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Full Time Data Science Insurance Jobs (NOW HIRING)

Data Scientist

Franklin, TN · Remote

$125K - $150K/yr

We are looking for a full-time Data Scientist to join the Data Analytics team. Leveraging advanced analytical techniques, statistical modeling, and/or machine learning, you will partner with the ...

$107K - $115K/hr

Accountability, Mission Driven, Community Focus and Team Oriented.  Syntelligent is seeking a full time Data Scientist for a future opening available with a government customer.*** This is a ...

... a full-time data scientist to join the data analytics team. Leveraging advanced analytical ... This role combines advanced data science techniques with business partnership to identify ...

Data Scientist 3

Lititz, PA · On-site +1

$130K - $150K/yr

... full-time Data Scientist to join the Data ... Science team. The Data Scientists are responsible for supplying statistical rigor to the ...

... full-time Data Scientist to join the Data Science team. The Data Scientists are responsible for ... Minimum 2 years experience applying data science to pricing and demand problems in ecommerce, ...

PURE Insurance is actively investing in our data, analytics, data science, machine learning (ML ... The base salary for this role can range from $170,000 to $200,000 based on a full-time work ...

Director, Data Science

Goshen, AR · On-site

$130K - $260K/yr

Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off ... full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high ...

Director, Data Science

Bella Vista, AR · On-site

$130K - $260K/yr

Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off ... full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high ...

Director, Data Science

Fayetteville, AR · On-site

$130K - $260K/yr

Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off ... full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high ...

Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off ... full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high ...

Director, Data Science

Cave Springs, AR · On-site

$130K - $260K/yr

Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off ... full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high ...

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Showing results 1-20

Full Time Data Science Insurance information

See salary details

$37.5K

$122.7K

$196.5K

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

As of Jun 25, 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 highest paid position in insurance?

In insurance, executive roles such as Chief Underwriting Officer, Chief Risk Officer, or Chief Executive Officer tend to be the highest paid positions, often earning six- to seven-figure salaries. These roles require extensive experience, leadership skills, and industry knowledge, and they oversee strategic decision-making and company performance.

Is 40 too late for data science?

Full Time Data Science roles in insurance and other industries do not have strict age limits; many professionals transition into data science later in their careers. Success depends on skills, experience with tools like Python or R, and continuous learning, regardless of age.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or features. Data scientists often use this rule to focus on the most impactful variables or tasks to improve model performance efficiently.

How is data science used in the insurance industry?

Data science in insurance involves analyzing large datasets to assess risk, set premiums, detect fraud, and improve customer segmentation. Insurance data scientists use statistical models, machine learning algorithms, and tools like Python or R to optimize decision-making and develop predictive models that enhance underwriting and claims processing.

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:
Infographic showing various Full Time Data Science Insurance job openings in the United States as of June 2026, with employment types broken down into 4% As Needed, 64% Full Time, 24% Part Time, and 8% 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, Lincoln, NE only

Data Scientist Intern - In Office, Lincoln, NE only

Sandhills Global, Inc.

Lincoln, NE • On-site

Full-time, Internship

Posted 29 days ago


Sandhills Global rating

8.0

Company rating: 8.0 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

8th of 17 rated publishing


Job description

Data Scientist Intern - In Office, Lincoln, NE only
Lincoln, Nebraska, 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. Assume other duties as assigned.
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.