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Insurance Computer Science Jobs in Virginia (NOW HIRING)

Master's Degree or PhD in a quantitative field (math, computer science, engineering, etc.) required ... Competitive salary, generous paid time off policy, charity match program, Group Medical Insurance ...

Bachelor's degree in mathematics, operations research, computer science, data science, or other ... health insurance, flexible spending accounts, health savings accounts, retirement savings plans ...

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Insurance Computer Science information

Is computer science dead due to AI?

Computer science remains a vital field for insurance professionals, as AI and automation tools enhance data analysis, risk assessment, and decision-making processes. While AI automates certain tasks, expertise in algorithms, programming, and system design continues to be essential for developing and maintaining these technologies. Ongoing learning and adaptation are important for computer science roles in the insurance industry.

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.

Are CS grads struggling to find jobs?

Computer Science graduates often find opportunities in various fields, including insurance technology, where skills in programming, data analysis, and cybersecurity are valued. Job market demand remains steady for those with strong technical skills and relevant certifications, though competition can vary by location and specialization.

Which insurance field pays the most?

In the insurance industry, actuarial science and insurance underwriting are among the highest-paying fields, often requiring strong analytical skills and certifications such as the ASA or FSA. These roles typically offer higher salaries compared to claims adjusting or customer service positions, especially at senior levels or with specialized expertise.
What job categories do people searching Insurance Computer Science jobs in Virginia look for? The top searched job categories for Insurance Computer Science jobs in Virginia are:
What cities in Virginia are hiring for Insurance Computer Science jobs? Cities in Virginia with the most Insurance Computer Science job openings:
Jr. Data Scientist

Jr. Data Scientist

Systems Planning and Analysis

Alexandria, VA โ€ข On-site

$85K - $105K/yr

Full-time

Medical, Life, Retirement

Posted 21 days ago


Job description

Overview
Systems Planning and Analysis, Inc. (SPA) delivers high-impact, technical solutions to complex national security issues. With over 50 years of business expertise and consistent growth, we are known for continuous innovation for our government customers, in both the US and abroad. Our exceptionally talented team is highly collaborative in spirit and practice, producing Results that Matter. Come work with the best! We offer opportunity, unique challenges, and clear-sighted commitment to the mission. SPA: Objective. Responsive. Trusted.
The Joint, Office of the Secretary of Defense, Interagency Division (JOID) provides expert support services to a range of customers spanning across the Department of Defense, Federal Civilian, and international markets. JOID provides a diverse portfolio of analytical and programmatic capabilities to help our customers make informed decisions on their most challenging issues.
Group W provides wargaming, warfare modeling and simulation, software development, data analytics, and operations research/system analysis support to the national security mission. As a leader in the fields of campaign, mission, and wargaming analysis we embrace the cycle of research paradigm, continually seeking to improve the multi-method application of tools, data, methods, and techniques to generate credible and resilient insights to inform decisions on the Department's most challenging issues spanning CONOPs, acquisitions, force structures, tactics, and strategies. Group W is the developer and maintainer of the Synthetic Theater Operations Research Model (STORM), the authoritative M&S tool accepted by the Joint Analytic Community for analysis of theater-level, multi-domain, joint warfare. Similarly, we developed and manage the Standard Wargame Integration and Facilitation Tool (SWIFT) for OSW as an adaptable environment to support joint force combatants' wargaming requirements.
We have an immediate need for a Jr. Data Scientist to provide onsite support in Alexandria, VA.
Responsibilities
The Jr. Data Scientist will develop analytic products and services using data science techniques in support of the OSW Cost Assessment and Program Evaluation (CAPE) Defense Analyst Support Hub (DASH). The analyst will function as a part of the DASH Data Science team and support the team in completing statistical analysis, creating data visualizations, and developing analysis summary products for CAPE Study leads.
Qualifications
Required:
  • Active Secret clearance with the ability to secure TS/SCI.
  • Bachelor's degree in mathematics, operations research, computer science, data science, or other Science, Technology, Engineering, Mathematics (STEM) disciplines.
  • Familiarity with statistical modeling, exploratory data analysis, and other data science methods.
  • Programming competency in R, Python, or other languages suitable for managing and analyzing large datasets.
  • Able to work fully onsite based on client needs.

Desired:
  • Master's degree in mathematics, operations research, computer science, or other applicable Science, Technology, Engineering, and Mathematics (STEM) disciplines.
  • 1+ years of hands-on experience with data science techniques and/or data driven/analytics; areas of relevant experience include statistics, mathematics, database engineering, machine learning, and visualization.
  • Operational experience in a military service or DoW environment.
  • Ability to work effectively as part of an integrated team.
  • Adept at interfacing with clients.

Pay Range Information
At SPA, we strive to deliver a robust total compensation package that will attract and retain top talent. Elements of the compensation package include competitive base pay and variable compensation opportunities. SPA provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, etc. Please note that the salary information shown below is a general guideline only. Salaries are commensurate with experience and qualifications, as well as market and business considerations. Virginia, Pay Transparency Salary range: USD $85,000.00/Yr. - USD $105,000.00/Yr.