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Data Science Insurance Jobs in Florida (NOW HIRING)

STRATEGYGEN CO

Principal Data Scientist

Jacksonville, FL · Remote

$130K - $165K/yr

... data science within regulated environments such as healthcare, insurance, government, or financial services. 3+ years of experience leading technical or cross-functional teams. Proven experience ...

Amerilife Group, LLC

Data Scientist

Clearwater, FL

Job Summary AmeriLife is a national leader in insurance and financial services. Our AI & Data Science team is small, high-impact, and building a modern AI capability from the ground up on Databricks.

AmeriLife Group, LLC

Data Scientist

Clearwater, FL · On-site

Job Summary AmeriLife is a national leader in insurance and financial services. Our AI & Data Science team is small, high-impact, and building a modern AI capability from the ground up on Databricks.

Strategygen Co.

Principal Data Scientist

Jacksonville, FL · On-site +1

$130K - $165K/yr

... data science within regulated environments such as healthcare, insurance, government, or financial services. • 3+ years of experience leading technical or cross-functional teams. • Proven ...

Voloridge Health

Health Data Scientist

Jupiter, FL · On-site

Data Science is at the core of our business. We are seeking Data Scientists who have dedicated ... Health, dental, vision, life, and disability insurance * 401K Voloridge Health is an Equal ...

Voloridge Health

Health Data Scientist

Jupiter, FL

Data Science is at the core of our business. We are seeking Data Scientists who have dedicated ... Health, dental, vision, life, and disability insurance * 401K Voloridge Health is an Equal ...

Chewy

Senior Data Scientist

Plantation, FL

$110K - $175.50K/yr

Bachelor's degree in Data Science, Statistics, Computer Science, or a related field. * 3+ years of ... We offer different types of insurance and benefits, such as medical/Rx, vision, dental, life ...

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Data Science Insurance information

See Florida salary details

$18.3K

$86.4K

$162.9K

How much do data science insurance jobs pay per year?

As of May 30, 2026, the average yearly pay for data science insurance in Florida is $86,356.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,423.00 and $122,675.00 per year, depending on experience, location, and employer.

What is a Data Science Insurance job?

A Data Science Insurance job involves using data analytics, machine learning, and statistical modeling to assess risks, detect fraud, optimize pricing, and enhance customer experience in the insurance industry. Professionals in this role analyze large datasets to identify patterns and trends that help insurers make data-driven decisions. They work with actuarial teams, underwriters, and claims departments to improve risk assessment and operational efficiency. This role requires expertise in programming languages like Python or R, as well as proficiency in data visualization, predictive modeling, and big data processing.

What are the key skills and qualifications needed to thrive in the Data Science Insurance position, and why are they important?

To thrive in Data Science Insurance, you need strong analytical skills, proficiency in statistical modeling, and a solid foundation in mathematics and insurance principles, often supported by a degree in data science or actuarial science. Experience with programming languages like Python or R, data visualization tools, and knowledge of insurance-specific software or relevant certifications like ACAS or CSPA are highly valued. Excellent problem-solving abilities, attention to detail, and clear communication skills are essential for translating complex data into actionable insights for diverse teams. These competencies enable professionals to accurately assess risk, improve decision-making, and drive innovation within insurance organizations.

What are some common challenges faced by data scientists working in the insurance industry?

