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Data Science Insurance Jobs in Atlanta, GA (NOW HIRING)

The Insurance Analytics team are the trusted leaders in analytics excellence, delivering innovative, data-driven solutions through cutting-edge data science and strategic risk solutions to drive ...

Data Scientist I (DSAP)

Alpharetta, GA · On-site

$59K - $98K/yr

The Insurance Analytics team are the trusted leaders in analytics excellence, delivering innovative, data-driven solutions through cutting-edge data science and strategic risk solutions to drive ...

Bachelor's degree in computer science, Engineering, Applied Mathematics or related STEM field ... This package includes employer subsidized Medical, Dental, Vision, and Life Insurance; Short-Term ...

AIG is a leading global insurance organization providing innovative solutions in Generative AI. As a Data Scientist, you will play a critical role in developing and delivering enterprise-level ...

You will also be responsible for recommending innovative solutions by using various data science ... This package includes employer subsidized Medical, Dental, Vision, and Life Insurance; Short-Term ...

You will also be responsible for recommending innovative solutions by using various data science ... This package includes employer subsidized Medical, Dental, Vision, and Life Insurance; Short-Term ...

Kemper is one of the nation's leading specialized insurers. Our success is a direct reflection of ... The Kemper Claims Data Science team has an immediate opening for a Data Scientist to make lasting ...

AWS Data Scientist

Atlanta, GA · On-site

$80K - $90K/yr

The role requires hands-on experience across the full data science lifecycle and close ... Life and disability insurance * Employee assistance programs * Other benefits as provided by local ...

AWS Data Scientist

Atlanta, GA · On-site

$85K - $105K/yr

The role requires hands-on experience across the full data science lifecycle and close ... Life and disability insurance * Employee assistance programs * Other benefits as provided by local ...

AWS Data Scientist

Atlanta, GA · On-site

$80K - $90K/yr

The role requires hands-on experience across the full data science lifecycle and close ... Life and disability insurance * Employee assistance programs * Other benefits as provided by local ...

AWS Data Scientist

Atlanta, GA · On-site

$80K - $90K/yr

The role requires hands-on experience across the full data science lifecycle and close ... Life and disability insurance * Employee assistance programs * Other benefits as provided by local ...

Showing results 21-40

Data Science Insurance information

See Atlanta, GA salary details

$22.8K

$107.3K

$202.5K

How much do data science insurance jobs pay per year?

As of Aug 7, 2026, the average yearly pay for data science insurance in Atlanta, GA is $107,320.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,479.00 and $152,457.00 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 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.

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 enhance underwriting processes.

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.

Infographic showing various Data Science Insurance job openings in Atlanta, GA as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 20% Part Time, and 6% Contract. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution, with an average salary of $107,320 per year, or $51.6 per hour.

Data Scientist I (DSAP)

RELX

Alpharetta, GA

$59K - $98K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 9 days ago


Job description

About the Business

LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within Insurance, we provide customers with solutions and decision tools that combine public and industry specific content with advanced technology and analytics to assist them in evaluating and predicting risk and enhancing operational efficiency. Our insurance risk solutions help drive better data-driven decisions across the insurance policy lifecycle - all while reducing risk. You can learn more about LexisNexis Risk at the link below. https://risk.lexisnexis.com/insurance

About our Team:

The Insurance Analytics team are the trusted leaders in analytics excellence, delivering innovative, data-driven solutions through cutting-edge data science and strategic risk solutions to drive market leadership, impactful change, and lasting value for our customers and stakeholders. The team is responsible for new product innovation, model development, and creating actionable insights for our customers. We work closely with the Vertical and Product teams to design and implement new solutions for the insurance and OEM markets. By harnessing the power of data, our analytics team empowers insurers to make informed decisions, optimize risk segmentation, and enhance underwriting strategies, ultimately driving success in an ever-evolving insurance landscape.

About the Role

We are seeking a highly motivated data scientist to join the Data Science Accelerator Program (DSAP) that provides broad learning opportunities across the Data Science organization within the LexisNexis Insurance Division. Successful candidates will holistically learn our business during this two-year program while rotating through a series of Analytical product development related assignments and projects. The role will be Hybrid located at our headquarters in Alpharetta, GA and may include some travel.

Responsibilities:

  • Assist with assembling, cleaning, and organizing large datasets to prepare them for analysis.
  • Support team members in merging and parsing data to uncover trends and patterns.
  • Learn to apply statistical and machine learning techniques under the guidance of senior data scientists.
  • Help document model code, track results, and contribute to validating predictive models.
  • Assist in creating attributes and rules from raw data to support analytic projects.
  • Contribute to data visualization efforts to communicate findings.
  • Participate in preparing responses to client inquiries regarding data, score calculations, or analytic outputs.
  • Document work clearly and practice presenting results in a team setting.

Requirements:

  • Hold a bachelor's in data science/analytics, Computer Science, Mathematics, or other degrees in fields like Engineering, Economics, and Business.
  • Coursework or project experience in Python or R; familiarity with SQL is a plus
  • Interest in data analysis, predictive modeling, and machine learning.
  • Exposure to data visualization tools (e.g., Tableau, Power BI, Matplotlib, Seaborn) is desirable.
  • Strong problem-solving skills with a willingness to learn and adapt.
  • Ability to communicate ideas clearly and work collaboratively with others

Working for you:

We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:

  • Health Benefits: Comprehensive, multi-carrier program for medical, dental and vision benefits

  • Retirement Benefits: 401(k) with match and an Employee Share Purchase Plan

  • Wellbeing: Wellness platform with incentives, Headspace app subscription, Employee Assistance and Time-off Programs

  • Short-and-Long Term Disability, Life and Accidental Death Insurance, Critical Illness, and Hospital Indemnity

  • Family Benefits, including bonding and family care leaves, adoption and surrogacy benefits

  • Health Savings, Health Care, Dependent Care and Commuter Spending Accounts

  • In addition to annual Paid Time Off, we offer up to two days of paid leave each to participate in Employee Resource Groups and to volunteer with your charity of choice

Learn more about the LexisNexis Risk team and how we work here.

U.S. National Base Pay Range: $59,200 - $98,600. Geographic differentials may apply in some locations to better reflect local market rates. This job is eligible for an annual incentive bonus.

We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.

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