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Data Science Insurance Jobs (NOW HIRING)

Boeing

Data Scientist (Data Science)

Everett, WA · On-site

$173K - $234K/yr

Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Physics, Engineering ... health insurance, flexible spending accounts, health savings accounts, retirement savings plans ...

PURE Insurance

Director, Data Science

PURE Insurance is actively investing in our data, analytics, data science, machine learning (ML), and artificial intelligence (AI) capabilities. We are building a centralized Data & AI department ...

Boeing

Data Scientist (Data Science)

Everett, WA · On-site

$173K - $234K/yr

Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Physics, Engineering ... health insurance, flexible spending accounts, health savings accounts, retirement savings plans ...

Sia

Data Science Consultant

San Francisco, CA · On-site

Today our strategy and management capabilities are augmented by data science, enhanced by ... Anthem - EPO HSA, EPO HSA MERP, and PPO; dental and vision through MetLife; and life insurance ...

LexisNexis

Manager Data Science

Raleigh, NC · On-site +1

As a Manager, Data Science, you will become a subject matter expert, defining projects and their ... insurance - Dependent care and commuter spending accounts - Life and accident insurance ...

Gartner

Director, Data Science

Arlington, VA · Remote

The Director, Data Science will lead efforts across personalization, recommendation systems, and ... Competitive salary, generous paid time off policy, charity match program, Group Medical Insurance ...

LexisNexis

Manager Data Science

Raleigh, NC · On-site

As a Manager, Data Science, you will become a subject matter expert, defining projects and their ... insurance - Dependent care and commuter spending accounts - Life and accident insurance ...

Gartner

Director, Data Science

Irving, TX · Remote

The Director, Data Science will lead efforts across personalization, recommendation systems, and ... Competitive salary, generous paid time off policy, charity match program, Group Medical Insurance ...

Gartner, Inc.

Director, Data Science

Stamford, CT · On-site

The Director, Data Science will lead efforts across personalization, recommendation systems, and ... Competitive salary, generous paid time off policy, charity match program, Group Medical Insurance ...

Gartner

Director, Data Science

Irving, TX · Remote

The Director, Data Science will lead efforts across personalization, recommendation systems, and ... Competitive salary, generous paid time off policy, charity match program, Group Medical Insurance ...

Gartner

Director, Data Science

Stamford, CT · Remote

The Director, Data Science will lead efforts across personalization, recommendation systems, and ... Competitive salary, generous paid time off policy, charity match program, Group Medical Insurance ...

Walmart

Director- Data Science

Bellevue, WA · On-site

$156K - $312K/yr

Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...

Gartner

Director, Data Science

Arlington, VA · Remote

The Director, Data Science will lead efforts across personalization, recommendation systems, and ... Competitive salary, generous paid time off policy, charity match program, Group Medical Insurance ...

Gartner

Director, Data Science

Stamford, CT · Remote

The Director, Data Science will lead efforts across personalization, recommendation systems, and ... Competitive salary, generous paid time off policy, charity match program, Group Medical Insurance ...

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$108.4K

$204.5K

How much do data science insurance jobs pay per year?

As of Jun 18, 2026, the average yearly pay for data science insurance in the United States is $108,406.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,000.00 and $154,000.00 per year, depending on experience, location, and employer.

What is a Data Science Insurance job?

A Data Science Insurance job involves using data analytics, machine learning, and statistical modeling to assess risks, detect fraud, optimize pricing, and enhance customer experience in the insurance industry. Professionals in this role analyze large datasets to identify patterns and trends that help insurers make data-driven decisions. They work with actuarial teams, underwriters, and claims departments to improve risk assessment and operational efficiency. This role requires expertise in programming languages like Python or R, as well as proficiency in data visualization, predictive modeling, and big data processing.

What are some common challenges faced by data scientists working in the insurance industry?

