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Insurance Computer Science Jobs in Illinois (NOW HIRING)

Senior Software Engineer

Chicago, IL

$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 ...

IL0219 - Data Scientist.

Warrenville, IL ยท On-site +1

$128K/yr

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 ...

IL0219 - Data Scientist.

Warrenville, IL ยท On-site +1

$128K/yr

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 ...

IL0219 - Data Scientist.

Warrenville, IL ยท On-site +1

$128K/yr

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 ...

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

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 ...

Bachelor s/master s in computer science, Statistics, Data Science, or related field. 10+ years in ML/Data Science, with 3+ years leading GenAI projects in insurance/finance. Expertise in Python, ML ...

Senior Data Scientist

Chicago, IL ยท 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.

Data Science Lead Analyst

Schaumburg, IL ยท On-site

$157K - $163K/yr

... Computer Science or related field and 4 years of experience as a Developer, Data Analyst, Business ... insurance; and wellness programs. Citi also offers paid time off packages, including planned time ...

Functional Consultant (P&C Insurance) About Convr: Convr is an AI underwriting, data, and ... Bachelor's degree in Business, Information Systems, Computer Science, or related field * 3-5+ years ...

Functional Consultant (P&C Insurance) About Convr: Convr is an AI underwriting, data, and ... Bachelor's degree in Business, Information Systems, Computer Science, or related field * 3-5+ years ...

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Showing results 1-20

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 Illinois? For Insurance Computer Science jobs in Illinois, the most frequently searched job titles are:
What cities in Illinois are hiring for Insurance Computer Science jobs? Cities in Illinois with the most Insurance Computer Science job openings:
Senior Data Scientist

Contractor

Posted 20 days ago


Job description

Senior Data Scientist | Chicago, Illinois, United States Senior Data Scientist - Claims & Risk Analytics (Remote, CST Hours) Location: Remote (US, CST hours) Duration: 12-month contract with extension potential Job Type: C2C About the Role: Join a cutting-edge analytics team as a Senior Data Scientist and drive transformative machine learning and NLP solutions for an industry-leading claims and incident mitigation project. Make a real impact by helping risk management teams predict, classify, and proactively address high-risk insurance claims. This is a fully remote opportunity offering exposure to large-scale data challenges, cloud technologies, and cross-functional collaboration-all while advancing your career in applied data science. Responsibilities: - Design and implement ML and NLP solutions for insurance claims and incident mitigation analytics - Translate complex risk management business needs into actionable data science strategies - Profile, clean, and prepare structured and unstructured claims and incident data for modeling - Engineer advanced features and leverage NLP to extract key risk signals from narrative data - Apply record linkage techniques to connect disparate data sources without unique identifiers - Build, validate, and deploy models ranking incidents by claim likelihood and severity - Classify claims by probable financial impact and assist in fraud detection - Collaborate closely with Risk Management, Legal, Data Engineering, BI, Data Governance, and MLOps teams - Monitor model performance, ensure scoring quality, and manage retraining cycles - Document assumptions, feature logic, validation outcomes, and model limitations - Present results and actionable insights to both technical and business stakeholders Required Skills and Experience: - Master's degree in computer science, statistics, industrial engineering, or related field (PhD preferred) - 5+ years in data science, operations research, or related area (2+ with PhD) - Deep expertise in insurance claims analytics, risk analysis, and fraud detection - Proficient in operations research modeling (LP, IP, MIP) and optimization tools (CPLEX, Gurobi) - Advanced skills in machine learning (supervised, unsupervised, deep learning), model evaluation, and feature engineering - Programming expertise in Python, SQL, Spark; strong command of ML frameworks (Scikit-Learn, XGBoost, Tensorflow, PyTorch, MXNet, LLM) - Cloud deployment experience (AWS, Azure, GCP) with large, complex datasets - Hands-on with streaming data architectures, Agile methodologies, DevOps, and CI/CD practices - Strong communication, documentation, and teamwork abilities Preferred Skills: - Background working with data in hospitality, travel, or service industry settings - Advanced understanding of data architecture and MLOps best practices - Proven track record translating analytics into measurable business impact - Demonstrated passion for innovation and continuous learning in data science Benefits: - Flexible remote work with collaborative, expert teams - Exposure to state-of-the-art cloud and AI technologies - Opportunity to work on high-impact, high-visibility projects - Professional growth through cross-functional engagement and challenging problem-solving - Potential contract extension based on performance How to Apply: If you are a data science expert passionate about transforming risk analytics and driving actionable business outcomes, we want to hear from you. Apply now with your updated resume for immediate consideration!

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About Indotronix

Sourced by ZipRecruiter

In 1986, Indotronix established itself in the staffing space. 22 years later, Avani entered the scene, offering consulting and technology development. Finally, in 2016, the two joined forces to begin delivering talent across all areas, from Staffing to Consulting to unique platform development.

Industry

Recruiting and staffing services

Company size

1,001 - 5,000 Employees

Headquarters location

Rochester, NY, US