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Insurance Computer Science Jobs in Virginia (NOW HIRING)

Bachelor's Degree in technical discipline such as Computer Engineeringor Computer Science ... Choice of two medical insurance programs through Blue Cross & Blue Shield. * Dental Benefits: A ...

We offer medical, dental, vision, disability, EAP and life insurance benefits as well as a 401(k) ... Computer Science, or equivalent experience. Preferred: Experience DISA VISP familiarity Army VMOD ...

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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 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:
Expert Computer Scientist (QAF Accreditation) - OBIQUA

Expert Computer Scientist (QAF Accreditation) - OBIQUA

CELESTAR

Reston, VA โ€ข On-site

Full-time

Medical, Dental, Life, Retirement, PTO

Posted 2 days ago


Job description

Celestar Corporation is seeking an Expert Computer Scientist (QAF Accreditation) to support The Defense Intelligence Agency (DIA) under the Object Based Intelligence and Quality Assurance (OBIQUA) task order. The primary place of performance will be at DIA Facilities across the National Capital Region (NCR). If interested and meet the qualifications, we encourage you to apply for this rewarding and impactful opportunity.
ANTICIPATED AWARD: TBD
ANTICIPATED START: TBD
PERIOD OF PERFORMANCE: 1 Base Year + 4 Option Years
LOCATION: DIA Facilities across the National Capital Region (NCR)
CLEARANCE REQUIREMENT: Active TS/SCI with a Current CI Poly
About Us:
Celestar, a proud Veteran-Owned company, offers highly competitive salaries and benefits. Our comprehensive benefits package includes company-paid employee and family dental insurance, employee health insurance, life insurance, and disability coverage. Additionally, we provide a 401(k)-retirement plan with company matching, paid holidays, and personal time off.
Responsibilities:
This opportunity will support multiple DIA initiatives, including the Machine-Assisted Rapid-Repository System (MARS), Object Management Services (OMS), and Object-Based Intelligence (OBI).
โ€ข The Expert Computer Scientist, Quality Assurance Framework (QAF), Employs mathematics, statics, information science, artificial intelligence, machine learning, network science, probability modeling, data mining, data engineering, data warehousing, data compression, data protection, and/or other scientific techniques to correlate complex, technical findings into graphical, written, visual and verbal narrative products on trends of existing intelligence data to leverage other IC data sources.
โ€ข Develops and utilizes machine learning and data mining algorithms, including, but not limited to, Multiple Information Model Synthesis Architecture (MIMOSA) prediction algorithms based on open-source capabilities.
โ€ข Integrates or codes algorithms to support Government intelligence search and discovery missions.
โ€ข Makes best practice recommendations on managing data within hardware, software, storage, and bandwidth constraints.
โ€ข Employs data science techniques to support predictive analysis, social media and crowd-source data analytics, wargaming, and strategy development.
โ€ข Employs exploratory analysis and rapid iteration techniques of large volumes of data to quickly derive intelligence.
โ€ข Prepares products to describe and document findings and activities.
โ€ข Review and evaluate QAF documentation submitted by Advanced Analytic (AA) owners to ensure compliance with tradecraft standards and adherence to best practices in AI system development and deployment
โ€ข Assess QAF documentation for completeness, accuracy, and thoroughness, and provide detailed feedback to AA owners and developers
โ€ข Assist in maintaining a repository of QAF documentation to facilitate knowledge sharing and best practices across the organization
โ€ข Provide consultation and guidance to AA owners, developers, and stakeholders on the QAF process, including best practices for AI system development, testing, and deployment
โ€ข Collaborate with AA owners and developers to identify and address potential issues or gaps in QAF documentation
โ€ข Develop and deliver training materials and workshops to educate AA owners, developers, and stakeholders on the QAF process and its application in AI system development
โ€ข Assist analytic methodologists and AA owners in translating technical documentation into analytic tradecraft compliant language
โ€ข Collaborate with stakeholders to develop, implement, and refine best practices for translating technical documentation into tradecraft compliant language
โ€ข Review and edit translated documentation to ensure accuracy, completeness, and adherence to tradecraft standards
โ€ข Supports capability development by contributing, editing, and storing code in Government owned/controlled source version control repositories
Required qualifications/skills:
โ€ข Minimum 20 years of experience conducting analysis relevant to the
specific labor category with at least a portion of the experience within the last 2 years.
โ€ข Master's degree in an area related to the labor category from a college
or university accredited by an agency recognized by the U.S. Department of Education.
โ€ข Must have at least 8 years of experience in AI implementation, advanced degree in computer science, data science, or related field.
โ€ข Must have expertise in AI algorithms, model development, TEVV, and operationalization.
โ€ข Demonstrates ability to work independently and with minimal oversight.
โ€ข Active TS/SCI Clearance within the past 5 years.
โ€ข Demonstrates ability to define problems, supervise studies and lead surveys to collect and analyze data to provide advice and recommend solutions.
โ€ข Demonstrates analytic leadership and expertise in identifying, planning, developing, and executing analytic production methodologies, tradecraft and techniques aligned with labor category mission.
โ€ข Demonstrates extensive ability to provide strategic advice, technical guidance and expertise to Defense planners and policymakers.
Come on board with a company that Values its Employees!
Celestar Corporation is an Equal Opportunity Employer. The Celestar Corporation prohibits discrimination, harassment, and retaliation in employment based on race; color; religion; genetic information; national origin; sex (including same-sex); sexual orientation; gender identity; pregnancy, childbirth, or related medical conditions; age; disability or handicap; citizenship status; marital status; service member/protected veteran status; or any other category protected by federal, state, or local law.