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Insurance Computer Science Jobs in North Carolina

... Computer Science, Physics, Mathematics, or a related discipline. * A minimum of ONE (1) year ... Medical, Rx, Dental & Vision Insurance * Personal and Family Sick Time & Company Paid Holidays

... Computer Science, Physics, Mathematics, or a related discipline. * A minimum of ONE (1) year ... Medical, Rx, Dental & Vision Insurance * Personal and Family Sick Time & Company Paid Holidays

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.

Advanced use of computer languages and modeling packages such as R, SAS, and Python (Tensorflow ... life insurances * Up to 4% matching 401(k) * Employee Stock Purchase Plan (10% share discount)

... self-insured employers, * Judi Health™ , which offers full-service health benefit management ... PhD in AI, Machine Learning or Computer Science preferred * Minimum 4 years of experience in ...

Senior Data Scientist

Charlotte, NC · On-site

$110K - $166K/yr

Master's/PhD in Statistics, Data Science, Applied Math, Computer Science, Actuarial Science, or ... Preferred Insurance analytics experience. Familiarity with model governance and monitoring.

Master's degree in Bioinformatics, Computational Biology, Data Science, Biostatistics, Computer ... Medical, Rx, Dental & Vision Insurance * Personal and Family Sick Time & Company Paid Holidays

Advanced use of computer languages and modeling packages such as R, SAS, and Python (Tensorflow ... life insurances * Up to 4% matching 401(k) * Employee Stock Purchase Plan (10% share discount)

Master's degree in Bioinformatics, Computational Biology, Data Science, Biostatistics, Computer ... Medical, Rx, Dental & Vision Insurance * Personal and Family Sick Time & Company Paid Holidays

Requirements: Will accept a Bachelor's degree in Computer Science, Applied Mathematics ... life insurance, parental benefits, adoption assistance, paid time off program with paid holidays ...

Requirements: Will accept a Bachelor's degree in Computer Science, Applied Mathematics ... life insurance, parental benefits, adoption assistance, paid time off program with paid holidays ...

Data Scientist - GD08AE We're determined to make a difference and are proud to be an insurance ... Master's preferred in Machine Learning, Applied Math, Data Science, Computer Science, or related ...

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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.

What other jobs can I get with a computer science degree?

With a computer science degree, you can pursue roles such as software developer, data analyst, cybersecurity analyst, systems analyst, or IT consultant. These jobs often require knowledge of programming languages, problem-solving skills, and familiarity with tools like databases and operating systems.

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 jobs pay 2000 a day?

In the field of insurance computer science, high-paying roles such as senior software engineers, data scientists, or cybersecurity specialists can earn around $2,000 per day, especially with extensive experience, specialized skills, and working for large organizations or consulting firms. These positions often require advanced technical knowledge, certifications, and the ability to handle complex systems or data security tasks.

What software is used in insurance companies?

Insurance computer science professionals typically work with software such as claims management systems, policy administration platforms, customer relationship management (CRM) tools, and data analysis software like SAS or SQL. They also use programming languages like Java, Python, or C++ for developing and maintaining insurance applications, along with specialized actuarial and underwriting software. Familiarity with enterprise resource planning (ERP) systems and data security tools is also important in this field.
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:
Data Scientist II - Fraud Reporting

Data Scientist II - Fraud Reporting

Truist

Charlotte, NC • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 18 days ago


Truist rating

8.1

Company rating: 8.1 out of 10

Based on 114 frontline employees who took The Breakroom Quiz

47th of 144 rated banks


Job description

The position is described below. If you want to apply, click the Apply Now button at the top or bottom of this page. After you click Apply Now and complete your application, you'll be invited to create a profile, which will let you see your application status and any communications. If you already have a profile with us, you can log in to check status.

Need Help?

If you have a disability and need assistance with the application, you can request a reasonable accommodation. Send an email to Accessibility (accommodation requests only; other inquiries won't receive a response).

