Our program is proven to save lives while delivering better insurance for our drivers. Join us in the mission!
The Role: We are seeking a highly analytical, technically strong Actuarial/Data Science professional to own and evolve our end-to-end reserving and predictive modeling capabilities. This role will maintain and enhance our Python-based reserving models while building predictive models using live telematics and claims data to drive pricing, cancellation strategy, and large loss detection. The position sits at the core of our underwriting and growth strategy, directly influencing dynamic pricing, loss ratio performance, and profitable expansion. This is a very exciting and high-impact job that involves a lot of thinking, research, and creativity.
Responsibilities:
- Own and continuously improve the end-to-end reserving process, including maintaining and enhancing Python-based reserving models to improve accuracy and efficiency.
- Develop and deploy predictive models using telematics, claims, and policy data to improve pre-bind and post-bind risk selection, with measurable impact on ULR and cancellation performance.
- Build and refine large loss models using claims notes and historical data to improve early identification of high-risk claims.
- Design and implement dynamic pricing frameworks and capabilities leveraging live market and portfolio data.
- Translate complex data insights into clear actionable business recommendations for underwriting, growth, and leadership teams.
- Produce carrier-level reporting deliverables and analytical outputs that meet high-quality and compliance standards.
- Create agency-level and geographic performance insights to guide growth strategy and strategic initiatives.
- Automate recurring analyses and reporting workflows to increase speed, scalability, and reliability.
Requirements
- Experience with insurance analytics, actuarial modeling, or predictive risk modeling in the insurance industry.
- Strong proficiency in Python for statistical modeling and data analysis.
- Comfortable leveraging AI-assisted coding tools (Claude, Copilot, etc.) while critically validating outputs.
- Experience working with large-scale datasets and building production-grade analytical models.
- Demonstrated experience with actuarial reserving models or insurance forecasting methodologies.
- Experience applying machine learning techniques such as regression models, gradient boosting, classification models, or anomaly detection.
- Ability to design models that influence pricing, underwriting decisions, and portfolio risk management.
- Strong SQL and data manipulation skills.
- Experience building automated analytical pipelines or reporting workflows.
Soft skills: Curious, hard-working, thinking outside of the box, creative, attention to detail, and use of Claude code.
Preferred Qualifications: Actuary, Mathematics, Big Four consulting experience.
Candidates advancing through the interview process may be asked to complete a brief work exercise related to predictive modeling and risk analysis. The exercise is designed to reflect real-world challenges relevant to the role. Candidates completing this step will receive reasonable compensation for their time.
Benefits Compensation:
The Expected base pay for the role will be $128,000 - $192,000 at the commencement of employment. However, base pay if hired will be determined on an individualized basis and is only part of the total compensation package, which, depending on the position, may also include discretionary bonus and other Cover Whale-sponsored total rewards/benefits.
Perks/Benefits:
- Health Care Plan (Medical, Dental & Vision)
- Retirement Plan (401k) match
- Wellness benefits, including EAP, Gym Reimbursement, etc.
- Life Insurance (Basic, Voluntary & AD&D)
- Paid Time Off (Vacation, Sick & Public Holidays)
- Paid Family Leave (Maternity, Paternity)
- Tuition Assistance
- Professional Training & Development
Who is Cover Whale?
Cover Whale is the nation’s leading commercial trucking insurtech. We improve road safety by combining the insurance products we sell with our telematics-based, data-driven driver coaching and safety program known as DriveSmart. Our program is proven to save lives while delivering better insurance for our drivers. Join us in the mission!
The Role: We are seeking a highly analytical, technically strong Actuarial/Data Science professional to own and evolve our end-to-end reserving and predictive modeling capabilities. This role will maintain and enhance our Python-based reserving models while building predictive models using live telematics and claims data to drive pricing, cancellation strategy, and large loss detection. The position sits at the core of our underwriting and growth strategy, directly influencing dynamic pricing, loss ratio performance, and profitable expansion. This is a very exciting and high-impact job that involves a lot of thinking, research, and creativity.
Responsibilities:
- Own and continuously improve the end-to-end reserving process, including maintaining and enhancing Python-based reserving models to improve accuracy and efficiency.
- Develop and deploy predictive models using telematics, claims, and policy data to improve pre-bind and post-bind risk selection, with measurable impact on ULR and cancellation performance.
- Build and refine large loss models using claims notes and historical data to improve early identification of high-risk claims.
