1

Data Science Insurance Jobs in Wisconsin (NOW HIRING)

Auto req ID: 52054 Title: Mgr Data Science Job Function: Digital Location: JUNEAU Workplace ... health insurance benefits, a 401k program, onsite fitness centers and employee stores, employee ...

Auto req ID: 52054 Title: Mgr Data Science Job Function: Digital Location: JUNEAU Workplace ... health insurance benefits, a 401k program, onsite fitness centers and employee stores, employee ...

Auto req ID: 52054 Title: Mgr Data Science Job Function: Digital Location: JUNEAU Workplace ... health insurance benefits, a 401k program, onsite fitness centers and employee stores, employee ...

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

... 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 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 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 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 ...

next page

Showing results 1-20

Data Science Insurance information

See Wisconsin salary details

$21K

$99K

$186.7K

How much do data science insurance jobs pay per year?

As of Jun 19, 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 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.

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 the most commonly searched types of Data Science Insurance jobs in Wisconsin? The most popular types of Data Science Insurance jobs in Wisconsin are:

Mgr Data Science

Harley-Davidson

Milwaukee, WI โ€ข On-site

Full-time, Part-time

Medical, Retirement

Posted 18 days ago


Job description

Auto req ID: 52054
Title: Mgr Data Science
Job Function: Digital
Location: JUNEAU
Workplace Category:Onsite
Company: Harley-Davidson Motor Company
Full or Part-Time: Full Time
Shift: SHIFT1

At Harley-Davidson, we are building more than machines. It's our passion and commitment to continue the evolution of this storied brand, and heighten the desirability of the Harley-Davidson experience. To keep building our legend and leading our industry through innovation, evolution, and emotion we need the best and brightest talent. We stand for the timeless pursuit of adventure. Freedom for the soul. Are you ready to join us?
Harley-Davidson Motor Company, founded in a humble Milwaukee backyard shed in 1903, still calls the city home. Today, its Corporate Campus includes a 4.8-acre public park-a welcoming greenspace open to all. Join our team as a Mgr Data Science.
Job Summary
The Manger of Data Science will lead the development and implementation of predictive and prescriptive models as well as other advanced analytics solutions to support key business decisions in one or more practices and/or areas across the company. These include developing propensity to purchase, churn, recommender systems, key drivers, sales forecasts, and location models among others. The successful candidate will manage a team of data scientists and collaborate closely with stakeholders across various departments to identify new opportunities to drive efficiency and growth.
Job Responsibilities
  • Lead the development of a wide variety of large-scale data science projects from the ground up, including framing data problems, identifying clear lines of questioning, uncovering and extracting value from new and old data sources, and checking your work against current business knowledge and best practice while having an eye towards improvement where possible.
  • Lead and mentor a team of data scientists by example. Provide technical guidance, set performance expectations, and facilitate professional development in hard and soft skills.
  • Proactively stay ahead of industry trends, opportunities, and risks in the motorcycle and data science landscapes.
  • Communicate important insight to immediate stakeholders and sr. leadership by creating clear and concise presentations of project results and other pertinent information.
  • Develop plans to create and maintain models that predict the likelihood of movement through a customer journey (becoming a lead, purchasing product, accessorizing, churn, lifetime value, etc.), forecast and understand key sales drivers, optimize dealer sales potential, and drive the business by other means.
  • Review performance of implemented plans and models as well as the effect of data science products on pricing, sales effectiveness, lead performance, and other key business metrics.

Education Requirements
Bachelor's Degree Required
Education Specifications
  • Bachelor's Degree in a quantitative discipline such as Statistics, Data Science, Computer Science, Mathematics, or a related field
  • Master's Degree or Ph.D. Preferred

Experience Requirements
This position typically requires 8 years of experience in applying data science techniques across a wide variety of business problems. In addition, the successful candidate will have demonstrated the following:
  • Proven ability to uncover and integrate data from many sources, identifying unasked questions, and advancing business goals
  • Expert level knowledge of statistics, machine learning, their application, and their underlying assumptions
  • Expert level knowledge of Python, R, Azure, Spark, and other common languages, data platforms, and frameworks, as well as the aptitude for independently learning others
  • Expertise in data visualization
  • Excellent critical thinking skills, diligence, and the ability to work both independently and collaboratively
  • Excellent critical thinking skills and the ability to work independently and collaboratively.

The pay range shown represents the national average pay range for this role. Your pay may be more or less than the stated range and is dependent on your geographic location and level of experience.
We offer an inclusive compensation package for all full-time salaried employees including, but not limited to, annual bonus programs, health insurance benefits, a 401k program, onsite fitness centers and employee stores, employee discounts on products and accessories, and more. Learn more about Harley-Davidson here.
Applicants must be currently authorized to work in the United States.
Direct Reports: Yes
Travel Required: 0 - 10%
Pay Range: 137,100 - 219,400

Visa Sponsorship: This position is not eligible for visa sponsorship or visa transfer
Relocation: This position is eligible for domestic relocation assistance (within posted country)