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Insurance Computer Science Jobs in Ashburn, VA (NOW HIRING)

The Chief Scientist will provide day-to-day technical management of the Nonconventional ... Depending on position and eligibility, benefits may include medical, dental, and vision insurance ...

Bachelor's degree in Computer Science, Mathematics, or relevant field and 5+ years relevant ... Company-paid short-term disability, long-term disability, and life insurance. Powered by JazzHR ...

Bachelor's degree in Computer Science, Mathematics, or relevant field and 5+ years relevant ... Company-paid short-term disability, long-term disability, and life insurance. Powered by JazzHR ...

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 ...

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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 are popular job titles related to Insurance Computer Science jobs in Ashburn, VA? For Insurance Computer Science jobs in Ashburn, VA, the most frequently searched job titles are:
What job categories do people searching Insurance Computer Science jobs in Ashburn, VA look for? The top searched job categories for Insurance Computer Science jobs in Ashburn, VA are:
Senior Data Scientist

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago


Carnegie Mellon University rating

8.6

Company rating: 8.6 out of 10

Based on 24 frontline employees who took The Breakroom Quiz

54th of 560 rated colleges and universities


Job description

What We Do:

Data Scientists at the SEI use advanced statistics, data analytics, machine learning, and artificial intelligence to help our government and industry clients research and solve cybersecurity challenges. In this role, you will work with our customers to identify areas where advanced statistical techniques can help tackle problems, plan and develop prototype solutions, and build out final products. You'll get a chance to work with elite cybersecurity professionals and university faculty to build new technologies that will influence national cybersecurity strategy for decades to come. You will co-author research proposals, execute studies, and present findings to DoW sponsors and at academic conferences.
Our team works on a wide range of projects. Our current work includes research in generative AI and large language models, computer vision, multimodal AI, agentic AI, and assurance of AI systems. Additionally, we craft metrics and experimental designs for large-scale cybersecurity research programs, develop human-in-the-loop machine learning solutions, and build classifiers to identify security vulnerabilities. If you are a data science or statistics expert with an interest in cybersecurity, we want to hear from you!
Requirements:

  • BS in data science, machine learning, computer science, statistics, or related highly-quantitative discipline with ten (10) years of experience or equivalent combination of training or experience; or MS in data science, machine learning, computer science, statistics, or related highly-quantitative discipline with eight (8) years of experience; or PhD in data science, machine learning, computer science, statistics, or related highly-quantitative discipline with five (5) years of experience.

  • Willingness to complete modest travel to various locations to support the SEI's overall mission.

  • You will be subject to a background check and must be able obtain and maintain a U.S. Department of War security clearance.

Knowledge, Skills and Abilities:

  • Experience in predictive modeling, data science, and/or AI & machine learning

  • Deep understanding of statistical modeling techniques and advanced data analytics

  • Proficient with at least one mathematical/statistical programming package (e.g., R, python numpy/scipy/pandas/polars, MATLAB, etc.)

  • Innovative and inquisitive with ability to imagine novel analytical solutions to problems Thrives in a multi-disciplinary environment

  • Strong communication skills

  • Expertise in one or more of the following:

  • Recommendation systems

  • Time-series forecasting (Prophet, NeuralProphet, Chronos, Lag-Llama, etc.)

  • NLP / LLMs (fine-tuning, RAG, evaluation, prompt engineering)

  • Causal inference / uplift modeling / synthetic controls

  • Modern ML frameworks: LightGBM/XGBoost, CatBoost, PyTorch,JAX, TensorFlow)

  • LLMs / agentic workflows (LangChain/LlamaIndex/Haystack)

  • Experience deploying models (FastAPI, Triton, KServe, SageMaker, Vertex AI, or similar)

  • Experience working with big data (Spark, Trino, Snowflake, BigQuery, Databricks)

Desired Experience:

  • Experience in cybersecurity and privacy is a plus is a plus

  • Experience in U.S. Government work and/or with FFRDCs, UARCs an National Labs is a plus

  • Demonstrated ability to learn new concepts and grow into new areas of work

Joining the CMU team opens the door to an array of exceptional benefits.

Benefits eligible employees enjoy a wide array of benefits including comprehensive medical, prescription, dental, and vision insurance as well as a generous retirement savings program with employer contributions. Unlock your potential with tuition benefits, take well-deserved breaks with ample paid time off and observed holidays, and rest easy with life and accidental death and disability insurance.

Additional perks include a free Pittsburgh Regional Transit bus pass, access to our Family Concierge Team to help navigate childcare needs, fitness center access, and much more!

For a comprehensive overview of the benefits available, explore our Benefits page.

At Carnegie Mellon, we value the whole package when extending offers of employment. Beyond credentials, we evaluate the role and responsibilities, your valuable work experience, and the knowledge gained through education and training. We appreciate your unique skills and the perspective you bring. Your journey with us is about more than just a job; it's about finding the perfect fit for your professional growth and personal aspirations.

Are you interested in an exciting opportunity with an exceptional organization?! Apply today!

Location

Arlington, VA, Pittsburgh, PA

Job Function

Software/Applications Development/Engineering

Position Type

Staff - Regular

Full Time/Part time

Full time

Pay Basis

Salary

More Information:

  • Please visit "Why Carnegie Mellon" to learn more about becoming part of an institution inspiring innovations that change the world.

  • Click here to view a listing of employee benefits

  • Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran.

  • Statement of Assurance


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