ZipRecruiter

Log In

1

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

Omnicom Media US PHD

Director, Data Science

Chicago, IL · 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) ...

Abbott

Technical Support Scientist I

Des Plaines, IL · On-site

$25 - $29/hr

Technical Support Scientist I Location: Des Plaines, Illinois Duration: 12 Months 100%Onsite ... Supplemental Life Insurance * Short Term Disability (coverage varies by state) * Long Term ...

Omnicom Media US H&S

Director, Data Science

Chicago, IL · 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) ...

The Hartford

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 ...

Next Step Systems

Data Science Developer

Chicago, IL · On-site

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 ...

Codehs

Curriculum Specialist, High School

Chicago, IL · On-site

$65K - $75K/yr

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

PURE Insurance

Lead Actuarial Data Scientist

Chicago, IL · On-site

$170K - $200K/yr

... home insurance products. * Build and refine pricing models using GLMs, GBMs, and other ML ... Bachelor's or Master's degree in Actuarial Science, Mathematics, Statistics, Computer Science, or a ...

Codehs

Curriculum Developer, High School

Chicago, IL · On-site

$70K - $85K/yr

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 ...

Meds

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 ...

Meds

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 ...

next page

Showing results 1-20

All JobsInsurance Computer Science JobsInsurance Computer Science Jobs in Chicago, IL

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:
Insurance Computer Science jobs near you

Director, Data Science

Omnicom Media US PHD

Chicago, IL • On-site

$120K - $175K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted yesterday

Job description

PHD is a global communications planning and media buying agency network delivering smart strategic thinking and creative innovation for the world's leading brands. Brilliant media thinking is in our DNA. A culture of thought-leadership, creativity and innovation has seen us grow from a challenger agency in the UK, to a global leader with over 6,000 employees in over 100 offices worldwide. We combine the latest industry insight with the best creative minds to produce planning innovation and create award-winning work for some of the world's largest advertisers. Finding a better way is our ethos and sums up how we approach everything - from a new client brief to the way we work.
Team Overview
At PHD, we provide our clients with powerful and innovative media strategies, along with big ideas that are driven by insights. PHD Data Scientists deliver analytic solutions across a wide variety of client applications and help brands to connect better with the customers. They process and integrate big data in data clean rooms from media advertising platforms including the first party and the third-party data and support business insights and growth solutions.
Our data scientists build advanced predictive models utilizing machine learning and advanced statistic. PHD data scientists leverage data to address various types of marketing challenges such as audience creation, segmentation, identifying audience journey, optimization, digital attribution, customer retention, customer behavior prediction, and cross channel customer experience.
The Data Science team is pivotal in the delivery of modern agency services. We are tightly integrated with marketing science teams to deliver on and exceed our clients' business goals.
Responsibilities
External facing responsibilities:
  • Partner with Planning & Investment teams to provide expert hands-on and well as strategic Data Science support across the entire campaign lifecycle.
  • Build advanced ML models to cluster and segment audiences, scale and deploy custom audiences across various platforms/ publishers
  • Run descriptive and diagnostic analyses to help measure campaign performance within clean rooms and/or other analytics platforms (e.g., Google ADH, Facebook advanced analytics, Amazon Marketing Cloud, etc.)
  • Help develop strategic analytical roadmaps to institutionalize data driven outcomes
  • Excellent project management skills with an ability to set and achieve goals, meet deadlines and act with a strong sense of urgency without compromising executional excellence
  • Leverage technical (coding) expertise to help bring about process efficiencies

Internal facing responsibilities:
  • Build and present decks that provide a compelling narrative to decode complex analytical results to technical and non-technical audiences
  • Help design and develop the DS practice knowledge repository and delegate tasks to junior resources to support vision
  • Lead and train direct reports and manage their career progression

Required Skills
  • Hands-on programming language skills (SQL, Python, R, etc)
  • Experienced in machine learning techniques, causal models, etc. to support the analysis of information
  • Advanced presentation and communication skills
  • Experience working with non-technical teams
  • Clear understanding of digital clean rooms, and their related concepts and strategy
  • Certifications in any of the following: Meta (Blueprint), SQL, Python, R (online)
  • Expert-level domain knowledge of business/industry

Education and Experience
  • A university degree in mathematics, computer science, statistics or related field, and 7-10 years of experience in informatics work in academia, advertising, management consulting, marketing or digital consulting
  • Knowledge of agency-side execution process is desirable, but not required

#LI-CC2
This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on relevant experience, other job-related qualifications/skills, and geographic location (to account for comparative cost of living). The Company reserves the right to modify this pay range at any time. For this role, benefits include: health insurance, vision insurance, dental insurance, 401(k), Healthcare Flexible Spending Account, Dependent Care Flexible Spending Account, vacation days, sick days, personal days, paid parental leave, paid medical leave, and STD/LTD insurance benefits.
Compensation Range
$120,000-$175,000 USD
This role is hybrid, requiring three (3) days per week in the office. The remaining two (2) days may be worked remotely. Specific in-office days will be discussed during the interview process, with flexibility to align with team needs. Please note that the number or required in-office days may be adjusted over time, potentially increasing the number of required in-office days based on business needs.
Review Our Recruitment Privacy Notice

Apply