Regular or Temporary:

Regular

Language Fluency: English (Required)

Work Shift:

1st shift (United States of America)Please review the following job description:Perform sophisticated analytics (statistical and predictive analytics, machine learning modeling, etc.) to provide actionable insights that improve business outcomes and minimize risk and also provide consultation to business leaders and other stakeholders on how to leverage analytics insights and build strategies around analytics.

This is a fully on-site position based in Charlotte, NC. Teammates are expected to be in the office five days a week

Essential Duties and Responsibilities:

Following is a summary of the essential functions for this job. Other duties may be performed, both major and minor, which are not mentioned below. Specific activities may change from time to time.

  • Independently perform sophisticated data analytics (ranging from classical econometrics to machine learning, neural networks, and natural language processing) in a variety of environments using structured and unstructured data.

  • Produce compelling data visualizations to communicate insights and influence outcomes among a wide array of stakeholders.

  • Take accountability and ownership of end-to-end data science solution design, technical delivery, and measurable business outcome.

  • Engage in stakeholder meetings to identify business objectives and scope solution requirements.

  • Independently write, document, and deploy custom code in a variety of environments (Python, SAS, R, etc.) to create predictive analytics applications.

  • Use, maintain, share and collaborate through Truist internal code repositories to foster continual learning and cross-pollination of skillsets.

  • Actively research and advocate adoption of emerging methods and technologies in the data science field, with the eye of continually advancing Truist's capabilities.

  • Exercise sound judgment and foster risk management culture throughout design, development, and deployment practices; partner with cross-functional teams to coordinate rules on data usage, data governance and analytics capabilities.

Required Qualifications:

The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

  • Bachelor's degree and four or more years of experience in a quantitative field such as Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering, or equivalent education and related training

  • Exhibit understanding of statistical methods, including a broad understanding of classical statistics, probability theory, econometrics, time-series, and primary statistical tests

  • Familiarity with linear algebra concepts for optimization, complex matrix operations, eigenvalue decompositions, and principal components; working knowledge of calculus/differential equations, with understanding of stochastic processes

  • Demonstrate understanding of data cleansing and preparation methodologies, including regex, filtering, indexing, interpolation, and outlier treatment

  • Strong familiarity with data extraction in a variety of environments (SQL, JQuery, etc.)

  • Working knowledge of Hadoop, Pig, Hive, and/or NoSQL, Spark

  • Experience in managing multiple projects with tight deadlines in a collaborative environment

Preferred Qualifications:

  • Master's degree or PhD in a quantitative field such as Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering

  • Four years of relevant work experience if candidate lacks graduate degree

  • Previous experience in the banking or fin-tech industry

General Description of Available Benefits for Eligible Employees of Truist Financial Corporation: All regular teammates (not temporary or contingent workers) working 20 hours or more per week are eligible for benefits, though eligibility for specific benefits may be determined by the division of Truist offering the position.Truist offers medical, dental, vision, life insurance, disability, accidental death and dismemberment, tax-preferred savings accounts, and a 401k plan to teammates. Teammates also receive no less than 10 days of vacation (prorated based on date of hire and by full-time or part-time status) during their first year of employment, along with 10 sick days (also prorated), and paid holidays. For more details on Truist's generous benefit plans, please visit our Benefits site. Depending on the position and division, this job may also be eligible for Truist's defined benefit pension plan, restricted stock units, and/or a deferred compensation plan. As you advance through the hiring process, you will also learn more about the specific benefits available for any non-temporary position for which you apply, based on full-time or part-time status, position, and division of work.

Truist is an Equal Opportunity Employer that does not discriminate on the basis of race, gender, color, religion, citizenship or national origin, age, sexual orientation, gender identity, disability, veteran status, or other classification protected by law. Truist is a Drug Free Workplace.

EEO is the Law E-Verify IER Right to Work


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About Truist

Sourced by ZipRecruiter

Truist is combining distinctive personal service with investments in innovation to create transformational client experiences. We believe the unique blend of human touch and innovative technology will set us apart, instill confidence, and build deeper levels of trust with our clients

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

Charlotte, NC, US

Year founded

2019