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Insurance Computer Science Jobs in Texas (NOW HIRING)

Data Scientist Level 3

Boerne, TX · On-site

$92K - $126K/yr

... computer science, and application-specific knowledge * Through analytic modeling, statistical ... These monetary benefits include medical insurance, life insurance, disability, paid time off ...

... computer science, and application-specific knowledge * Through analytic modeling, statistical ... These monetary benefits include medical insurance, life insurance, disability, paid time off ...

Senior Software Engineer

Austin, TX · On-site

$121K - $160K/yr

Solid grasp of computer science foundations, mainly algorithms and data structures * Expertise in ... Disability and Life Insurance. * 401K with company match . * Paid time off and company-paid ...

Senior Software Engineer

Austin, TX

$121K - $160K/yr

Solid grasp of computer science foundations, mainly algorithms and data structures * Expertise in ... Insurance. * 401K with company match. * Paid time off and company-paid holidays * Enjoy free daily ...

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Insurance Computer Science information

What is the difference between Insurance Computer Science vs Insurance Underwriter?

AspectInsurance Computer ScienceInsurance Underwriter
Required CredentialsDegree in Computer Science, Data Analysis certificationsDegree in Business, Finance, or Risk Management
Work EnvironmentTech-focused, data-driven, often in offices or remoteOffice setting, assessing risks, interacting with clients and agents
Employer & Industry UsageInsurance companies, tech firms, insurtech startupsInsurance carriers, brokerage firms, underwriting agencies
Common Search & ComparisonInsurance Computer Science vs Insurance Underwriter

Insurance Computer Science professionals focus on developing and managing insurance-related software, data analysis, and technology solutions. In contrast, Insurance Underwriters evaluate risks and determine policy terms. Both roles are vital in the insurance industry but differ in skills, work environment, and daily responsibilities.

What is Insurance Computer Science?

Insurance Computer Science is a specialized field that focuses on applying computer science principles, such as programming, data analysis, and systems development, to the insurance industry. Professionals in this area develop software applications, analyze large datasets, and create algorithms to streamline insurance processes like underwriting, claims management, and risk assessment. Their work helps insurance companies improve efficiency, reduce fraud, and deliver better customer experiences through technology. As digital transformation continues, the demand for computer science experts in insurance is growing rapidly.

Which CS has the highest salary?

In the field of computer science, roles such as machine learning engineers, data scientists, and software architects tend to have the highest salaries. These positions often require advanced skills, certifications, and experience in areas like AI, big data, and cloud computing.

What are some common challenges faced by computer science professionals working in the insurance industry?

Computer science professionals in the insurance industry often navigate challenges such as integrating legacy systems with modern technologies, ensuring data security for sensitive customer information, and adapting to frequent regulatory changes. Additionally, they may need to collaborate closely with actuaries, underwriters, and business analysts to develop and maintain robust software solutions that support underwriting, claims processing, and risk analysis. The fast pace of technological advancements in areas like AI, machine learning, and data analytics also requires continuous learning and adaptation.

What are the key skills and qualifications needed to thrive as an Insurance Computer Science professional, and why are they important?

To thrive as an Insurance Computer Science professional, you need a strong background in computer science principles, data analysis, and a solid understanding of insurance industry processes, typically supported by a relevant degree. Familiarity with programming languages (such as Python, Java, or SQL), data analytics tools, and insurance software systems is highly valued, and certifications like CPCU or relevant IT credentials can enhance your profile. Analytical thinking, problem-solving abilities, and effective communication are vital soft skills for collaborating with technical and non-technical stakeholders. These skills ensure the creation of robust technology solutions that optimize insurance operations and support sound business decisions.
What are popular job titles related to Insurance Computer Science jobs in Texas? For Insurance Computer Science jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Insurance Computer Science jobs in Texas look for? The top searched job categories for Insurance Computer Science jobs in Texas are:

Senior Director of Data Science

D.R. Horton, Inc

Arlington, TX

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 19 days ago


D.R. Horton rating

7.5

Company rating: 7.5 out of 10

Based on 32 frontline employees who took The Breakroom Quiz

31st of 78 rated construction


Job description

D.R. Horton, Inc., the largest homebuilder in the U.S., was founded in 1978 and is a publicly traded company on the New York Stock Exchange. It is engaged in the construction and sale of high-quality homes designed principally for the entry-level and first time move-up markets. The Company also provides mortgage financing and title services for homebuyers through its mortgage and title subsidiaries.  Please visit our website at www.drhorton.com for more information.


D.R. Horton, Inc. is currently looking for a Senior Director of Data Science. The right candidate leads the development and application of advanced analytics, machine learning, and customer data strategies to improve marketing effectiveness, customer engagement, and revenue growth. This role oversees the design of scalable data science solutions that support personalization, attribution, segmentation, and forecasting across digital and offline channels.

Essential Duties and Responsibilities include the following. Other duties may be assigned.

  • Establish and lead the data science strategy for marketing, defining how advanced analytics, machine learning, and AI will be applied to drive customer acquisition, conversion, retention, and investment value

  • Direct the development, deployment, and scaling of predictive models and machine learning solutions that operationalize the strategy and deliver measurable marketing performance improvements

  • Align analytical capabilities with marketing and business objectives

  • Oversee customer segmentation, propensity modeling, attribution modeling, and forecasting to inform targeting and campaign optimization strategies

  • Lead the design and implementation of experimentation frameworks, including A/B and multivariate testing, to evaluate marketing performance and inform optimization

  • Ensure data science solutions integrate effectively with marketing technology platforms

  • Govern data quality, model performance, and validation processes to ensure accuracy, scalability, and reliability of insights

  • Collaborate with Legal and Compliance to support responsible data usage, including privacy regulations (GDPR, CCPA), consent management, and data governance standards

  • Build and develop, high-performing data science and analytics teams

  • Conduct all business in a professional and ethical manner to serve customers and increase the goodwill and profit of the company

  • Ability to travel overnight

Supervisory Responsibilities

  • Supervises 2 or more employees

Education and/or Experience

  • Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or related field required

  • 10 years of experience in data science, advanced analytics, or related field, with at least 5 years in a leadership role

  • Experience supporting marketing, digital, or customer analytics functions required

  • Familiarity with data privacy regulations and consent-based marketing practices

  • Advanced knowledge of statistical modeling, machine learning techniques, and marketing analytics methodologies

  • Ability to apply common sense understanding to carry out instructions furnished in written and oral form or via DRH applications

  • Ability to sit for majority of 8-hour workday; use hands and fingers to handle or feel; reach with hands and arms; talk and hear. Specific vision abilities required by this job include close vision and peripheral vision

  • The noise level is generally moderate

Preferred Qualifications

  • Master's or PhD preferred

  • Experience working with large-scale customer data environments and marketing technology systems 

Come join a winning team with a Fortune 500 company! We are growing fast and are looking for enthusiastic attitudes and team players to join our success. We offer an excellent benefits package including:

  • Medical, Dental and Vision

  • 401(K)

  • Employee Stock Purchase Plan

  • Flex Spending Accounts

  • Life & Disability Insurance

  • Vacation, Sick, Personal Time and Company Holidays

  • Multiple Voluntary and Company provided Benefits

Build YOUR future with D.R. Horton, America's Builder.  #WeBuildPeopleToo


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