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Data Scientist Insurance Jobs (NOW HIRING)

hireVouch

Data Scientist

As a Senior Data Scientist, you will play a pivotal role in our data science efforts, with ... Develop and implement advanced predictive models to forecast key risk factors relevant to insurance ...

Mastech Digital

Data Scientist

Irving, TX

$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 ...

Raymondjames

Data Scientist

Saint Petersburg, FL

$137K/yr

Write Python modules to automate Data Science tasks. Review Python code of junior colleagues ... insurance; critical illness insurance and accident insurance; disability benefits; retirement ...

Kforce Technology Staffing

Data Scientist

Queens, NY

We are seeking a Data Scientist to support customer insights and analytics initiatives. This role ... We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and ...

United Educators

Data Scientist

Bethesda, MD · On-site

United Educators (UE) is a member-owned liability insurer serving K-12 schools, colleges and ... The Data Scientist supports the Actuarial & Data Science Department's mission of advancing the use ...

Capital Insurance Group

Data Scientist

Reno, NV · On-site

At Capital Insurance Group we offer our employees more than just a job. We foster career growth ... As a Data Scientist, you will perform in-depth analyses. The results from your projects will ...

Delta Dental of Michigan

Data Scientist

Okemos, MI · Hybrid

Data Scientist Number of Positions: 1 Location: Okemos, MI Location Specifics: Hybrid Position Job ... Knowledge of health or dental insurance, or of dental clinical practice preferred. Position ...

Systems Planning and Analysis

Data Scientist

San Diego, CA · On-site

$125K - $144K/yr

... health insurance, flexible spending accounts, health savings accounts, retirement savings plans ... Bachelor's Degree in Data Science or equivalent * 5 (Five) or more years of professional experience ...

Koniag, Inc.

Data Scientist

Stennis Space Center, MS · On-site

... vision insurance, 401K with company matching, flexible spending accounts, paid holidays, three ... The Data Scientist will be responsible for developing and implementing advanced analytical ...

Delta Dental of Michigan

Data Scientist

Okemos, MI · On-site

Data Scientist Number of Positions: 1 Location: Okemos, MI Location Specifics: Hybrid Position Job ... Knowledge of health or dental insurance, or of dental clinical practice preferred. Position ...

ManTech

Data Scientist

Lexington Park, MD · Hybrid

$91K - $153K/yr

As a Data Scientist on our team, you will play a key role in developing advanced Dashboard ... MANTECH's benefits offerings include, dependent upon position, Health Insurance, Life Insurance ...

Hirevouch

Data Scientist

As a Senior Data Scientist, you will play a pivotal role in our data science efforts, with ... Develop and implement advanced predictive models to forecast key risk factors relevant to insurance ...

Chewy

Data Scientist

Boston, MA · On-site

$110K - $175K/yr

As a Data Scientist II, you will be a key contributor throughout the entire data science lifecycle ... We offer different types of insurance and benefits, such as medical/Rx, vision, dental, life ...

Orion180

Data Scientist

Irving, TX · On-site

Our mission is to deliver an exceptional insurance experience through innovative technology ... We have an exciting and impactful opportunity for a Data Scientist to join our growing analytics ...

Boot Barn

Data Scientist

Irvine, CA · On-site

$100K - $130K/yr

DATA SCIENTIST REPORTS TO: DIRECTOR OF DATA SCIENCE STATUS: EXEMPT Summary Boot Barn is where ... Medical, Dental, Vision and Life Insurance.** * 401(k) plan with generous company matching.

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All JobsData Scientist Insurance Jobs

Data Scientist Insurance information

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$37.5K

$122.7K

$196.5K

How much do data scientist insurance jobs pay per year?

As of Jun 9, 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 May 2026, with employment types broken down into 99% Full Time, and 1% Contract. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Data Scientist

hireVouch

Remote

Other

Posted 16 days ago

Job description

Key Responsibilities:

As a Senior Data Scientist, you will play a pivotal role in our data science efforts, with

responsibilities including, but not limited to, the following:

1. Advanced Analytics: Apply state-of-the-art data science techniques to analyze and extract meaningful

insights from vast and diverse datasets.

2. Predictive Modeling: Develop and implement advanced predictive models to forecast key risk factors

relevant to insurance and potentially other use cases.

3. Collaboration: Collaborate closely with our data engineers, product managers, and other business

stakeholders to translate data insights into actionable strategies and solutions.

4. Data Visualization: Create compelling data visualizations and reports to communicate findings effectively to

both technical and non-technical audiences.

5. Research and Innovation: Stay at the forefront of data science research, exploring new methodologies and

technologies to drive innovation within the company.

Requirements:

3-5 years proven track record as a Data Scientist working with large datasets (e.g., millions of rows), from

prototyping to business impact, analytics and ML use cases

Deep understanding of machine learning and statistical methods with their underlying theory and math

Demonstrated experience in building, deploying, and showing business value from predictive models and

data products

Highly proficient in Python

Proficiency in SQL databases, understanding schemas, and data types

Real-world experience with at least one distributed data platform (preferably Spark)

Solid software development experience, including translating ML models into production software,

especially in collaboration with other engineers

MS or PhD in a quantitative discipline, especially Statistics, Math, or similar

Strong communication skills

Desirable Skills:

Deep Learning, especially Transformers

Experience with GLMs, including for actuarial frequency applications

Boosting algorithms (CatBoost, XGBoost, etc)

Experience with distributed machine-learning frameworks, like Spark, etc.

Creating data pipelines for analytics or ML applications

Experience using AWS (EC2, EMR, S3, etc) or similar cloud provider (Google, Azure, etc.)

Resourceful self-starter and team player with strong leadership skills

Uncompromising attention to details

Proven ability to be creative and resourceful in a fast-paced, entrepreneurial environment

Must be comfortable working independently

React well and quickly to frequent project demands and requirement changes

Excellent analytical, troubleshooting, and problem-solving skills

Strong written and communication skills and positive attitude working with customers and partners

Apply