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Insurance Computer Science Jobs in Washington (NOW HIRING)

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Insurance Computer Science information

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 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 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 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 are popular job titles related to Insurance Computer Science jobs in Washington? For Insurance Computer Science jobs in Washington, the most frequently searched job titles are:
ME00572-Cryptologic Computer Scientist 3

ME00572-Cryptologic Computer Scientist 3

Momentum Engineering, Inc.

Fort George G Meade, MD • On-site

$135K - $185K/yr

Full-time

Medical, Dental, Vision, Life, PTO

Posted 20 hours ago


Job description

Momentum Engineering, Inc. fosters an employee-centric culture. Our strength lies in our people. With a high percentage of employees holding advanced degrees in engineering, computer science, and related disciplines, we bring deep technical expertise to every mission. Our team includes professionals with security clearances and full-scope polygraphs, ensuring trusted, secure support for the most sensitive national security initiatives. Additionally, our workforce is equipped with industry-leading certifications, demonstrating a commitment to continuous learning and excellence. Most importantly, our exceptional employee retention rate reflects a culture of professional growth, mission focus, and dedication-ensuring long-term stability and expertise for our customers' critical needs.
Job Summary
  • Seeking a Cryptologic Computer Scientist to serve as a hybrid technical expert combining computer science and cyber threat analysis to support mission-critical operations
  • This role focuses on analyzing large-scale datasets to identify patterns, anomalies, and potential cyber threats, with an emphasis on network and protocol analysis
  • The candidate will leverage advanced analytics and programming skills to enable discovery-driven insights within complex data environments

Primary Responsibilities
  • Analyze large-scale datasets to identify cyber threats, anomalies, and patterns of interest
  • Perform network and protocol analysis to support detection and understanding of adversary activity
  • Develop and implement data processing and analytics solutions using Python and Apache Spark
  • Work with distributed data systems to process and analyze high-volume data efficiently
  • Apply analytical techniques to support cyber threat analysis and mission discovery efforts
  • Utilize and integrate customer-specific tools and analytic platforms to support mission objectives
  • Collaborate with analysts, engineers, and mission stakeholders to refine analytic approaches and solutions
  • Develop scripts, models, and workflows to enhance data analysis and operational capabilities
  • Document analytic findings, methodologies, and recommendations

Required Qualifications
  • Must have active Top Secret/SCI clearance with Full Scope Polygraph (MD Customer)
  • Master's degree with 6 years of relevant experience, Bachelor's Degree with 8 years of relevant experience, or Associate's Degree with 10 years of in-depth relevant experience that is clearly related to the position
  • Degree must be in Engineering, Mathematics, Computer Science, a Physical Science, or a related technical field
  • Experience with Python programming for data analysis and automation
  • Experience working with Apache Spark or similar large-scale data processing frameworks
  • Strong background in network and protocol analysis
  • Experience working with large-scale or distributed data environments
  • Ability to analyze complex datasets and extract meaningful insights
  • Strong problem-solving and analytical skills

Desired Qualifications
  • Inquisitive and discovery-focused mindset
  • Ability to work both independently and collaboratively in a mission-driven environment
  • Strong curiosity and initiative in exploring complex data and uncovering insights

Exempt hourly position. 11 paid holidays, minimum of 3 weeks PTO, company sponsored group medical plan, company paid dental, vision, life insurance, and STD/LTD plans. Salary is dependent upon the candidate's experience and qualifications.
The pay range for this role is:
135,000 - 185,000 USD per year (Ft. Meade MD)