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Data Science Insurance Jobs in Florida (NOW HIRING)

... 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+ ...

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

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

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

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

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

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

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 ...

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

Developing and implementing scalable Data Science Analytical Solutions that rely on machine ... Short- and long-term disability insurance * Free hot lunches (buffet-style) at facilities with a ...

... Science or Data Engineering BENEFITS as a full-time RMS Employee, you will be eligible for: * 100% employer paid HSA medical insurance, or 80% employer paid medical insurance for HMO and PPO plans ...

... Science or Data Engineering BENEFITS as a full-time RMS Employee, you will be eligible for: * 100% employer paid HSA medical insurance, or 80% employer paid medical insurance for HMO and PPO plans ...

... Science or Data Engineering BENEFITS as a full-time RMS Employee, you will be eligible for: * 100% employer paid HSA medical insurance, or 80% employer paid medical insurance for HMO and PPO plans ...

Showing results 21-40

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 Sep 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?

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 data science insurance?

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.

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:

Infographic showing various Data Science Insurance job openings in Florida as of September 2026, with employment types broken down into 1% As Needed, 76% Full Time, 19% Part Time, and 4% Contract. Highlights an 88% Physical, 1% Hybrid, and 11% Remote job distribution, with an average salary of $86,356 per year, or $41.5 per hour.

Data Scientist

Cape Canaveral, FL

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 8 days ago


Job description

Koniag IT Systems, LLC, a Koniag Government Services company, is seeking a Data Scientist with a Secret security clearance to support KITS and our government customer at Stennis Space Center, MS.

We offer competitive compensation and an extraordinary benefits package including health, dental and vision insurance, 401K with company matching, flexible spending accounts, paid holidays, three weeks paid time off, and more.

Koniag IT Systems, LLC, a Koniag Government Services company, is seeking a skilled Data Scientist to join our team at Stennis Space Center, Mississippi. The ideal candidate will leverage advanced analytics, machine learning, and geospatial analysis techniques to extract valuable insights from complex datasets. This position offers the opportunity to work with cutting-edge technologies and contribute to mission-critical projects while solving challenging analytical problems.

The Data Scientist will be responsible for developing and implementing advanced analytical solutions, with a particular focus on geospatial data analysis and modeling.

Key responsibilities include:

  • Design and implement machine learning models and statistical analyses
  • Develop predictive models and data-driven solutions
  • Process and analyze large-scale geospatial datasets
  • Create data visualization and reporting solutions
  • Conduct exploratory data analysis
  • Develop and maintain analytical pipelines
  • Collaborate with cross-functional teams to understand requirements
  • Transform complex data into actionable insights
  • Optimize existing models and analytical processes
  • Document methodologies and findings
  • Present technical findings to stakeholders

Education and Experience:

  • Master's degree in Data Science, Computer Science, Statistics, Mathematics, or related field
  • 5+ years of experience in data science or related field
  • Proven experience with machine learning and statistical modeling
  • Strong background in geospatial analysis
  • Demonstrated track record of successful analytical projects

 

Required Skills and Competencies:

  • Python, R, or similar programming languages
  • Machine learning frameworks (scikit-learn, TensorFlow, PyTorch)
  • Statistical analysis and modeling
  • Data visualization tools (Matplotlib, Seaborn, Plotly)
  • SQL and database querying
  • Geographic Information Systems (GIS), specifically: Commercial Joint Mapping Toolkit (CJMTK)
  • ESRI ArcGIS suite of commercial software components
  • ArcGIS Runtime
  • ArcGIS Engine
  • ArcGIS extensions including: 3-D Analyst
  • Geostatistical Analyst
  • Network Analyst
  • Spatial Analyst
  • Tracking Analyst
  • ArcGIS Server
  • Experience with:
  • Spatial statistics and analysis
  • Big data processing tools
  • Version control systems (Git)
  • Jupyter notebooks
  • Data preprocessing and feature engineering
  • Model evaluation and validation techniques
  • Strong analytical and problem-solving skills
  • Excellent communication abilities
  • Must be able to work on-site at Stennis Space Center, MS

Clearance Requirement:

  • Secret security clearance 

Desired Skills and Competencies:

  • Deep learning techniques
  • Computer vision
  • Natural language processing
  • Cloud computing platforms (AWS, Azure, GCP)
  • Big data technologies (Hadoop, Spark)
  • Remote sensing data analysis
  • Time series analysis
  • Spatial modeling
  • Bayesian statistics
  • Knowledge of:
  • Data engineering principles
  • MLOps practices
  • Distributed computing
  • High-performance computing
  • Image processing
  • Familiarity with:
  • Federal data standards
  • Research methodology
  • Scientific computing
  • Geospatial data formats and standards
  • Publications in peer-reviewed journals
  • Federal government contract experience
  • Security clearance or ability to obtain one
  • Relevant certifications in data science or machine learning

 

Our Equal Employment Opportunity Policy

The company is an equal opportunity employer. The company shall not discriminate against any employee or applicant because of race, color, religion, creed, ethnicity, sex, sexual orientation, gender or gender identity (except where gender is a bona fide occupational qualification), national origin or ancestry, age, disability, citizenship, military/veteran status, marital status, genetic information or any other characteristic protected by applicable federal, state, or local law. We are committed to equal employment opportunity in all decisions related to employment, promotion, wages, benefits, and all other privileges, terms, and conditions of employment.

The company is dedicated to seeking all qualified applicants. If you require an accommodation to navigate or apply for a position on our website, please get in touch with Heaven Wood via e-mail at accommodations@koniag-gs.com or by calling 703-488-9377 to request accommodations.

Koniag Government Services (KGS) is an Alaska Native Owned corporation supporting the values and traditions of our native communities through an agile employee and corporate culture that delivers Enterprise Solutions, Professional Services and Operational Management to Federal Government Agencies. As a wholly owned subsidiary of Koniag, we apply our proven commercial solutions to a deep knowledge of Defense and Civilian missions to provide forward leaning technical, professional, and operational solutions. KGS enables successful mission outcomes for our customers through solution-oriented business partnerships and a commitment to exceptional service delivery. We ensure long-term success with a continuous improvement approach while balancing the collective interests of our customers, employees, and native communities. For more information, please visit www.koniag-gs.com.

Equal Opportunity Employer/Veterans/Disabled. Shareholder Preference in accordance with Public Law 88-352