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Data Science Insurance Jobs in Florida (NOW HIRING)

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 ...

AIS, Inc.

Data Scientist

Miami, FL · On-site

AIS benefits package includes health and dental insurance, vacation, sick and holiday benefits. Minimum Qualifications: * Master's degree in data science, computer science, marine biology, or related ...

Pwc

AIT - AI Data Scientist Manager

Tampa, FL

$99K - $297K/yr

Industry/Sector Not Applicable Specialism Data Science Management Level Manager & Summary The ... Management/Insurance - Applies statistical analysis, machine learning, data preparation ...

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.

Citi

Sr. Data Scientist - Vice President

Tampa, FL · On-site

$142K - $213K/yr

Provide subject matter expertise in data science and advanced knowledge of AI/ML applications ... insurance; and wellness programs. Citi also offers paid time off packages, including planned time ...

USAA

Data Scientist Senior

Tampa, FL · On-site +1

D.) in Mathematics, Economics, Statistics, Finance, Data Science, Actuarial Science, or a related ... Experience within a large financial services, banking, insurance, or consulting environment is ...

USAA

Data Scientist Senior

Tampa, FL · On-site +1

D.) in Mathematics, Economics, Statistics, Finance, Data Science, Actuarial Science, or a related ... Experience within a large financial services, banking, insurance, or consulting environment is ...

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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 13, 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
Data Scientist

Data Scientist

The Subway

Miami, FL • On-site

$102K - $128K/yr

Full-time

Medical, Life, Retirement

Re-posted 29 days ago

Subway rating

4.4

Company rating: 4.4 out of 10

Based on 2,026 frontline employees who took The Breakroom Quiz

96th of 103 rated fast food restaurants

Job description

We are Subway Headquarters! A dedicated team of professionals supporting thousands of franchisees around the globe.
Location: Miami, FL
Ready for a fresh, new career? Look no further because one of the world's most iconic brands can help you get there.
Why Join Us?
At Subway, "better" is baked into our DNA. We are a brand that believes in continued improvement ... in our lives, our businesses, and our planet. From the handshake that started our very first sandwich shop to earning our position as one of the world's leading restaurant brands, we've always embraced change and the path ahead. And today, we're making better living way easier.
Our purpose is more than the food we serve in our restaurants. It's centered on fueling healthy businesses and healthier lives. It is one of the most exciting times to join the Subway team and contribute to our transformational journey.
Key Responsibilities
  • Write production-level code for robust analytics products, ensuring scalability and maintainability.
  • Collaborate with data and software engineers to support data science solutions through the entire product lifecycle, including data wrangling, exploratory analysis, hypothesis testing, modeling, rapid prototyping, business validation and testing, and deployment.
  • Leverage a diverse set of large and unstructured data (POS data, loyalty program data, customer feedback, etc.) to derive meaningful insights and information sets that inform business decisions.
  • Apply a variety of advanced analytical techniques including predictive modeling, machine learning, time series analysis, simulation, and optimization to address specific business challenges.

Qualifications:
  • Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field (or equivalent experience)
  • 3+ years of experience in data science, analytics, or a related role
  • Strong programming experience with Python, R, or similar languages for data analysis and model development
  • Experience writing production-level code with a focus on scalability, performance, and maintainability
  • Solid understanding of software development best practices (version control, testing, code reviews)

Technical Skills
  • Hands-on experience with machine learning techniques such as regression, classification, clustering, and ensemble methods
  • Proficiency in advanced analytics methods including:
    • Predictive modeling
    • Time series analysis
    • Optimization and simulation techniques
  • Experience working with large, complex, and unstructured datasets (e.g., transactional, customer, or behavioral data)
  • Strong data wrangling and exploratory data analysis (EDA) skills
  • Experience with data visualization tools (e.g., Tableau, Power BI, matplotlib, seaborn)
  • SQL along with Python, R required

Data & Engineering Collaboration
  • Experience working in cross-functional teams with data engineers, software engineers, and product teams
  • Familiarity with data pipelines, ETL processes, and cloud-based data platforms (e.g., AWS, Azure, or GCP)
  • Understanding of the full data science lifecycle, including:
    • Data preparation
    • Model development and validation
    • Deployment and monitoring

Analytical & Business Skills
  • Strong problem-solving and critical thinking skills with the ability to translate business questions into analytical solutions
  • Experience applying data-driven insights to influence business decisions
  • Ability to perform hypothesis testing and interpret statistical results

Soft Skills
  • Excellent communication skills with the ability to explain complex technical concepts to non-technical stakeholders
  • Strong collaboration and teamwork abilities
  • Ability to manage multiple projects and work in a fast-paced environment

What do we offer?
  • Insurance Plans (Medical, Life)
  • Pension/401K/RSP (country specific)
  • Competitive Bonus
  • Mobility Allowance
  • Tuition Reimbursement
  • Company Holidays
  • Volunteering time
  • And More.....

Compensation: The base pay range for this role is $102,700-$128,400 annually
Pay within this range will be determined in good faith based on job-related factors, which may include skills, experience, education/training, location, and internal equity.
The Company is only considering applicants who are currently authorized to work in the country the position is based. AA/EOE/D/V
The Company is only considering applicants who are currently authorized to work in the country the position is based. AA/EOE/D/V

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