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Data Science Insurance Jobs in Houston, TX (NOW HIRING)

Senior AI/ML Engineer

Texas City, TX · On-site

$89K - $122K/yr

Experience in Banking, Healthcare, Insurance, Retail, or Financial Services domains. Education Bachelor''s or Master''s degree in Computer Science, Artificial Intelligence, Data Science, Engineering ...

New

Drives innovation and integration of new data science related technologies and practices into ... Dental insurance * Vision insurance * Long term/short term disability insurance * Employee ...

Data Solutions - Data Engineer

Spring, TX · On-site

$130K - $205K/yr

Education & Experience Recommended Four-year or Graduate Degree in Computer Science, Information ... Dental insurance * Vision insurance * Long term/short term disability insurance * Employee ...

Desk Apps Developer

Houston, TX

$16.25 - $20.75/hr

Bachelor's degree or foreign equivalent in Data Science or a related field and 2 years of ... Life insurance * Short-term & Long-term disability All your information will be kept confidential ...

Desk Apps Developer

Houston, TX

$16.25 - $20.75/hr

Bachelor's degree or foreign equivalent in Data Science or a related field and 2 years of ... Life insurance * Short-term & Long-term disability All your information will be kept confidential ...

Desk Apps Developer

Houston, TX · On-site

$16.25 - $20.75/hr

Bachelor's degree or foreign equivalent in Data Science or a related field and 2 years of ... Life insurance * Short-term & Long-term disability All your information will be kept confidential ...

... Science, Insurance, legal, healthcare, among others. It also offers outsourcing, consulting ... Enterprise Solutions, Web Development, Data Warehousing, Systems Integration, IT Security, Storage ...

Showing results 41-60

Data Science Insurance information

See Houston, TX salary details

$22.3K

$105.1K

$198.2K

How much do data science insurance jobs pay per year?

As of Aug 8, 2026, the average yearly pay for data science insurance in Houston, TX is $105,069.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,398.00 and $149,258.00 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.

What are the most commonly searched types of Data Science Insurance jobs in Houston, TX? The most popular types of Data Science Insurance jobs in Houston, TX are:
What job categories do people searching Data Science Insurance jobs in Houston, TX look for? The top searched job categories for Data Science Insurance jobs in Houston, TX are:
What cities near Houston, TX are hiring for Data Science Insurance jobs? Cities near Houston, TX with the most Data Science Insurance job openings:
Infographic showing various Data Science Insurance job openings in Houston, TX as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 20% Part Time, and 5% Contract. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution, with an average salary of $105,069 per year, or $50.5 per hour.

Senior Applications System Analyst

MD Anderson

Houston, TX • On-site, Remote

$106K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 13 days ago


MD Anderson Cancer Center rating

8.4

Company rating: 8.4 out of 10

Based on 170 frontline employees who took The Breakroom Quiz

24th of 887 rated healthcare providers


Job description

The Senior Applications Systems Analyst position is responsible for providing technical leadership and expertise in the design, development, deployment, and support of data-driven applications, analytics platforms, and research systems. The role focuses on developing secure, scalable solutions for data collection, processing, integration, analysis, and reporting, while supporting complex research and business requirements. This position works closely with stakeholders to define system objectives, analyze requirements, and implement innovative solutions using modern software engineering and data science practices. The incumbent also serves as a mentor, providing technical guidance and knowledge sharing to team members.
To be successful in this position, the individual must possess strong expertise in Python development, data analysis, data engineering, and scientific computing. Experience with Python libraries and frameworks such as Pandas, NumPy, SciPy, Jupyter, and related data science tools is highly desirable. The successful candidate should be comfortable working in Linux environments, using command-line interfaces (CLI), container technologies such as Docker, and modern development workflows. Experience with relational databases, cloud platforms, API development, version control, and automated deployment processes is also important. Familiarity with research, healthcare, or large-scale data platforms and experience working in agile development environments would be considered assets. This position may also be asked to serve as a technical lead or product owner.
Minimum $106,500 - Midpoint $133,000 - Maximum $159,500
Work Location: 100% remote within Texas, with onsite presence in the medical center a few times per month. Prefer a local candidate.
Why Us?
This role offers the opportunity to drive impactful technical solutions that directly support UT MD Anderson's mission to eliminate cancer. As a Senior Applications Systems Analyst, you will lead complex projects, mentor team members, and work with cutting-edge technologies in a collaborative and flexible environment that supports professional growth and work-life balance.
• Employer-paid medical coverage starting day one for employees working 30+ hours/week, plus optional group dental, vision, life, AD&D, and disability insurance.
• Accruals for PTO and Extended Illness Bank, plus paid holidays, wellness, childcare, and other leave options.
• Tuition Assistance Program after six months of service and access to extensive wellness, fitness, and employee resource groups.
• Defined-benefit pension through the Teachers Retirement System, voluntary retirement plans, and employer-paid life and reduced salary protection programs.
EDUCATION
  • Required: Bachelor's Degree
  • Preferred: Bachelor's or Master's degree in Computer Science or Data Science degree.

WORK EXPERIENCE
  • Required: 5 years Experience in epic software, domain, analysis, design, project management, or programming.
  • May substitute required education degree with additional years of equivalent experience on a one to one basis.
  • Preferred: At least 5 years of software development experience, strong expertise in Python development, data analysis, data engineering, and scientific computing. Experience with Python libraries and frameworks such as Pandas, NumPy, SciPy, Jupyter, and related data science tools.

The University of Texas MD Anderson Cancer Center offers excellent benefits, including medical, dental, paid time off, retirement, tuition benefits, educational opportunities, and individual and team recognition.
This position may be responsible for maintaining the security and integrity of critical infrastructure, as defined in Section 113.001(2) of the Texas Business and Commerce Code and therefore may require routine reviews and screening. The ability to satisfy and maintain all requirements necessary to ensure the continued security and integrity of such infrastructure is a condition of hire and continued employment.
It is the policy of The University of Texas MD Anderson Cancer Center to provide equal employment opportunity without regard to race, color, religion, age, national origin, sex, gender, sexual orientation, gender identity/expression, disability, protected veteran status, genetic information, or any other basis protected by institutional policy or by federal, state, or local laws unless such distinction is required by law.http://www.mdanderson.org/about-us/legal-and-policy/legal-statements/eeo-affirmative-action.html
Additional Information
  • Requisition ID: 182375
  • Employment Status: Full-Time
  • Employee Status: Regular
  • Work Week: Days
  • Minimum Salary: US Dollar (USD) 106,500
  • Midpoint Salary: US Dollar (USD) 133,000
  • Maximum Salary : US Dollar (USD) 159,500
  • FLSA: exempt and not eligible for overtime pay
  • Fund Type: Soft
  • Work Location: Remote (within Texas only)
  • Pivotal Position: Yes
  • Referral Bonus Available?: No
  • Relocation Assistance Available?: No

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