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Data Science Insurance Jobs in Florida (NOW HIRING)

University of Florida

Data Scientist IV

Gainesville, FL · On-site

$98K - $110K/yr

A Bachelor's Degree in data science, statistics, bioinformatics, analytics, or similar field and ... Health Insurance Program (CHIP), assessing the quality of care for beneficiaries. The ideal ...

Munich Re

Data Scientist, AI

Fort Lauderdale, FL · On-site +1

... science/predictive analytics experience in (re)insurance or 4 or more years predictive modeling experience in another industry. * Sr. Data Scientist: 4 or more years of data science/predictive ...

Munich Re

Data Scientist, AI

Jacksonville, FL · On-site +1

... science/predictive analytics experience in (re)insurance or 4 or more years predictive modeling experience in another industry. * Sr. Data Scientist: 4 or more years of data science/predictive ...

subway

Data Scientist

Miami, FL

$102K - $128K/yr

Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related ... Insurance Plans (Medical, Life) * Pension/401K/RSP (country specific) * Competitive Bonus

subway

Data Scientist

Miami, FL · On-site

$102K - $128K/yr

Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related ... Insurance Plans (Medical, Life) * Pension/401K/RSP (country specific) * Competitive Bonus

subway

Data Scientist

Miami, FL · On-site

$102K - $128K/yr

Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related ... Insurance Plans (Medical, Life) * Pension/401K/RSP (country specific) * Competitive Bonus

subway

Data Scientist

Miami, FL · On-site

$102K - $128K/yr

Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related ... Insurance Plans (Medical, Life) * Pension/401K/RSP (country specific) * Competitive Bonus

kgs

Data Scientist

Cape Canaveral, FL

... vision insurance, 401K with company matching, flexible spending accounts, paid holidays, three ... Master's degree in Data Science, Computer Science, Statistics, Mathematics, or related field * 5+ ...

subway

Data Scientist

Miami, FL

$102K - $128K/yr

Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related ... Insurance Plans (Medical, Life) * Pension/401K/RSP (country specific) * Competitive Bonus

subway

Data Scientist

Miami, FL · On-site

$102K - $128K/yr

Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related ... Insurance Plans (Medical, Life) * Pension/401K/RSP (country specific) * Competitive Bonus

subway

Data Scientist

Miami, FL · On-site

$102K - $128K/yr

Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related ... Insurance Plans (Medical, Life) * Pension/401K/RSP (country specific) * Competitive Bonus

subway

Data Scientist

Miami, FL · On-site

$102K - $128K/yr

Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related ... Insurance Plans (Medical, Life) * Pension/401K/RSP (country specific) * Competitive Bonus

subway

Data Scientist

Miami, FL · On-site

$102K - $128K/yr

Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related ... Insurance Plans (Medical, Life) * Pension/401K/RSP (country specific) * Competitive Bonus

subway

Data Scientist

Miami, FL · On-site

$102K - $128K/yr

Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related ... Insurance Plans (Medical, Life) * Pension/401K/RSP (country specific) * Competitive Bonus

subway

Data Scientist

Miami, FL · On-site

$102K - $128K/yr

Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related ... Insurance Plans (Medical, Life) * Pension/401K/RSP (country specific) * Competitive Bonus

The Subway

Data Scientist

Miami, FL · On-site

$102K - $128K/yr

Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related ... Insurance Plans (Medical, Life) * Pension/401K/RSP (country specific) * Competitive Bonus

Lennar Homes

Data Scientist II

Miami, FL · On-site

Requirements Bachelor's degree in data science, mathematics, statistics, engineering, computer ... Our Associates have access to robust health insurance plans, including Medical, Dental, and Vision ...

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Showing results 1-20

All JobsData Science Insurance JobsData Science Insurance Jobs in Florida

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 Jul 9, 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 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.

