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Data Scientist Insurance Jobs in Florida (NOW HIRING)

The Subway

Data Scientist

Miami, FL · On-site

$102K - $128K/yr

Collaborate with data and software engineers to support data science solutions through the entire ... Insurance Plans (Medical, Life) * Pension/401K/RSP (country specific) * Competitive Bonus

Revenue Management Solutions

Data Scientist

Tampa, FL · On-site

Description THE OPPORTUNITY As a Data Scientist, you will have the opportunity to learn and apply ... Dental and vision insurance (80% employer paid) * Basic Life and AD&D insurance (100% employer paid)

Revenue Management Solutions

Data Scientist

Tampa, FL · Hybrid

THE OPPORTUNITY As a Data Scientist, you will have the opportunity to learn and apply RMS ... Dental and vision insurance (80% employer paid) * Basic Life and AD&D insurance (100% employer paid)

Revenue Management Solutions

Data Scientist

Tampa, FL · Hybrid

THE OPPORTUNITY As a Data Scientist, you will have the opportunity to learn and apply RMS ... Dental and vision insurance (80% employer paid) * Basic Life and AD&D insurance (100% employer paid)

Munich RE

Data Scientist

Fort Lauderdale, FL · On-site

American Modern Insurance Group, Inc., a Munich Re company, is a widely recognized specialty ... Join our dynamic, centralized Data Science team as we execute our AI/ML roadmap! We focus on ...

Munich RE

Data Scientist

Jacksonville, FL · On-site

American Modern Insurance Group, Inc., a Munich Re company, is a widely recognized specialty ... Join our dynamic, centralized Data Science team as we execute our AI/ML roadmap! We focus on ...

Noblesoft Solutions

Data Scientist

Jacksonville, FL · On-site

This is an entry level Data Scientist Role for a person who is self motivated and has a passion to ... insurance use cases via statistical applications such as R or Python Efficiently access data via ...

Noblesoft Solutions

Data Scientist

Jacksonville, FL · On-site

This is an entry level Data Scientist Role for a person who is self motivated and has a passion to ... insurance use cases via statistical applications such as R or Python • Efficiently access data ...

Graham Tech

Data Scientist

Tampa, FL · On-site

$120 - $190/hr

Graham Technologies is seeking a highly skilled Data Scientist to develop advanced machine learning ... Comprehensive Health, Dental, Vision, and Life Insurance * 401(k) Plan with Annual Employer ...

STEMboard

Data Scientist - TS/SCI

Tampa, FL · On-site

The data scientist work with a team of data scientists and engineers that collect and arrange data ... Life Insurance STEMBoard is committed to hiring and retaining a diverse workforce. All qualified ...

STEMboard

Data Scientist - TS/SCI

Tampa, FL · On-site

The data scientist work with a team of data scientists and engineers that collect and arrange data ... Life Insurance STEMBoard is committed to hiring and retaining a diverse workforce. All qualified ...

Hut 8

Principal, Data Scientist

Miami, FL

Apply data science and analytical methods to develop reusable models, reports, dashboards, and ... insurance, as well as paid time off. We are proud to invest in building the best team in the ...

Hut 8

Principal, Data Scientist

Miami, FL · On-site

Apply data science and analytical methods to develop reusable models, reports, dashboards, and ... insurance, as well as paid time off. We are proud to invest in building the best team in the ...

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Showing results 21-40

All JobsData Scientist Insurance JobsData Scientist Insurance Jobs in Florida

Data Scientist Insurance information

What does a data scientist do in the insurance industry?

A Data Scientist in the insurance industry analyzes large volumes of data to identify trends, predict risks, and improve decision-making processes. They use statistical models, machine learning, and data visualization to assess policyholder behavior, detect fraud, and optimize pricing strategies. Their work helps insurance companies create better products, reduce losses, and provide more personalized services to clients.

What are the key skills and qualifications needed to thrive as a data scientist in the insurance industry?

To thrive as a Data Scientist in insurance, you need strong statistical analysis, data modeling, and programming skills, often supported by a degree in computer science, mathematics, or a related field. Familiarity with tools such as Python, R, SQL, SAS, and machine learning frameworks, along with relevant certifications, is typically required. Exceptional problem-solving, communication, and business acumen help translate complex data insights into actionable strategies for underwriting, claims, and risk assessment. These skills are essential for driving data-driven decisions, optimizing processes, and maintaining a competitive edge in the insurance sector.

How do data scientists in the insurance industry typically collaborate with underwriters and actuaries?

Data Scientists in insurance work closely with underwriters and actuaries to develop predictive models, risk assessments, and pricing strategies. Collaboration often involves regular meetings to discuss business requirements, share model outputs, and interpret analytical findings in the context of insurance products. Data Scientists translate complex data insights into actionable recommendations, ensuring that technical solutions align with regulatory standards and business objectives. This teamwork helps optimize decision-making and enhances the accuracy of risk evaluation.

What is the difference between Data Scientist Insurance vs Data Analyst Insurance?

AspectData Scientist InsuranceData Analyst Insurance
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related fields; often some programming skillsBachelor's in Statistics, Mathematics, or related fields; basic data analysis skills
Work EnvironmentDeveloping predictive models, advanced analytics, machine learning projectsData reporting, data cleaning, basic analysis, generating reports
Employer & Industry UsageInsurance companies, tech firms, consulting agenciesInsurance firms, financial institutions, marketing teams

Data Scientist Insurance roles focus on advanced analytics, machine learning, and predictive modeling, requiring stronger technical skills. Data Analyst Insurance positions involve data reporting, basic analysis, and supporting decision-making with less emphasis on complex modeling. Both roles are vital in the insurance industry but differ in technical depth and responsibilities.

What are popular job titles related to Data Scientist Insurance jobs in Florida?

For Data Scientist Insurance jobs in Florida, the most frequently searched job titles are:

What job categories do people searching Data Scientist Insurance jobs in Florida look for?

The top searched job categories for Data Scientist Insurance jobs in Florida are:

What cities in Florida are hiring for Data Scientist Insurance jobs?

Cities in Florida with the most Data Scientist Insurance job openings:

Data Scientist Insurance jobs near you
Infographic showing various Data Scientist Insurance job openings in Florida as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 18% Part Time, and 4% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution.

Data Scientist

The Subway

Miami, FL • On-site

$102K - $128K/yr

Full-time

Medical, Life, Retirement

Re-posted 24 days ago

Subway rating

4.5

Company rating: 4.5 out of 10

Based on 2,071 frontline employees who took The Breakroom Quiz

94th of 107 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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