Data scientists in the insurance sector often encounter challenges like working with large, complex, and sometimes incomplete datasets, as well as navigating strict regulatory frameworks. Balancing the need for highly accurate predictive models with the business's risk appetite and operational constraints is a key aspect of the job. Additionally, there's a strong emphasis on explaining complex analytical findings to non-technical stakeholders such as underwriters, actuaries, or business managers. These challenges foster collaborative problem-solving and help data science professionals sharpen both their technical and communication skills in a real-world environment.

What are the key skills and qualifications needed to thrive in the Data Science Insurance position, and why are they important?

To thrive in Data Science Insurance, you need strong analytical skills, proficiency in statistical modeling, and a solid foundation in mathematics and insurance principles, often supported by a degree in data science or actuarial science. Experience with programming languages like Python or R, data visualization tools, and knowledge of insurance-specific software or relevant certifications like ACAS or CSPA are highly valued. Excellent problem-solving abilities, attention to detail, and clear communication skills are essential for translating complex data into actionable insights for diverse teams. These competencies enable professionals to accurately assess risk, improve decision-making, and drive innovation within insurance organizations.

More about Data Science Insurance jobs
What cities are hiring for Data Science Insurance jobs? Cities with the most Data Science Insurance job openings:
What are the most commonly searched types of Data Science Insurance jobs? The most popular types of Data Science Insurance jobs are:
What states have the most Data Science Insurance jobs? States with the most job openings for Data Science Insurance jobs include:
What job categories do people searching Data Science Insurance jobs look for? The top searched job categories for Data Science Insurance jobs are:
Data Science Insurance jobs near you
Technical Lead (Earnix developer) - San Antonio/ Plano, TX.

Technical Lead (Earnix developer) - San Antonio/ Plano, TX.

Yochana IT Solutions

San Antonio, TX

Other

Posted 8 days ago

Job description

Role: Earnix developer

Location: San Antonio/ Plano, TX

Mode of hire: 6 months C2H

Mandatory skills:

3+ years of experience in:

  • Pricing analytics
  • Predictive modeling
  • Data science
  • Insurance/financial services analytics (preferred)

Strong knowledge of:

  • Statistical analysis
  • Predictive modeling
  • Machine learning concepts
  • Data visualization

Proficiency in:

  • SQL
  • Python or R
  • Excel
  • Tableau / Power BI


Job description:
Key Responsibilities

  • Develop, maintain, and optimize pricing and predictive models using statistical and machine learning techniques.
  • Analyze large datasets to identify pricing trends, customer behavior, and profitability drivers.
  • Support pricing strategy decisions through scenario analysis, forecasting, and simulations.
  • Build dashboards, reports, and visualizations to communicate insights to business stakeholders.
  • Collaborate with business, underwriting, product, and engineering teams to implement pricing solutions.
  • Validate model performance and ensure accuracy, consistency, and compliance with governance standards.
  • Conduct A/B testing and impact analysis for pricing changes and product enhancements.
  • Automate recurring analytical and reporting processes where possible.
  • Translate business requirements into analytical solutions and technical specifications.
  • Monitor market trends, competitor pricing, and customer behavior to recommend pricing adjustments.
  • Support regulatory and audit requests related to pricing models and data usage.


Required Qualifications

Bachelor's degree in:

  • Data Science
  • Statistics
  • Mathematics
  • Economics
  • Computer Science
  • Actuarial Science
  • Engineering
  • Related quantitative field

3+ years of experience in:

  • Pricing analytics
  • Predictive modeling
  • Data science
  • Insurance/financial services analytics (preferred)

Strong knowledge of:

  • Statistical analysis
  • Predictive modeling
  • Machine learning concepts
  • Data visualization

Proficiency in:

  • SQL
  • Python or R
  • Excel
  • Tableau / Power BI

Experience with:

  • Regression models
  • Classification models
  • Forecasting techniques
  • Data mining and segmentation

Thanks & Regards,

Srinivas Mula,

Yochana IT Solutions INC,

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