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Insurance Computer Science Jobs in Virginia (NOW HIRING)

Data Scientist

Alexandria, VA ยท On-site

$105K - $125K/yr

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

Data Scientist

Alexandria, VA ยท On-site

$105 - $125/hr

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

Data Scientist

Alexandria, VA ยท On-site

$105K - $125K/yr

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

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 ...

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 ...

Showing results 41-60

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.

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 Virginia? For Insurance Computer Science jobs in Virginia, the most frequently searched job titles are:
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:

$85 - $130/hr

Other

Medical, Dental, Life, Retirement

Posted 5 days ago


Job description

Job Description

Join an elite group dedicated to continuous personal improvement as GCT is currently seeking Data Scientists of all levels to support an intelligence agency with insights gained from analyzing voluminous sensor data. The ideal candidate is adept at using large data sets to find opportunities for process optimization and using models to test the effectiveness of different courses of action. Candidates must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.

Clearance

TS/SCI w/Full scope polygraph (or used within the past 24 months)

Education/Experience Requirements

Senior Positions:

  • Masters degree in Data Science, Statistics, Mathematics, Computer Science or another quantitative field, or extensive comparable experience
  • 10+ years of relevant experience

Junior/Intermediate Positions

  • Completed B.S. in Data Science, Mathematics, Statistics, Computer Science, Computer Engineering, or a closely related technical field
  • 3-9 years of relevant experience
Qualifications
  • Experience using statistical computer languages (SAS, SPSS, R, Python, SQL, etc.) to manipulate data and draw insights from large data sets
  • Experience working with and creating data architectures
  • Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks
  • Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications
  • Excellent written and verbal communication skills
  • A drive to learn and master new technologies and techniques
Desired Skills
  • Experience manipulating data sets and building statistical models
  • Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, Bayes, etc.
  • Experience querying databases and using statistical computer languages: R, Python, SQL, etc.
  • Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
  • Experience analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Coremetrics, Adwords, Crimson Hexagon, Facebook Insights, etc.
  • Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc.
  • Experience visualizing/presenting data for stakeholders using: Periscope, Business Objects, D3, ggplot, etc.

The success of Great-Circle Technologies depends on the success and well-being of its employees. GCT promotes work/life balance and encourages the overall well-being of each of its contributors. A comprehensive benefits package is provided, which currently includes company paid single medical, dental, life, disability, and long-term care insurances (with contributions to family premiums), matching 401k plan, 34 days off per year including 10 Federal holidays plus the day after Thanksgiving, Christmas and New Year's eves!

Location

Chantilly, Virginia
Active TS/SCI w/FSP (or used within the past 24 months)
Data Science or Big Data
MS or BS in Data Science, Math, Statistics or related
Chantilly
VA
Possible
Monday - Friday, 40 hours, Flexible start and end times
Full-Time

Great-Circle Technologies is an Equal Opportunity Employer. Great-Circle Technologies ensures all qualified applicants will receive consideration for employment without regard to gender, race, ethnic background, religion, disability, sexual orientation, gender identity, national origin, age, or protected veteran status.

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