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Insurance Computer Science Jobs in North Carolina

... Computer Science, Environmental Science, Microbiology, Molecular Biology, or related scientific ... Medical, Rx, Dental & Vision Insurance * Personal and Family Sick Time & Company Paid Holidays

... Computer Science, Environmental Science, Microbiology, Molecular Biology, or related scientific ... Medical, Rx, Dental & Vision Insurance * Personal and Family Sick Time & Company Paid Holidays

Bachelor's degree in computer science, data science, statistics, applied mathematics or related ... DLA Piper offers a comprehensive benefits package, including medical, dental, and vision insurance ...

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Company Description Teachers Insurance and Annuity Association - College Retirement Equities Fund ... Qualifications J2EE, Spring Batch, XML, Bachelor's Degree in Computer Science or a related field.

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Mathematics, science, computer science, or engineering teaching experience in formal or informal ... insurance, 401K with matching contributions, profit sharing, and retirement planning services.

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Mathematics, science, computer science, or engineering teaching experience in formal or informal ... insurance, 401K with matching contributions, profit sharing, and retirement planning services.

Data Scientist

Cary, NC · On-site

$85.79 - $97.27/hr

... the insurance and/or financial services industry.## **Key Responsibilities*** Own technical ... Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Mathematics ...

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Advanced academic background in Mathematics, Computer Science, Statistics, or a similar ... Top-tier medical, dental, and vision insurance packages. Robust 401k retirement plan with employer ...

Showing results 21-40

Insurance Computer Science information

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 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 North Carolina?

For Insurance Computer Science jobs in North Carolina, the most frequently searched job titles are:

What job categories do people searching Insurance Computer Science jobs in North Carolina look for?

The top searched job categories for Insurance Computer Science jobs in North Carolina are:

What cities in North Carolina are hiring for Insurance Computer Science jobs?

Cities in North Carolina with the most Insurance Computer Science job openings:

Senior Data Engineering Advisor (Hybrid)

Cigna Health and Life Insurance Company

Raleigh, NC • On-site

$110 - $140/hr

Other

Posted 3 days ago

New


Job description

Cigna Health and Life Insurance Company is seeking a Software Engineering Senior Advisor based in Raleigh, NC. The role involves designing and building scalable data pipelines and ETL/ELT processes while ensuring data security and reliability. Candidates should have a strong background in data architecture, experience with the cloud services, and a collaborative approach to mentoring.

The position offers a hybrid work schedule, allowing some remote work flexibility. A Bachelor’s degree in Computer Science or a related field is required, along with considerable experience in software development.

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