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

... Computer Science double major or Statistics/Math and Operation Research double major We are proud to offer our employees, their domestic partners, and their children, a wide range of insurance ...

Director of Data Science

Chicago, IL · On-site +1

$153K - $229K/yr

Dir Data Science - GD06AE We're determined to make a difference and are proud to be an insurance ... Data Science, Computer Science, or a similar analytical field, or a relevant professional ...

Qualifications: - BS/BA degree required. (Coursework in Statistics, Finance, or Computer Science ... Benefits include medical insurance, retirement plan, PTO, etc. Salary: 80K+ DOE. Keywords: Chicago ...

Required Qualifications • Bachelor's degree in Computer Science, Mathematics, Actuarial Science, Finance, Insurance, or a related field, or an equivalent combination of education and experience ...

Master's or PhD degree in statistics, applied mathematics, financial mathematics, computer science ... You can also opt into a legal plan, pet insurance, and travel accident coverage. For Your Family

Knowledge of computer science education standards (CSTA, state standards) * Experience creating instructional content or supporting teachers Benefits: * Health, dental, and vision insurance * 401(k) ...

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

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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:
Lead Data Science Product Mgr

Lead Data Science Product Mgr

Health Care Service Corporation

Chicago, IL • On-site

$112K - $202K/yr

Full-time

Medical, Life, Retirement, PTO

Re-posted 7 days ago


Job description

At HCSC, our employees are the cornerstone of our business and the foundation to our success. We empower employees with curated development plans that foster growth and promote rewarding, fulfilling careers.

Join HCSC and be part of a purpose-driven company that will invest in your professional development.

Job SummaryWe are looking to hire a Lead Data Science Product Manager to join our AI Solutions team at HCSC.
At the largest customer-owned and not-for-profit health insurer and fourth largest health insurer overall in the United States, you will have the opportunity to help drive meaningful business impact using advanced AI technologies", improve our operational and member-facing processes, and affect how healthcare is delivered to our 17 million members.
An ideal candidate is someone who has a demonstrated track record of leading or delivering analytical projects and products with measurable value, can see the big picture and effectively communicate with executives, has an ability to explain complex technical concepts to non-technical audiences, and has a laser-focused customer and user-centric mindset. Day-to-day tasks include engaging senior and executive leadership to understand their most significant business challenges, designing new AI products and solutions to automate or enable better decision making to address these challenges, building long-term product roadmaps, scaling and delivering on those products by working within cross-functional data science, IT, and business teams, and providing overall product leadership for one or more of our machine learning and AI initiatives. Successful candidates will also have indirect leadership over data scientists and engineers assigned to these initiatives.

Required Job Qualifications:
* Bachelor degree and 5 years of work experience in a mathematical, statistical, computer science, engineering, physics, economics or related quantitative field OR Actuarial credential or Master degree and 4 years of work experience in an advanced mathematical, statistical , engineering, physics or related quantitative field OR Ph.D. and 2 years of work experience in a mathematical, statistical, computer science, engineering, physics, economics or related quantitative field OR 8 years of work experience in an advanced mathematical, statistical , engineering, physics or related quantitative field
* Must demonstrate proficiency in at least four of the following six areas: 1) data analysis and relational-style query languages; 2) machine learning and/or statistical modeling; 3) data visualization; 4) a high-level programming language; 6) understanding of healthcare.
* Strong learning and growth mindset
* Customer-focused
* Strong interpersonal, verbal and written communication skills
* A track record of independently delivering or leading the delivery of multiple complex analytics or data science projects
Preferred Job Qualifications:

* Previous product management experience

* Experience with Generative AI and other cutting edge AI technologies (e.g., agentic AI) is strongly preferred.
* Previous experience working with insurance claims systems and/or healthcare experience
* Experience with Iterative / Agile / Scrum development

*Experience successfully implementing at-scale A.I. solutions in cloud environments

Are you being referred to one of our roles? If so, ask your connection at HCSC about our Employee Referral process!

Pay Transparency Statement:

At Health Care Service Corporation, you will be part of an organization committed to offering meaningful benefits to our employees to support their life outside of work. From health and wellness benefits, 401(k) savings plan, pension plan, paid time off, paid parental leave, disability insurance, supplemental life insurance, employee assistance program, paid holidays, tuition reimbursement, plus other incentives, we offer a robust total rewards package for employees. Learn more about our benefit offerings by visiting https://careers.hcsc.com/totalrewards.

The compensation offered will vary depending on your job-related skills, education, knowledge, and experience. This role aligns with an annual incentive bonus plansubject to the terms and the conditions of the plan.

HCSC Employment Statement:

We are an Equal Opportunity Employment employer dedicated to providing a welcoming environment where the unique differences of our employees are respected and valued. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other legally protected characteristics.

Base Pay Range$112,200.00 - $202,600.00

Exact compensation may vary based on skills, experience, and location.