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

Senior Software Engineer

Chicago, IL · On-site

$126K - $166K/yr

Solid grasp of computer science foundations, mainly algorithms and data structures * Expertise in ... Disability and Life Insurance. * 401K with company match . * Paid time off and company-paid ...

Senior Software Engineer

Chicago, IL · On-site

$126K - $166K/yr

Solid grasp of computer science foundations, mainly algorithms and data structures * Expertise in ... Disability and Life Insurance. * 401K with company match . * Paid time off and company-paid ...

Curriculum Developer, K-8

Chicago, IL · On-site

$67K - $75K/yr

Coding and computer science are essential skills for students to learn and schools to teach. About ... Compensation Salary range: $67,000-$75,000 Benefits • Health, dental, and vision insurance • ...

Senior Software Engineer

Chicago, IL · On-site

$126K - $166K/yr

Solid grasp of computer science foundations, mainly algorithms and data structures * Expertise in ... Disability and Life Insurance. * 401K with company match . * Paid time off and company-paid ...

Coding and computer science are essential skills for students to learn and schools to teach. About ... insurance • 401(k) with 4% match • Paid parental leave * Strong vacation policy (22 days off ...

Master's degree in Data Science, Computer Science or related field and two (2) years of experience ... off, disability insurance, 401(k) with company match, life insurance and other voluntary ...

Bachelor's degree in Business, Information Systems, Computer Science, Insurance, or a related field. * Certified Business Analyst Professional (CBAP) is preferred but not required. * Guidewire Cloud ...

Bachelor's degree in Business, Information Systems, Computer Science, Insurance, or a related field. * Certified Business Analyst Professional (CBAP) is preferred but not required. * Guidewire Cloud ...

Coding and computer science are essential skills for students to learn and schools to teach ... Health, dental, and vision insurance * 401(k) with 4% match * Paid parental leave * Strong vacation ...

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Showing results 1-20

Insurance Computer Science information

Is computer science dead due to AI?

Computer science remains a vital field for insurance professionals, as AI and automation tools enhance data analysis, risk assessment, and decision-making processes. While AI automates certain tasks, expertise in algorithms, programming, and system design continues to be essential for developing and maintaining these technologies. Ongoing learning and adaptation are important for computer science roles in the insurance industry.

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.

Are CS grads struggling to find jobs?

Computer Science graduates often find opportunities in various fields, including insurance technology, where skills in programming, data analysis, and cybersecurity are valued. Job market demand remains steady for those with strong technical skills and relevant certifications, though competition can vary by location and specialization.

Which insurance field pays the most?

In the insurance industry, actuarial science and insurance underwriting are among the highest-paying fields, often requiring strong analytical skills and certifications such as the ASA or FSA. These roles typically offer higher salaries compared to claims adjusting or customer service positions, especially at senior levels or with specialized expertise.
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:
What cities near Chicago, IL are hiring for Insurance Computer Science jobs? Cities near Chicago, IL with the most Insurance Computer Science job openings:
AI & Data AVP, Financial Services-Insurance

AI & Data AVP, Financial Services-Insurance

Deloitte

Chicago, IL • On-site

$118K - $141K/yr

Other

This job post has expired 1 day ago. Applications are no longer accepted.


Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 90 frontline employees who took The Breakroom Quiz

59th of 148 rated financial services


Job description

Join our AI & Engineering team in transforming technology platforms, driving innovation, and helping make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and re-engineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.

Recruiting for this role ends on 07/20/2026.

Work you'll do

As an Associate Vice President, AI and Data Solutions on the AI & Data team, you will be responsible for:

  • Lead AI & Data engagements for our Financial Services - Insurance industry clients
  • Translate business problems into scalable AI, data, and digital solutions
  • Work across strategy, product, data, engineering, and client stakeholder groups to define solution approach and delivery plans
  • Advise clients on operating model implications, business value, roadmap sequencing, and adoption considerations for AI-enabled transformation
  • Support broader AI & Data pursuits and engagements beyond Insurance when needed
  • Lead engagement planning, budgeting, staffing, and team mobilization for data and AI initiatives
  • Define deliverable structure and content; manage quality, timelines, economics, and engagement risk
  • Manage day-to-day interactions with executive clients and sponsors and facilitate buy-in for proposed solutions
  • Lead business development activities, including client relationship development, pursuit leadership, proposal development, and pricing strategy input
  • Coach and develop practitioners through counseling, staffing input, recruitment, retention, and delivery team leadership
  • Lead workshops, executive presentations, and stakeholder sessions.
  • Mentor junior practitioners and contribute to practice, offering, and go-to-market development.