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 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
Director, Data Science

Director, Data Science

SeaWorld Parks & Entertainment

Miami, FL • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 16 days ago

Job description

SeaWorld is a world-renowned leader in the themed-park and entertainment industry. Our success is built on a passion for caring for animals and a dedication to delivering positive, memorable experiences to people from around the world. Were also committed to helping ambitious people achieve their professional best. We're always seeking exceptionally skilled and knowledgeable individuals to join our team.
Onsite: Miami, FL
Key Responsibilities
Predictive & Prescriptive Modeling
Develop, test, and operationalize predictive and prescriptive models to enable right audience, right message, right channel marketing execution:
  • Ticket & Pass Prediction - Identify customers likely to purchase a Pass, Fun Card, Multi-Day, or Single-Day Ticket to optimize targeting and creative execution.
  • Guest Interest Classification - Predict whether a guest is an Animal Lover, Thrill Seeker, or Foodie to tailor marketing creative, landing pages, and post-purchase engagement.
  • Customer Lifetime Value (LTV) & Churn Prediction - Forecast LTV to inform Customer Acquisition Cost (CAC), prospect targeting, win-back strategies, and lapse/churn risk management.

AI-Powered Learning Platforms & Self-Service Tools
Build AI-driven learning tools to empower corporate and park teams with real-time, data-driven decision-making capabilities:
  • Causal Analysis - Develop self-serve tools to measure the impact of marketing efforts, ticket pricing, and promotions on pass sales and visitation.
  • Geo Lift, Market Mix Modeling & Budget Optimization - Build models to assess offer impact by channel, optimize media mix, and forecast visitation based on geo-lift experiments.

Performance Management & Anomaly Detection - Create a real-time performance tracking system in Databricks, integrating spend, impressions, clicks, and purchases with:
  • Automated anomaly detection triggering alerts when deviations exceed a set threshold from plan, last week, or year-over-year trends.
  • Root cause diagnostics to enable teams to take immediate corrective action.
  • Customer Behavior & Sentiment Analysis - Build a queryable platform that triangulates business results, marketing performance, surveys, and social listening, enabling teams to:
  • Use natural language queries for insights.
  • Support conversational commerce by analyzing web recordings, call center transcripts, and social forum discussions.

Agentic AI for Marketing & Revenue Optimization
Drive agentic AI exploration, testing, and productionalization to automate real-time marketing decisions and revenue strategies:
  • AI-Driven Media & Offer Optimization
  • Develop AI agents that adjust channel spend in real-time to meet pass/ticket and visit goals within budget constraints.
  • Enable certain AI-driven offer optimizations to be auto-deployed, while others require human authorization.
  • Predictive Demand & Geo-Fenced Offer Automation
  • Forecast daily and next-day attendance and trigger geo-fenced, time-sensitive offers (e.g., 4 PM-to-close tickets, animal encounter day-of offers).
  • AI-Powered Content & Creative Optimization
  • Use contextual AI to auto-optimize email offers, messages, and images.
  • Deploy generative AI to create dynamic content variations based on guest behavior and engagement.

What We're Looking For
  • Expertise in AI, machine learning, and predictive modeling with a track record of deploying real-time marketing optimization solutions.
  • Strong experience with Databricks, Python, SQL, Spark, and cloud platforms (AWS/GCP).
  • Ability to translate AI-driven insights into tangible business strategies that impact revenue and guest engagement.
  • Experience in leading data science teams and collaborating with marketing, sales, and product teams.
  • Strong understanding of media optimization, attribution modeling, and real-time decisioning AI.

The perks of the position:
  • Paid Time Off
  • Complimentary Park Tickets and Passes
  • Park Discounts on Food and Merchandise
  • Medical, Dental, and Vision Insurance
  • 401K Retirement plan
  • Voluntary Insurance
  • Life Insurance
  • Disability Benefits
  • Tuition Reimbursement
  • Dependent and Health Care Flexible Spending Accounts
  • Employee Assistance Program
  • Legal Assistance Plan

EEO Employer:
SEAWORLD PARKS & ENTERTAINMENT IS AN EQUAL OPPORTUNITY EMPLOYER. ALL APPLICANTS WILL BE CONSIDERED WITHOUT REGARD TO AGE, RACE, COLOR, RELIGION, SEX, NATIONAL ORIGIN, SEXUAL ORIENTATION, PREGNANCY, GENDER IDENTITY OR EXPRESSION, DISABILITY OR COVERED VETERAN STATUS.

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