- Design and implement dynamic pricing frameworks and capabilities leveraging live market and portfolio data.
- Translate complex data insights into clear actionable business recommendations for underwriting, growth, and leadership teams.
- Produce carrier-level reporting deliverables and analytical outputs that meet high-quality and compliance standards.
- Create agency-level and geographic performance insights to guide growth strategy and strategic initiatives.
- Automate recurring analyses and reporting workflows to increase speed, scalability, and reliability.
Requirements
- Experience with insurance analytics, actuarial modeling, or predictive risk modeling in the insurance industry.
- Strong proficiency in Python for statistical modeling and data analysis.
- Comfortable leveraging AI-assisted coding tools (Claude, Copilot, etc.) while critically validating outputs.
- Experience working with large-scale datasets and building production-grade analytical models.
- Demonstrated experience with actuarial reserving models or insurance forecasting methodologies.
- Experience applying machine learning techniques such as regression models, gradient boosting, classification models, or anomaly detection.
- Ability to design models that influence pricing, underwriting decisions, and portfolio risk management.
- Strong SQL and data manipulation skills.
- Experience building automated analytical pipelines or reporting workflows.
Soft skills: Curious, hard-working, thinking outside of the box, creative, attention to detail, and use of Claude code.
Preferred Qualifications: Actuary, Mathematics, Big Four consulting experience.
Candidates advancing through the interview process may be asked to complete a brief work exercise related to predictive modeling and risk analysis. The exercise is designed to reflect real-world challenges relevant to the role. Candidates completing this step will receive reasonable compensation for their time.
Benefits Compensation:
The Expected base pay for the role will be $128,000 - $192,000 at the commencement of employment. However, base pay if hired will be determined on an individualized basis and is only part of the total compensation package, which, depending on the position, may also include discretionary bonus and other Cover Whale-sponsored total rewards/benefits.
Perks/Benefits:
- Health Care Plan (Medical, Dental & Vision)
- Retirement Plan (401k) match
- Wellness benefits, including EAP, Gym Reimbursement, etc.
- Life Insurance (Basic, Voluntary & AD&D)
- Paid Time Off (Vacation, Sick & Public Holidays)
- Paid Family Leave (Maternity, Paternity)
- Tuition Assistance
- Professional Training & Development
Job Roles in Insurance in Florida
See all 2,414+ Insurance Florida jobs
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Get Access To All JobsFrequently Asked Questions
Which insurance companies sponsor visas in Florida?
Major insurers with Florida operations that typically sponsor visas include State Farm (Riverview), Progressive (Tampa), Allstate (St. Petersburg), and Liberty Mutual (Tampa). Specialty insurers like HCC Insurance Holdings and Baldwin Risk Partners also sponsor for actuarial, underwriting, and data science roles. Many reinsurance companies in Miami's financial district sponsor international talent for catastrophe modeling positions.
How to find insurance visa sponsorship jobs in Florida?
Migrate Mate specializes in connecting international professionals with visa-sponsoring insurance employers in Florida. The platform filters opportunities by state and industry, showing verified sponsorship employers across Tampa Bay's insurance corridor, Jacksonville's regional offices, and Miami's reinsurance hub. Focus your search on actuarial science, risk management, and specialized underwriting positions.
Which visa types are most common for insurance roles in Florida?
H-1B visas dominate for actuarial analysts, data scientists, and underwriters requiring specialized mathematical or statistical skills. E-3 visas work well for Australians in risk assessment roles. O-1 visas occasionally apply for catastrophe modeling experts with extraordinary expertise in hurricane risk analysis. L-1 transfers are common for international insurers expanding Florida operations.
Which Florida cities have the most insurance sponsorship opportunities?
Tampa Bay leads with the highest concentration, housing State Farm's technology center, Progressive's regional hub, and numerous specialty insurers. Jacksonville follows with regional headquarters for several national carriers. Miami's financial district focuses on reinsurance and catastrophe risk modeling. Orlando and Fort Lauderdale offer growing opportunities in insurtech and specialty commercial lines.
What makes Florida's insurance market unique for visa sponsorship?
Florida's hurricane exposure creates specialized demand for catastrophe modelers, wind engineers, and climate risk analysts, roles that often require international expertise and qualify for visa sponsorship. The state's rapid population growth drives property insurance expansion, while its status as a retiree destination creates unique life and health insurance markets requiring actuarial specialization.
What is the prevailing wage for sponsored insurance jobs in Florida?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.
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