The team

Our AI & Data practice offers comprehensive solutions for designing, developing, and operating advanced Data and AI platforms, products, insights, and services. We help clients innovate, enhance, and manage their data, AI, and analytics capabilities, ensuring they can grow and scale effectively.

Qualifications

Required:

  • 10+ years of experience in enterprise data architecture, data strategy, analytics, AI/ML, and digital transformation
  • 8+ years of experience with large-scale cloud-enabled Financial Services-Insurance industry AI and data projects
  • 4+ years of experience leading, managing, and delivering complex technology engagements
  • Bachelor's degree in Computer Science, Engineering, Data Science, or Artificial Intelligence
  • Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve
  • Limited immigration sponsorship may be available.

Preferred:

  • Experience with cloud computing platforms, including Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP)
  • Experience leading executive presentations and client workshops for technical and non-technical audiences
  • Experience developing proposals or solution materials for data and analytics professional services engagements
  • Experience creating client-facing materials for workshops and interactive sessions
  • Advanced degree in Computer Science, Engineering, Data Science, or Artificial Intelligence

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $171,600 to $338,300.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Qualifications:

Join our AI & Engineering team in transforming technology platforms, driving innovation, and helping make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and re-engineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.

Recruiting for this role ends on 07/20/2026.

Work you'll do

As an Associate Vice President, AI and Data Solutions on the AI & Data team, you will be responsible for:

  • Lead AI & Data engagements for our Financial Services - Insurance industry clients
  • Translate business problems into scalable AI, data, and digital solutions
  • Work across strategy, product, data, engineering, and client stakeholder groups to define solution approach and delivery plans
  • Advise clients on operating model implications, business value, roadmap sequencing, and adoption considerations for AI-enabled transformation
  • Support broader AI & Data pursuits and engagements beyond Insurance when needed
  • Lead engagement planning, budgeting, staffing, and team mobilization for data and AI initiatives
  • Define deliverable structure and content; manage quality, timelines, economics, and engagement risk
  • Manage day-to-day interactions with executive clients and sponsors and facilitate buy-in for proposed solutions
  • Lead business development activities, including client relationship development, pursuit leadership, proposal development, and pricing strategy input
  • Coach and develop practitioners through counseling, staffing input, recruitment, retention, and delivery team leadership
  • Lead workshops, executive presentations, and stakeholder sessions.
  • Mentor junior practitioners and contribute to practice, offering, and go-to-market development.

The team

Our AI & Data practice offers comprehensive solutions for designing, developing, and operating advanced Data and AI platforms, products, insights, and services. We help clients innovate, enhance, and manage their data, AI, and analytics capabilities, ensuring they can grow and scale effectively.

Qualifications

Required:

  • 10+ years of experience in enterprise data architecture, data strategy, analytics, AI/ML, and digital transformation
  • 8+ years of experience with large-scale cloud-enabled Financial Services-Insurance industry AI and data projects
  • 4+ years of experience leading, managing, and delivering complex technology engagements
  • Bachelor's degree in Computer Science, Engineering, Data Science, or Artificial Intelligence
  • Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve
  • Limited immigration sponsorship may be available.

Preferred:

  • Experience with cloud computing platforms, including Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP)
  • Experience leading executive presentations and client workshops for technical and non-technical audiences
  • Experience developing proposals or solution materials for data and analytics professional services engagements
  • Experience creating client-facing materials for workshops and interactive sessions
  • Advanced degree in Computer Science, Engineering, Data Science, or Artificial Intelligence

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $171,600 to $338,300.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Education:Bachelor's DegreeEmployment Type:

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