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Insurance Computer Science Jobs in Chicago, IL (NOW HIRING)

... fraud, insurance and marketing business applications. This position requires a general ... Master's or PhD degree in statistics, applied mathematics, financial mathematics, computer science ...

... fraud, insurance and marketing business applications. This position requires a general ... Master's or PhD degree in statistics, applied mathematics, financial mathematics, computer science ...

Data Scientist - Insurance

Chicago, IL ยท On-site

$88K - $141K/yr

... fraud, insurance and marketing business applications. This position requires a general ... Master's or PhD degree in statistics, applied mathematics, financial mathematics, computer science ...

Mentored Scientist

Chicago, IL ยท On-site

$84K - $127K/yr

... paid time off, life insurance, short term and long-term disability and the Flexible Spending ... Computer programs, spreadsheets, graphics programs, and word processing. * Ability to: Communicate ...

Director, Data Science

Chicago, IL ยท On-site

$120K - $175K/yr

A university degree in mathematics, computer science, statistics or related field, and 7-10 years ... For this role, benefits include: health insurance, vision insurance, dental insurance, 401(k) ...

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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 are popular job titles related to Insurance Computer Science jobs in Chicago, IL? For Insurance Computer Science jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Insurance Computer Science jobs in Chicago, IL look for? The top searched job categories for Insurance Computer Science jobs in Chicago, IL are:
Assistant Professor of Computer Science

Assistant Professor of Computer Science

Chicago State University

Chicago, IL โ€ข On-site

$80K - $90K/yr

Full-time

Medical, Dental, Life

Posted 9 days ago


Job description

Posting Details
Position Information
Posting Number
F260040P
Open Date
02/01/2026
Close Date
Faculty Rank
Assistant Professor
Title
Assistant Professor of Computer Science
Salary
$80,000 - $90,000 Annual
Benefits
This position is eligible for health, dental, life insurance and other benefits through Chicago State University. Click here for a complete list of benefits: https://csu.edu/humanresources/benefits.htm
Is Tenured/ Tenure Track
Yes
Full-time/ Part-time
Full-time
Job Description Summary
The Department of Computing, Information and Mathematical Sciences, and Technology (CIMST) at Chicago State University invites applications for a tenure-track Assistant Professor position in Computer Science beginning Fall 2026.
CIMST is a vibrant and diverse academic unit that emphasizes the intersections of people, computing, information, and technology. The department offers Bachelor of Science (BS) and Master of Science (MS) degrees in Computer Science. Our faculty and students represent a wide range of backgrounds, contributing to a dynamic and inclusive academic community.
Responsibilities
Faculty members are expected to contribute to teaching, research, and service, as outlined in the collective bargaining agreement.
  • Teaching: Teach up to 24 credit-unit equivalents per year; develop syllabi, instructional materials, and innovative course content; advise students; supervise graduate theses and research projects; engage in professional development and participate in assessment activities tied to accreditation and program evaluation.
  • Research: Conduct research in computer science or related fields, publish in peer-reviewed venues, seek external funding, and present work at academic and professional conferences.
  • Service: Participate actively in departmental, college, university, professional, and community committees and initiatives, assuming leadership roles as appropriate over time.

Appointment Details
  • Rank: Assistant Professor (Tenure-Track)
  • Term: Full-time, 9-month appointment
  • Start Date: Fall 2026

All faculty positions are governed by the university's collective bargaining agreement, which ensures clear guidelines for hiring, evaluation, promotion, tenure, and professional responsibilities.
The primary responsibilities of this position include teaching and related academic activities throughout the academic year. Faculty are also expected to uphold the University's commitment to academic excellence by fostering an engaging and inclusive learning environment that supports, values, and challenges students from diverse ethnic, religious, gender, and socioeconomic backgrounds.
Required Education
  • Applicants must hold a Ph.D. in Computer Science or a closely related field from an accredited institution.
  • Evidence of or potential for scholarly research and publications in machine learning, data science, cybersecurity, or a related discipline.
  • Demonstrate excellence in teaching and advising undergraduate and graduate students and mentoring graduate research.
  • Strong communication and interpersonal skills.
  • Commitment to supporting diverse student populations and fostering an inclusive learning environment.

Required Knowledge, Skills and Abilities
Ability and commitment to actively contribute to departmental, college, and university initiatives through high-quality teaching, scholarly research, and professional service.
Preferred Qualifications
  • Teaching and research experience in Artificial Intelligence, Machine Learning, Data Science, Cybersecurity, and Computer Networks.
  • Evidence of successful teaching experience in higher education.
  • Demonstrated ability or interest in mentoring students in research or academic success.
  • Record of or potential for grant writing and external funding.
  • Interest in contributing to departmental service, curriculum development, and program assessment.
  • Experience working at a Predominantly Black Institution (PBI), HBCU, or other minority-serving institution is highly desirable.
  • Prior experience delivering undergraduate or graduate courses online or in hybrid formats.
  • amiliarity with learning management systems (LMS) such as Brightspace.

Special Requirements
Doctoral and master's transcripts are required.