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Data Science Insurance Jobs in Wisconsin (NOW HIRING)

Innovizant LLC

Data Scientist

Madison, WI · On-site

... Insurance/Retail Insurance) is a minor edge. • MS in AI/Data Science would also be a plus ... Qualifications Data Science, Analysis, Python, R, Statistical Modeling, Machine Learning Additional ...

Innovizant LLC

Data Scientist

Madison, WI

... Insurance/Retail Insurance) is a minor edge. MS in AI/Data Science would also be a plus ... Qualifications Data Science, Analysis, Python, R, Statistical Modeling, Machine Learning Additional ...

DataCamp

Data Science Editor

Belgium, WI · On-site +1

DataCamp is looking for a Data Science Editor! As part of the editorial team, you are a seasoned ... insurance including dental and vision. Depending on your location additional benefits might be ...

DataCamp

Data Science Editor

Belgium, WI · On-site +1

DataCamp is looking for a Data Science Editor! As part of the editorial team, you are a seasoned ... insurance including dental and vision. Depending on your location additional benefits might be ...

DataCamp

Data Science Editor

Belgium, WI · On-site +1

DataCamp is looking for a Data Science Editor! As part of the editorial team, you are a seasoned ... insurance including dental and vision. Depending on your location additional benefits might be ...

Sedgwick

Principal Data Scientist

Milwaukee, WI · On-site +1

... Services & Insurance Principal Data Scientist Job Responsibilities * Lead the design and ... Qualifications * Master's or PhD in Data Science, Statistics, Mathematics, Computer Science ...

Wisconsin

Data Scientist II

Madison, WI · On-site +1

$80K/yr

Independently identifies and implements appropriate data science techniques to find data patterns ... insurances and savings accounts; retirement benefits. For more information, refer to the campus ...

The Weather Channel

Senior Data Scientist

Madison, WI · On-site

... insurance, retailers, and consumer product groups. As a consequence you will apply and/or learn a ... You will work on a skilled team of passionate data scientists and meteorologists. Examples of ...

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$21K

$99K

$186.7K

How much do data science insurance jobs pay per year?

As of May 28, 2026, the average yearly pay for data science insurance in Wisconsin is $98,989.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,482.00 and $140,622.00 per year, depending on experience, location, and employer.

What is a Data Science Insurance job?

A Data Science Insurance job involves using data analytics, machine learning, and statistical modeling to assess risks, detect fraud, optimize pricing, and enhance customer experience in the insurance industry. Professionals in this role analyze large datasets to identify patterns and trends that help insurers make data-driven decisions. They work with actuarial teams, underwriters, and claims departments to improve risk assessment and operational efficiency. This role requires expertise in programming languages like Python or R, as well as proficiency in data visualization, predictive modeling, and big data processing.

What are the key skills and qualifications needed to thrive in the Data Science Insurance position, and why are they important?

To thrive in Data Science Insurance, you need strong analytical skills, proficiency in statistical modeling, and a solid foundation in mathematics and insurance principles, often supported by a degree in data science or actuarial science. Experience with programming languages like Python or R, data visualization tools, and knowledge of insurance-specific software or relevant certifications like ACAS or CSPA are highly valued. Excellent problem-solving abilities, attention to detail, and clear communication skills are essential for translating complex data into actionable insights for diverse teams. These competencies enable professionals to accurately assess risk, improve decision-making, and drive innovation within insurance organizations.

What are some common challenges faced by data scientists working in the insurance industry?

Data scientists in the insurance sector often encounter challenges like working with large, complex, and sometimes incomplete datasets, as well as navigating strict regulatory frameworks. Balancing the need for highly accurate predictive models with the business's risk appetite and operational constraints is a key aspect of the job. Additionally, there's a strong emphasis on explaining complex analytical findings to non-technical stakeholders such as underwriters, actuaries, or business managers. These challenges foster collaborative problem-solving and help data science professionals sharpen both their technical and communication skills in a real-world environment.
More about Data Science Insurance jobs
What are the most commonly searched types of Data Science Insurance jobs in Wisconsin? The most popular types of Data Science Insurance jobs in Wisconsin are:
What are popular job titles related to Data Science Insurance jobs in Wisconsin? For Data Science Insurance jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Data Science Insurance jobs in Wisconsin look for? The top searched job categories for Data Science Insurance jobs in Wisconsin are:
Data Science Insurance jobs near you
Infographic showing various Data Science Insurance job openings in Wisconsin as of May 2026, with employment types broken down into 73% Full Time, 23% Part Time, and 4% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $98,989 per year, or $47.6 per hour.
Data Scientist

Data Scientist

Innovizant LLC

Madison, WI • On-site

Full-time

Posted 17 days ago

Job description

Company Description
Innovizant LLC (headquartered in Chicago, USA) is a leading-edge, global IT Services organization with Sales and delivery offices in Asia. Innovizant LLC, is a Full-service IT provider, focused on delivering Innovative and value driven business analytical solutions leveraging data science, data engineering and decision science to provide winning actionable insights assisting our financial services clients banking, Insurance and credit union business in achieve their business goals.
Innovizant made up of exceptional data scientists and domain experts with a great experience in Our financial services industry solutions include Credit Risk insights, Customer Churn analysis, Customer segmentation, Fraud detection, Asset and Liability analysis, channel optimization analytics, Financial Advisor Network Analytics and product bundling analytics.
Some of our sur accelerators and solution frameworks assist our clients including FIN-CDO (which provided pre-delivered data strategies for the office of Chief Data Officer), BASEL-PRO (for achieving compliance with industry requirements of Basel-BCBS239,) and SmartCECL (Risk mitigation strategies by predicting default and loss given a default)
With data becoming the new 'oxygen' of businesses, many data science consulting firms have evolved in recent times, and they are also contributing the best of their solutions to the modern-day clients. It means today; you can easily find a solution for data sciences. However, the biggest challenge during managing this data comes across in the terms of 'Value Realization'. The true measure of success is to be able to put the data science insights into actionable events.
Many organizations have ended up spending a significant chunk of their analytics budget in some implementing data sciences solution - with minimal to no returns.
Job Description
Role: Data Scientist
Location: Madison, WI
Full Time (Direct Hire)
Job description
• 5+ Years of total experience and 2-4 years of in-depth and superlative experience in Data Science.
• Experience in Statistical modeling.
• Candidate will be helping the client to lead this process or improve upon the program.
• Extremely proficient in Data Analysis, data wrangling, model development, software development, A/B Testing, Back Testing.
• Extremely efficient in Python and R.
• Extremely efficient in identifying right analytics model methods and using them. Gradient Boosting, Decision Tree, Regression - are absolutely must.
• Exposure to Insurance (especially consumer Insurance/Retail Insurance) is a minor edge.
• MS in AI/Data Science would also be a plus.
Qualifications
Data Science, Analysis, Python, R, Statistical Modeling, Machine Learning
Additional Information
Thanks & Regards,
Aditya Prakash / Resource Manager / Innovizant LLC
Phone : 630-685-1260
aditya.prakash(AT)innovizant(DOT)com

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