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Data Science Insurance Jobs in North Carolina (NOW HIRING)

GDIT

Data Scientist Mid

Fort Liberty, NC · Hybrid

$109K - $148K/yr

Data Science and Data Engineering Job Qualifications: Skills: Data Science, Git, Python ... insurance are provided or available. We regularly review our Total Rewards package to ensure our ...

Guidehouse

Epidemiologist Data Scientist

Charlotte, NC

$80K - $133K/yr

Data Science & Analysis Travel Required: Up to 10% Clearance Required: Ability to Obtain Public ... Medical, Rx, Dental & Vision Insurance * Personal and Family Sick Time & Company Paid Holidays

Q2 India

Senior Data Scientist

Cary, NC · On-site

$140 - $200/hr

Proven ability to lead end-to-end data science projects from discovery through production ... Health & Wellness Benefits, including competitive health insurance offerings and generous paid ...

Q2 Software, Inc.

Senior Data Scientist

Cary, NC · On-site

Proven ability to lead end-to-end data science projects from discovery through production ... Health & Wellness Benefits, including competitive health insurance offerings and generous paid ...

Q2

Senior Data Scientist

Cary, NC · Hybrid

Proven ability to lead end-to-end data science projects from discovery through production ... Health & Wellness Benefits, including competitive health insurance offerings and generous paid ...

Munich RE

Data Scientist

Charlotte, NC · On-site

... science/predictive analytics experience in (re)insurance or 4 or more years predictive modeling experience in another industry. * Sr. Data Scientist: 4 or more years of data science/predictive ...

LexisNexis

Senior Data Scientist III

Raleigh, NC

$115K - $192K/yr

Do you want to help us build further data science capabilities? And are you eager to work on the ... Short-and-Long Term Disability, Life and Accidental Death Insurance, Critical Illness, and Hospital ...

LexisNexis

Senior Data Scientist III

Raleigh, NC · On-site

$115K - $192K/yr

Do you want to help us build further data science capabilities? And are you eager to work on the ... Short-and-Long Term Disability, Life and Accidental Death Insurance, Critical Illness, and Hospital ...

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Showing results 21-40

All JobsData Science Insurance JobsData Science Insurance Jobs in North Carolina

Data Science Insurance information

See North Carolina salary details

$17.8K

$83.8K

$158.1K

How much do data science insurance jobs pay per year?

As of Aug 19, 2026, the average yearly pay for data science insurance in North Carolina is $83,825.00, according to ZipRecruiter salary data. Most workers in this role earn between $40,209.00 and $119,080.00 per year, depending on experience, location, and employer.

What is a data science insurance?

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 the key skills and qualifications needed to thrive in data science insurance?

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.

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 most commonly searched types of Data Science Insurance jobs in North Carolina?

The most popular types of Data Science Insurance jobs in North Carolina are:

What are popular job titles related to Data Science Insurance jobs in North Carolina?

For Data Science Insurance jobs in North Carolina, the most frequently searched job titles are:

What job categories do people searching Data Science Insurance jobs in North Carolina look for?

The top searched job categories for Data Science Insurance jobs in North Carolina are:

Data Science Insurance jobs near you
Infographic showing various Data Science Insurance job openings in North Carolina as of August 2026, with employment types broken down into 86% Full Time, 9% Part Time, and 5% Contract. Highlights an 72% In-person, 14% Hybrid, and 14% Remote job distribution, with an average salary of $83,825 per year, or $40.3 per hour.

Need AI/ML Data Science Lead contract jobs at Cary, NC

Tech Mirrors

Cary, NC • On-site

$120 - $180/hr

Other

Posted yesterday

New

Job description

Job Title: AI/ML Data Science Lead

Location: Cary, NC (Need locals)

Duration: Contract

Key Responsibilities
  • Team Leadership: Lead the solution and a team of data scientists delivering AI and ML solution for marketing and business engagement use cases
  • Ownership: Accountability for technical decisions, project outcomes, timelines, and production stability within a defined domain.
  • Planning and Business alignment: Lead the planning and execution of data science use cases, ensuring alignment with business goals and objectives.
  • Model Development: Design, train, and optimize machine learning and deep learning models for a variety of marketing and business engagement use cases
  • Data Analysis: Analyze complex data sets to identify trends, patterns, and actionable insights that can inform business strategies.
  • Collaboration: Collaborate with stakeholders and cross-functional teams to develop and implement data-driven solutions.
  • Platform Integration: Enable seamless integration of AI capabilities into business applications and workflows through APIs, SDKs, and microservices.
  • Stakeholder Communication: Visualize data, create reports, and present findings to senior management and cross-functional teams.
  • Develop statistical models, analytics, and Machine Learning algorithms using Python and cloud tools (Azure).
  • Research and Innovation: Stay up to date with the latest advances in AI, Data Science, and Machine Learning.
  • ML-Ops Best Practices: Optimize platform components for efficiency, scalability, and reliability using best practices in distributed computing, resource management, and cloud-native architectures.
Essential Business Experience and Technical Skills Required
  • Bachelor’s or master’s degree in computer science, Data Science, Engineering, Mathematics, or a related field.
  • 8+ years of overall experience in AI/ML engineering and/or data science.
  • 5+ years of insurance business and/or financial industry experience with sales, marketing, and/or customer engagement analytics.
  • Proven experience designing, deploying, and operating production ML and/ or GenAI solutions, including APIs, batch, and real-time inference.
  • Experience in developing Machine Learning models using Python (preferably in the cloud)
  • Familiarity with best practices for responsible AI, including data privacy, bias mitigation, and/or model monitoring.
  • Strong SQL knowledge and data analysis skills for data anomaly detection and Exploratory Data Analysis.
  • Experience with Dominos, Power BI, and/or Azure ML
  • Statistical Knowledge: A strong understanding of statistics and mathematics is essential for data analysis and prediction.
  • Use predictive modeling or AI solutions to increase and optimize customer experience/communication, revenue generation, ad targeting, and other business outcomes
  • Very good presentation skills to present results clearly and effectively by creating presentations with storytelling, visualizations & results
  • Very good problem solver and excellent communication skills – both written and verbal
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