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Data Scientist Insurance Jobs in Florida (NOW HIRING)

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 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 ...

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 ...

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 ...

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 ...

The Data Scientist II will support the development of AI, machine learning, and natural language ... Our Associates have access to robust health insurance plans, including Medical, Dental, and Vision ...

Data Scientist II Our Opportunity We are seeking a hands-on and highly motivated Data Scientist II ... We offer different types of insurance and benefits, such as medical/Rx, vision, dental, life ...

... wide across Humana's Insurance, CenterWell, Growth, and Corporate business segments. By ... We are seeking a Senior Data Scientist who will contribute to Generative AI initiatives at Humana ...

... wide across Humana's Insurance, CenterWell, Growth, and Corporate business segments. By ... We are seeking a Senior Data Scientist who will contribute to Generative AI initiatives at Humana ...

... wide across Humana's Insurance, CenterWell, Growth, and Corporate business segments. By ... We are seeking a Senior Data Scientist who will contribute to Generative AI initiatives at Humana ...

... Insurance - Applies statistical analysis, machine learning, data preparation, experimentation, and model evaluation techniques to develop and validate AI/ML solutions - Utilizing Python, data science ...

Showing results 21-40

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.

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.

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 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:
Infographic showing various Data Scientist Insurance job openings in Florida as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 20% Part Time, and 5% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution.

Data Scientist

Noblesoft Solutions

Jacksonville, FL • On-site

Contractor

Re-posted 3 days ago


Job description

Company Description
Noblesoft Solutions is a certified member of the National Minority Supplier Diversity Council (NMSDC) and is also a certified Minority Business Enterprise. We are headquartered outside Philadelphia, PA with employees located in over 15 states. As a certified Oracle Gold partner, Noblesoft helps our enterprise customers solve their business challenges through strategic consulting services, innovative offerings and industry-specific solutions built on the latest technologies.
Since our inception, it has been the company's mission and commitment to provide the highest level of quality, integrity and dependability to its clients. Noblesoft has successfully implemented solutions for customers across a range of industries including Healthcare, Retail, Finance and Hospitality, adding tremendous value to those organizations by increasing efficiency, shortening the development life cycle and delivering high-quality end products.
Our History
After years of working as integrators for PeopleSoft Inc. and Big 5 consulting firms, Noblesoft was formed as consulting firm with a model of delivering high profile solutions for our clients across the country.
Job Description
This is an entry level Data Scientist Role for a person who is self motivated and has a passion to innovate and work on cutting edge technology.
Qualifications
Candidate should have experience in some form of SQL (e.g. HIVE, PostgreSQL, MSSQL, etc.) and either Python or R for statistical application development. Experience in a Hadoop environment and / or statistical development tool (e.g. RapidMiner, Knime) a plus.
Data Scientist
• Develop and communicate a deep understanding of client needs, perform analytical deep-dives to identify problems, opportunities and specific actions required
• Develop reproducible and deployable statistical applications on platform such as R/Python/Spark using techniques such as Regression, SVM, and Neural Networks
• Implementing processes that improve and lead to greater data quality
• Conducting statistical analyses to develop strategies
• Documenting all processes and research
• Building new algorithms and model training
• Executing projects involving analytics
• Identifying data patterns and trends
• Analyzing data to develop predictive models
• Creating, managing, and maintaining analytically rigorous data
• Possessing a solid machine learning foundation
• Proven record of successful statistical product delivery
• Ability to execute health insurance use cases via statistical applications such as R or Python
• Efficiently access data via multiple vectors (e.g. NFS, FTP, SSH, SQL, Sqoop, Flume, Spark)
• Significant experience with SQL and working with large datasets required
• Work with cross-functional teams (including Product Management, Engineering, and senior executives) to rapidly execute and iterate
• Noting anomaly detection and running diagnostics
• Performing graphical model analysis
• Strong verbal and written communication skills
Additional Information
Candidates would Roll Perm at some point