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Data Scientist Insurance Jobs (NOW HIRING)

Innovizant LLC

Data Scientist

Madison, WI · On-site

... Insurance and credit union business in achieve their business goals. Innovizant made up of exceptional data scientists and domain experts with a great experience in Our financial services industry ...

Innovizant LLC

Data Scientist

Madison, WI

... Insurance and credit union business in achieve their business goals. Innovizant made up of exceptional data scientists and domain experts with a great experience in Our financial services industry ...

Sphinx LLC

Data Scientist

Quantico, VA · Remote

$150K - $225K/yr

Data Scientist Sphinx Data Scientists provide an array of data analytics, engineering, mining, and ... Vision insurance

State Farm

Data Scientist

Tempe, AZ

Experience with gathering and interpreting business requirements for designing and scalable data science solutions in a regulatory environment (including but not limited to insurance, healthcare, and ...

State Farm

Data Scientist

Richardson, TX

Experience with gathering and interpreting business requirements for designing and scalable data science solutions in a regulatory environment (including but not limited to insurance, healthcare, and ...

Jerry Insurance Agency, LLC

Data Scientist

New York, NY · On-site

$130K - $150K/yr

We started with car insurance in 2019, became one of the top 3 brokers in the U.S., then added ... Why We're Hiring Our Data Science & Analytics team has been a force multiplier and accelerant to ...

State Farm

Data Scientist

Bloomington, IL · On-site

Experience with gathering and interpreting business requirements for designing and scalable data science solutions in a regulatory environment (including but not limited to insurance, healthcare, and ...

State Farm

Data Scientist

Bloomington, IL

Experience with gathering and interpreting business requirements for designing and scalable data science solutions in a regulatory environment (including but not limited to insurance, healthcare, and ...

State Farm

Data Scientist

Dunwoody, GA

Experience with gathering and interpreting business requirements for designing and scalable data science solutions in a regulatory environment (including but not limited to insurance, healthcare, and ...

Auto-Owners Insurance

Data Scientist

Lansing, MI · On-site

Auto-Owners Insurance, a top-rated insurance carrier, is seeking a data scientist to join our analytics teams. The position requires the person to: * Use statistical and machine learning techniques ...

Aivra Health LLC

Data Scientist

Chicago, IL · On-site

Data Scientist Location: New York, NY, USA (Hybrid/On-site/Remote) Job Type: Full-Time About the ... Health Insurance * Paid Time Off * Flexible Work Schedule * Learning & Development * 401(k)

State Farm

Data Scientist

Richardson, TX · Hybrid

Develops models that support State Farm's insurance pricing and underwriting decisions Data Science at State Farm : As a Data Scientist at State Farm, you will serve as a subject matter expert and ...

State Farm

Data Scientist

Bloomington, IL · On-site

Develops models that support State Farm's insurance pricing and underwriting decisions Data Science at State Farm : As a Data Scientist at State Farm, you will serve as a subject matter expert and ...

Mastech Digital

Data Scientist

Irving, TX · On-site

$65 - $70/hr

We are currently seeking a Data Scientist for our client in the Retail domain. We value our ... Ortho) & Vision Insurance (Option to Enroll). - Paid Leaves (Wherever applicable). - Life ...

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All JobsData Scientist Insurance Jobs

Data Scientist Insurance information

See salary details

$37.5K

$122.7K

$196.5K

How much do data scientist insurance jobs pay per year?

As of Jul 21, 2026, the average yearly pay for data scientist 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 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, and why are they important?

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.
More about Data Scientist Insurance jobs
What cities are hiring for Data Scientist Insurance jobs? Cities with the most Data Scientist Insurance job openings:
What states have the most Data Scientist Insurance jobs? States with the most job openings for Data Scientist Insurance jobs include:
What job categories do people searching Data Scientist Insurance jobs look for? The top searched job categories for Data Scientist Insurance jobs are:
Data Scientist Insurance jobs near you
Infographic showing various Data Scientist 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

Data Scientist

Innovizant LLC

Madison, WI • On-site

Full-time

Posted 11 days ago

Job description

Company Description
Innovizant LLC (headquartered in Chicago, USA) is a leading-edge, global IT Services organization with Sales and delivery offices in Asia. Innovizant LLC, is a Full-service IT provider, focused on delivering Innovative and value driven business analytical solutions leveraging data science, data engineering and decision science to provide winning actionable insights assisting our financial services clients banking, Insurance and credit union business in achieve their business goals.
Innovizant made up of exceptional data scientists and domain experts with a great experience in Our financial services industry solutions include Credit Risk insights, Customer Churn analysis, Customer segmentation, Fraud detection, Asset and Liability analysis, channel optimization analytics, Financial Advisor Network Analytics and product bundling analytics.
Some of our sur accelerators and solution frameworks assist our clients including FIN-CDO (which provided pre-delivered data strategies for the office of Chief Data Officer), BASEL-PRO (for achieving compliance with industry requirements of Basel-BCBS239,) and SmartCECL (Risk mitigation strategies by predicting default and loss given a default)
With data becoming the new 'oxygen' of businesses, many data science consulting firms have evolved in recent times, and they are also contributing the best of their solutions to the modern-day clients. It means today; you can easily find a solution for data sciences. However, the biggest challenge during managing this data comes across in the terms of 'Value Realization'. The true measure of success is to be able to put the data science insights into actionable events.
Many organizations have ended up spending a significant chunk of their analytics budget in some implementing data sciences solution - with minimal to no returns.
Job Description
Role: Data Scientist
Location: Madison, WI
Full Time (Direct Hire)
Job description
• 5+ Years of total experience and 2-4 years of in-depth and superlative experience in Data Science.
• Experience in Statistical modeling.
• Candidate will be helping the client to lead this process or improve upon the program.
• Extremely proficient in Data Analysis, data wrangling, model development, software development, A/B Testing, Back Testing.
• Extremely efficient in Python and R.
• Extremely efficient in identifying right analytics model methods and using them. Gradient Boosting, Decision Tree, Regression - are absolutely must.
• Exposure to Insurance (especially consumer Insurance/Retail Insurance) is a minor edge.
• MS in AI/Data Science would also be a plus.
Qualifications
Data Science, Analysis, Python, R, Statistical Modeling, Machine Learning
Additional Information
Thanks & Regards,
Aditya Prakash / Resource Manager / Innovizant LLC
Phone : 630-685-1260
aditya.prakash(AT)innovizant(DOT)com

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