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Data Scientist Insurance Jobs in Texas (NOW HIRING)

Data Scientist

Irving, TX · On-site

$90K - $125K/yr

Location Denver CO Your Role The GenAI Engineer / Data Scientist role focuses on developing ... Life and disability insurance * Employee assistance programs * Other benefits as provided by local ...

Data Scientist

Dallas, TX · On-site

$90K - $125K/yr

Location Denver CO Your Role The GenAI Engineer / Data Scientist role focuses on developing ... Life and disability insurance * Employee assistance programs * Other benefits as provided by local ...

The Data Scientist II will work closely with senior team members to design, build, and deploy data ... Company : SWBC is a provider of insurance, mortgage, and investment services to financial ...

Data Scientist

Austin, TX · On-site

$60 - $65/hr

A client of Innova Solutions is immediately hiring for a " Data Scientist" Position type: Full-time ... Medical & pharmacy coverage, Dental/vision insurance, 401(k), Health saving account (HSA) and ...

AI Data Scientist Description - About the Position The HP Enterprise AI & Machine Learning ... Health insurance Dental insurance Vision insurance Long term/short term disability insurance ...

Kforce has a client that is seeking a Data Scientist in Houston, TX. Key Tasks: * Developing and ... We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and ...

The Senior Data Scientist will act as a technical leader, mentoring the Data Science team and ... Financial services or insurance experience preferred. • Exceptional communication and leadership ...

Lead Data Scientist

Frisco, TX · On-site +1

$144K - $250K/yr

The Lead Data Scientist is pivotal in generating insights and supporting the enterprise's data ... life insurance, supplemental medical plans, and short and long-term disability) to eligible ...

At least 3 years of experience in a data analyst, data science, or comparable analytical role while in an insurance brokerage environment. • Strong organizational skills with the ability to manage ...

Data Scientist II Our Opportunity We are seeking a hands-on and highly motivated Data Scientist II ... We offer different types of insurance and benefits, such as medical/Rx, vision, dental, life ...

The Senior Data Scientist will serve as a subject matter expert and strategic partner to business ... Financial services or insurance experience preferred. * Exceptional communication and leadership ...

The Senior Data Scientist will serve as a subject matter expert and strategic partner to business ... Financial services or insurance experience preferred. * Exceptional communication and leadership ...

The Senior Data Scientist will serve as a subject matter expert and strategic partner to business ... Financial services or insurance experience preferred. * Exceptional communication and leadership ...

KPMG is currently seeking a Data Scientist to join our Audit Technology Alliance organization ... life insurance, 401(k) plans, and a robust suite of personal well-being benefits to support your ...

Additional benefits: pet insurance, maternity/paternity leave, employee assistance programs, discount programs, tuition reimbursement program, and more! What you'll do as a Data Scientist: * Perform ...

Sr. Data Scientist

Richardson, TX · On-site

$113K - $148K/yr

What Drives Success We are seeking a motivated and analytical Data Scientist to develop machine ... vision insurance; prescription drug coverage; 401(k) retirement plan; short-term disability ...

Showing results 21-40

Data Scientist Insurance information

See Texas salary details

$34.9K

$114.3K

$183.1K

How much do data scientist insurance jobs pay per year?

As of Aug 9, 2026, the average yearly pay for data scientist insurance in Texas is $114,350.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,800.00 and $126,700.00 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?

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.
What job categories do people searching Data Scientist Insurance jobs in Texas look for? The top searched job categories for Data Scientist Insurance jobs in Texas are:
What cities in Texas are hiring for Data Scientist Insurance jobs? Cities in Texas with the most Data Scientist Insurance job openings:
Infographic showing various Data Scientist Insurance job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 20% Part Time, and 5% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution, with an average salary of $114,350 per year, or $55 per hour.

$90K - $125K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago


United Airlines rating

7.9

Company rating: 7.9 out of 10

Based on 341 frontline employees who took The Breakroom Quiz

7th of 26 rated airlines


Job description

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired bya collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizationsunlock the value of technology and build a more sustainable, more inclusive world.

Location

Denver CO

Your Role

The GenAI Engineer / Data Scientist role focuses on developing, deploying, and scaling Generative AI and Predictive AI solutions that drive business value. The position combines expertise in AI/ML, APIs, cloud platforms, data engineering, MLOps, and agentic AI workflows to build production-ready AI applications and automation solutions.


Key Responsibilities


AI & Machine Learning Development
Develop and deploy:
Generative AI solutions (GPT, Claude, Stable Diffusion)
Predictive AI models (regression, classification, clustering)
NLP and Computer Vision applications
Build intelligent AI agents and agentic workflows to automate business processes.
Implement Retrieval-Augmented Generation (RAG) and multimodal AI solutions.
Application Architecture & API Integration
Design AI-enabled applications and integrations using:
REST APIs
JSON services
Authentication and Tokens
HTTP protocols and API endpoints
Handle API security, rate limiting, debugging, error handling, and documentation.
Model Deployment & MLOps
Deploy AI models into production environments.
Monitor model performance, scalability, and reliability.

Required Skills and Experience


Bachelor's degree or higher in AI, Machine Learning, Computer Science, or a related field.
3-5 years of experience in AI, Machine Learning, Data Science, or Application Development.
Experience deploying and managing production AI solutions with MLOps practices.


Ideal Candidate
A hands-on GenAI Engineer/Data Scientist with strong expertise in Generative AI, LLMs, AI agents, Python, SQL, cloud platforms, MLOps, APIs, and data engineering, capable of building and operating enterprise-scale AI solutions from development through production deployment.

The base compensation range for this role in the posted location is $90,000- $125,000

Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.

The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.

These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.

It is not typical for candidates to be hired at or near the top of the posted compensation range.

In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.

Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include: 

  • Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave
  • Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
  • Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
  • Life and disability insurance
  • Employee assistance programs
  • Other benefits as provided by local policy and eligibility

Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini's discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.

Disclaimers

Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect.  We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.

This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.

Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.

Click the following link for more information on your rights as an Applicant in the United States.  http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.


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Hours and flexibility

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About United Airlines

Sourced by ZipRecruiter

United Airlines is embarking on an exciting journey to become the best airline in aviation history. Our purpose, "Connecting People, Uniting the World," extends beyond transportation, emphasizing our commitment to uplift and create opportunities in the places we serve. With a global presence and diverse workforce, we value inclusivity and are dedicated to hiring tens of thousands of individuals across various roles. Our comprehensive benefits package, including perks like space available travel, parental leave, and 401k, aims to support your well-being and growth.

Industry

Aviation

Company size

10,000+ Employees

Headquarters location

Chicago, IL, US

Year founded

1926

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