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Full Time Data Science Insurance information

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$37.5K

$122.7K

$196.5K

How much do full time data science insurance jobs pay per year?

As of Aug 5, 2026, the average yearly pay for full time data science insurance in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What is the difference between Full Time Data Science Insurance vs Data Analyst in Insurance?

AspectFull Time Data Science InsuranceData Analyst in Insurance
Required CredentialsBachelor's or higher in Data Science, Statistics, or related fields; knowledge of machine learningBachelor's in Statistics, Mathematics, or related fields; proficiency in data visualization and analysis tools
Work EnvironmentCollaborative teams, often in tech-driven insurance companies, focusing on predictive modelingOffice-based, analyzing insurance data, preparing reports for business decisions
Employer & Industry UsageInsurance companies, tech firms, consulting agenciesInsurance firms, brokerage companies, risk management departments

Full Time Data Science Insurance roles focus on developing predictive models and machine learning algorithms, requiring advanced technical skills. Data Analysts in Insurance primarily interpret data, generate reports, and support decision-making with less emphasis on complex modeling. Both roles are vital in the insurance industry but differ in technical depth and responsibilities.

More about Full Time Data Science Insurance jobs
What are the most commonly searched types of Data Science Insurance jobs? The most popular types of Data Science Insurance jobs are:
What job categories do people searching Full Time Data Science Insurance jobs look for? The top searched job categories for Full Time Data Science Insurance jobs are:
Full Time Data Science Insurance jobs near you
Infographic showing various Full Time Data Science Insurance job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Data Scientist Intern - In Office, Scottsdale, AZ only

Sandhills Global, Inc.

Scottsdale, AZ • On-site

Full-time, Internship

Re-posted 11 days ago

Sandhills Global rating

7.9

Company rating: 7.9 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

8th of 19 rated publishing

Job description

Data Scientist Intern - In Office, Scottsdale, AZ only
Scottsdale, Arizona, USA
The Data Scientist Intern will be responsible for assisting our full-time Data Scientist team in the analysis, development, and testing of code supporting our existing and future products and services. Specifically, they will be asked to learn, analyze, and utilize our data to solve problems and answer questions that lead us to better serve our customers. These duties will often require the ability to visualize or contextualize raw data, train, evaluate, and deploy various types of modeling techniques, and communicate the resulting trends and observations. Additionally, the Data Scientist Intern may be asked to help facilitate the curation of our data upstream from the work described above, making the actual analysis and modeling of the data possible. This work would still require the foresight of how the data will eventually be utilized to ensure it is made available in the most advantageous way possible. Ideally, the Data Scientist Intern would gain the knowledge and experience necessary to be transitioned into a full-time Data Scientist role as soon as they prove to be ready, and the opportunity presents itself.
Internships at Sandhills Global can start at any point in the semester - we are having new hires start their journey with us every single week! Pick a start date that works for you.
Qualifications:
• Completion of or progress towards a degree in Data Science, Mathematics, Statistics, or any other applied or quantitative discipline
• Experience in Python or R, and various libraries/packages
• Some understanding of machine learning concepts and techniques, including tree-based models and neural networks
• Ability to perform critical thinking and statistical analysis
• Strong oral and written communication skills
• Knowledge around computer vision, Natural Language Processing, or Large Language Models preferred
• Experience with SQL, stored procedures, or APIs preferred
• Familiarity with platforms like Spark, Kubernetes, Docker, or Jenkins preferred
• Ability to commute when scheduled to the local office is required
• Able to work independently and communicate within a team environment
• Results oriented
• Flexible and open to change
• Stable and progressive work history
• Professional appearance and demeanor
• Hours during regular work week, Ability to commute daily to local office is required.

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