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

Sr Data Scientist - Commercial

Atlanta, GA · On-site

$94.50 - $115.50/hr

Master's degree in operations research, statistics, computer science, or a related quantitative ... Voluntary Insurance Programs - Pet, Legal/Identity Theft, Critical Illness * Perks & Discounts ...

We are passionate about making science easy and accessible to retailers, helping them get more ... Great medical insurance & 401K with matching * On Wednesdays, we have free lunches, and our office ...

We are passionate about making science easy and accessible to retailers, helping them get more ... Great medical insurance & 401K with matching * On Wednesdays, we have free lunches, and our office ...

We are passionate about making science easy and accessible to retailers, helping them get more ... Great medical insurance & 401K with matching * On Wednesdays, we have free lunches, and our office ...

We are passionate about making science easy and accessible to retailers, helping them get more ... Great medical insurance & 401K with matching * On Wednesdays, we have free lunches, and our office ...

Minimum of 5 years hands-on experience in a data science or data analytics role * Minimum 2 years ... Voluntary Insurance Programs - Pet, Legal/Identity Theft, Critical Illness * Perks & Discounts ...

Sr Data Scientist

Atlanta, GA · On-site

$105K/yr

Minimum of 5 years hands-on experience in a data science or data analytics role * Minimum 2 years ... Voluntary Insurance Programs - Pet, Legal/Identity Theft, Critical Illness * Perks & Discounts ...

AIG is a leading global insurance organization that is investing in a new Generative AI team to explore innovative applications of artificial intelligence. The Ph.D. Research Data Scientist will be ...

Our insurance risk solutions help drive better data-driven decisions across the insurance policy ... Requirements * Experience leading complex data science or attribute development projects ...

Senior Data Scientist I

Alpharetta, GA · On-site

$95K - $158K/yr

Our insurance risk solutions help drive better data-driven decisions across the insurance policy ... Requirements * Experience leading complex data science or attribute development projects ...

Senior Data Scientist I

Alpharetta, GA · On-site

$95K - $158K/yr

Our insurance risk solutions help drive better data-driven decisions across the insurance policy ... Requirements * Experience leading complex data science or attribute development projects ...

Showing results 41-60

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 9, 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 II - Fraud Reporting

Truist

Atlanta, GA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


Truist rating

7.9

Company rating: 7.9 out of 10

Based on 117 frontline employees who took The Breakroom Quiz

79th of 170 rated banks


Job description

The position is described below. If you want to apply, click the Apply Now button at the top or bottom of this page. After you click Apply Now and complete your application, you'll be invited to create a profile, which will let you see your application status and any communications. If you already have a profile with us, you can log in to check status.

Need Help?

If you have a disability and need assistance with the application, you can request a reasonable accommodation. Send an email to Accessibility (accommodation requests only; other inquiries won't receive a response).

Regular or Temporary:

Regular

Language Fluency: English (Required)

Work Shift:

1st shift (United States of America)Please review the following job description:Perform sophisticated analytics (statistical and predictive analytics, machine learning modeling, etc.) to provide actionable insights that improve business outcomes and minimize risk and also provide consultation to business leaders and other stakeholders on how to leverage analytics insights and build strategies around analytics.
For this opportunity, Truist will not sponsor an applicant for work visa status or employment authorization, nor will we offer any immigration-related support for this position (including, but not limited to H-1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN-1 or TN-2, E-3, O-1, or future sponsorship for U.S. lawful permanent residence status.)

This is a fully on-site position, Teammates are expected to be in the office five days a week

Essential Duties and Responsibilities:

Following is a summary of the essential functions for this job. Other duties may be performed, both major and minor, which are not mentioned below. Specific activities may change from time to time.

  • Independently perform sophisticated data analytics (ranging from classical econometrics to machine learning, neural networks, and natural language processing) in a variety of environments using structured and unstructured data.

  • Produce compelling data visualizations to communicate insights and influence outcomes among a wide array of stakeholders.

  • Take accountability and ownership of end-to-end data science solution design, technical delivery, and measurable business outcome.

  • Engage in stakeholder meetings to identify business objectives and scope solution requirements.

  • Independently write, document, and deploy custom code in a variety of environments (Python, SAS, R, etc.) to create predictive analytics applications.

  • Use, maintain, share and collaborate through Truist internal code repositories to foster continual learning and cross-pollination of skillsets.

  • Actively research and advocate adoption of emerging methods and technologies in the data science field, with the eye of continually advancing Truist's capabilities.

  • Exercise sound judgment and foster risk management culture throughout design, development, and deployment practices; partner with cross-functional teams to coordinate rules on data usage, data governance and analytics capabilities.

Required Qualifications:

The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

  • Bachelor's degree and four or more years of experience in a quantitative field such as Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering, or equivalent education and related training

  • Exhibit understanding of statistical methods, including a broad understanding of classical statistics, probability theory, econometrics, time-series, and primary statistical tests

  • Familiarity with linear algebra concepts for optimization, complex matrix operations, eigenvalue decompositions, and principal components; working knowledge of calculus/differential equations, with understanding of stochastic processes

  • Demonstrate understanding of data cleansing and preparation methodologies, including regex, filtering, indexing, interpolation, and outlier treatment

  • Strong familiarity with data extraction in a variety of environments (SQL, JQuery, etc.)

  • Working knowledge of Hadoop, Pig, Hive, and/or NoSQL, Spark

  • Experience in managing multiple projects with tight deadlines in a collaborative environment

Preferred Qualifications:

  • Master's degree or PhD in a quantitative field such as Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering

  • Four years of relevant work experience if candidate lacks graduate degree

  • Previous experience in the banking or fin-tech industry

General Description of Available Benefits for Eligible Employees of Truist Financial Corporation: All regular teammates (not temporary or contingent workers) working 20 hours or more per week are eligible for benefits, though eligibility for specific benefits may be determined by the division of Truist offering the position.Truist offers medical, dental, vision, life insurance, disability, accidental death and dismemberment, tax-preferred savings accounts, and a 401k plan to teammates. Teammates also receive no less than 10 days of vacation (prorated based on date of hire and by full-time or part-time status) during their first year of employment, along with 10 sick days (also prorated), and paid holidays. For more details on Truist's generous benefit plans, please visit our Benefits site. Depending on the position and division, this job may also be eligible for Truist's defined benefit pension plan, restricted stock units, and/or a deferred compensation plan. As you advance through the hiring process, you will also learn more about the specific benefits available for any non-temporary position for which you apply, based on full-time or part-time status, position, and division of work.

Truist is an Equal Opportunity Employer that does not discriminate on the basis of race, gender, color, religion, citizenship or national origin, age, sexual orientation, gender identity, disability, veteran status, or other classification protected by law. Truist is a Drug Free Workplace.

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About Truist

Sourced by ZipRecruiter

Truist is combining distinctive personal service with investments in innovation to create transformational client experiences. We believe the unique blend of human touch and innovative technology will set us apart, instill confidence, and build deeper levels of trust with our clients

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

Charlotte, NC, US

Year founded

2019