Data scientists in the insurance sector often encounter challenges like working with large, complex, and sometimes incomplete datasets, as well as navigating strict regulatory frameworks. Balancing the need for highly accurate predictive models with the business's risk appetite and operational constraints is a key aspect of the job. Additionally, there's a strong emphasis on explaining complex analytical findings to non-technical stakeholders such as underwriters, actuaries, or business managers. These challenges foster collaborative problem-solving and help data science professionals sharpen both their technical and communication skills in a real-world environment.
More about Data Science Insurance jobs
What are the most commonly searched types of Data Science Insurance jobs in Florida? The most popular types of Data Science Insurance jobs in Florida are:
What are popular job titles related to Data Science Insurance jobs in Florida? For Data Science Insurance jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Data Science Insurance jobs in Florida look for? The top searched job categories for Data Science Insurance jobs in Florida are:
Data Science Insurance jobs near you
Infographic showing various Data Science Insurance job openings in Florida as of May 2026, with employment types broken down into 74% Full Time, 22% Part Time, and 4% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $86,356 per year, or $41.5 per hour.
Principal Data Scientist

Principal Data Scientist

STRATEGYGEN CO

Jacksonville, FL • Remote

$130K - $165K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 26 days ago

Job description

Benefits:
  • 401(k)
  • 401(k) matching
  • Competitive salary
  • Dental insurance
  • Health insurance
  • Paid time off
  • Tuition assistance
  • Vision insurance

About the Role
We are seeking a Principal Data Scientist to lead the design, maintenance, and annual evolution of risk assessment and compliance analytics solutions supporting CMS Marketplace oversight programs. This role sits at the intersection of regulatory data science, risk modeling, and federal program oversight driving the analytical frameworks used to evaluate and prioritize compliance risk across QHP issuers, web brokers, agents/brokers, and Direct Enrollment (DE/EDE) entities.
What You Will Do
Lead development and ongoing refinement of structured risk assessment methodologies, including changes to data sources, measure design, risk attribution logic, and scoring calculations.
Design and develop compliance risk dashboards and performance monitoring tools adopted by CMS policy and audit stakeholders for operational decision-making, leveraging data visualization platforms such as Power BI, Tableau, or MS Excel.
Design data-driven methodologies to identify and quantify compliance risk using multi-source datasets, including the preparation and maintenance of composite measure frameworks and multi-stage risk scoring pipelines.
Support issuer compliance reviews, DE/EDE audits, and agent/broker oversight activities by translating regulatory requirements into technical specifications and testable data logic.
Develop AI and machine learning solutions with explainability to prioritize and detect noncompliance, and implement agentic AI workflows that automate ingestion, validation, and normalization of compliance data.
Support development and maintenance of machine-readable public use files (PUFs) and associated validation logic.
Integrate and harmonize CMS data systems to produce actionable insights and executive reporting, ensuring risk scoring outputs are clearly communicated to non-technical and senior stakeholders.
Collaborate with CMS policy, audit, and IT teams to continuously enhance oversight systems and analytical processes.
What We Are Looking For
Bachelors degree (Masters preferred) in Data Science, Computer Science, Information Systems, Statistics, Public Health, Health Informatics, or related field.
5+ years of hands-on experience in advanced analytics or data science within regulated environments such as healthcare, insurance, government, or financial services.
3+ years of experience leading technical or cross-functional teams.
Proven experience building risk scoring methodologies, predictive models, or compliance analytics frameworks involving multi-source datasets.
Proficiency in Python and/or R, SQL, and structured data analysis (SAS experience a plus) and experience using Databricks.
Experience working with large, complex, multi-source datasets.
Expert-level proficiency in data visualization platforms (Power BI, Tableau, or MS Excel) with demonstrated experience producing dashboards for senior and non-technical stakeholders in a regulatory or federal program environment.
Strong ability to communicate technical methodology and findings clearly to non-technical and executive stakeholders.
Ability to pass a background investigation or federal security clearance for contracted project work; holding an active CMS Enterprise User Administration (EUA) ID is desired.
Preferred Experience
Experience supporting CMS, CCIIO, ACA Marketplace, or other federal oversight programs.
Familiarity with QHP compliance reviews, DE/EDE, or agent/broker oversight, agent/broker oversight, or the ACA regulatory framework.
Experience developing explainable AI or human-in-the-loop decision support tools.
Experience with methodology documentation, SOP development, or audit-ready analytical frameworks

This is a remote position.