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Data Science Insurance Jobs in Wisconsin (NOW HIRING)

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 ...

US Bank

Data Scientist

Brookfield, WI · On-site

$111K - $131K/yr

... science, engineering or applied mathematics, or equivalent work experience - Six to eight years of ... Basic term and optional term life insurance * Short-term and long-term disability * Pregnancy ...

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 ...

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 ...

Valid8 Financial, Inc.

Data Engineer

Appleton, WI · On-site

$109K - $130K/yr

Support ad hoc data science and machine learning workflows within Dataiku. What You Bring to the ... insurance, accidental death and dismemberment (AD&D), PTO program, flex work schedules and paid ...

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How much do data science insurance jobs pay per year?

As of Sep 9, 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?

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 data science insurance?

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.

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 September 2026, with employment types broken down into 1% As Needed, 73% Full Time, 20% Part Time, 1% Temporary, and 5% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $98,989 per year, or $47.6 per hour.

Postdoctoral Researcher - Data Science Institute

Milwaukee, WI • On-site

Medical College of Wisconsin
Health Care and Social Assistance • 5 - 10K employees
Learn more about Medical College of Wisconsinexternal

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 15 days ago

Medical College Of Wisconsin rating

7.7

Company rating: 7.7 out of 10

Based on 29 frontline employees who took The Breakroom Quiz

262nd of 633 rated colleges and universities

Job description

Summary
According to the National Institute of Health (NIH) and the National Science Foundation (NSF), a postdoc is an individual who has received a doctoral degree (or equivalent) and is engaged in a temporary and defined period of mentored advanced research training to enhance the professional skills and research independence needed to pursue his or her chosen career path. In addition, according to the National Postdoc Association (NPA), Postdoctoral appointees can pursue basic, clinical or translational projects so long as their primary effort is devoted toward their own scholarship. Postdocs are essential to the scholarly mission of the mentor and host institution, and thus are expected to have the freedom to publish the results of their scholarship.
The Hogan Lab in the Data Science Institute is seeking a post-doctoral researcher for work in ontology, semantic web, and referent tracking. The incumbent will gain experience managing existing, as well as starting new, ontologies and using them in various annotation and data management applications.
A key project is the Advancing Prevention Research in Cancer through Ontology Tools (APRICOT) Project funded by the US National Institutes of Health, working with behavioral scientists and ontologists across three other European sites. This project is developing ontologies and associated tools and resources to be used in reporting behavior research. This position will work on the development of the Ontology for Modeling and Representation of Social Entities (OMRSE) and its interoperability with the Behaviour Change Intervention Ontology (BCIO).
Primary Responsibilities
  • Contribute to the development of the Ontology for Modeling and Representation of Social Entities (OMRSE); manage the issue tracker; create periodic releases; lead development meetings.
  • APRICOT project deliverables, including but not limited to developing interoperability between OMRSE and the BCIO and the annotation of Social Determinants of Health instruments and data.
  • Participate in APRICOT meetings, events.
  • Contribute to the development of the Rehabilitation Ontology (REHABO); manage the issue tracker; create periodic releases; lead development meetings.
  • Contribute to the development of the Drug Ontology (DrOn); manage the issue tracker; create periodic releases; lead development meetings

General responsibilities:
  • Plan, design and execute complex research studies, procedures and protocols.
  • Participate in discovery projects.
  • Coordinate research study activities; lead and manage projects.
  • Oversee organization, synthesis and analysis of data and findings.
  • Prepare scientific reports, outcome findings and scientific manuscripts.
  • Participate in meetings with principal investigator and research staff in which you will evaluate/interpret the validity of data, develop methodologies, and design and evaluate lab procedures.
  • Maintain supplies, may require negotiation with vendors, and track purchase orders.
  • May oversee the work of laboratory personnel including training and development as well as daily work direction, delegation and establishing priorities.
  • Other duties as assigned.

Knowledge - Skills - Abilities
  • Required knowledge: ontology, terminology, controlled vocabularies, data models
  • Technical knowledge: Web Ontology Language, Protégé, GitHub
  • Strong interest in multi-disciplinary collaboration
  • Writing skills
  • Skills and abilities: presentation skills, organization, time management, multi-tasking.
  • Documentation and records management
  • Data utilization
  • Complex problem solving and critical thinking
  • Resource management

Qualifications
Minimum Required Education: PhD in a scientific field or MD
Minimum Required Experience: 0 years
Preferred Education: PhD in Biomedical Informatics or related field
Preferred Experience: Ontology, semantic web, referent tracking
Physical Requirements
Work requires occasionally lifting moderate weight materials, standing, or walking continuously.
Work Environment
Occasional exposure to dust, noise, temperature changes, or contact with water or other liquids. Work is performed in an environmentally controlled environment.
Sensory Acuity
Ability to detect and translate speech or other communication required. May occasionally require the ability to distinguish colors and perceive relative distances between objects.
Why MCW?
  • Outstanding Healthcare Coverage, including but not limited to Health, Vision, and Dental. Along with Flexible Spending options
  • 403B Retirement Package
  • Competitive Vacation and Paid Holidays offered
  • Tuition Reimbursement
  • Paid Parental Leave
  • Employee & Family Assistance Program (EFAP)
  • Pet Insurance
  • On campus Fitness Facility, offering onsite classes
  • Additional discounted rates on items such as: Select cell phone plans, local fitness facilities, Milwaukee recreation and entertainment etc.

For a brief overview of our benefits see: Benefits Overview
For a full list of positions see: MCW Careers
At MCW all of our endeavors, from our internal operations to our interactions with our partners, are driven by our shared organizational values: Caring - Collaborative - Curiosity - Inclusive - Integrity - Respect. We are committed to fostering an inclusive environment that values diversity in backgrounds, experiences, and perspectives through merit-based processes and in alignment with all applicable laws. We believe that embracing human differences is critical to realize our vision of a healthier world, and we recognize that a healthy and thriving community starts from within. Our values define who we are, what we stand for and how we conduct ourselves at MCW. If you believe in embracing individuality and working together according to these principles to improve health for all, then MCW is the place for you. For more information, please visit our institutional website.
MCW as an Equal Opportunity Employer and Commitment to Non-Discrimination:
The Medical College of Wisconsin (MCW) is an Equal Opportunity Employer. We are committed to fostering an inclusive community of outstanding faculty, staff, and students, as well as ensuring equal educational opportunity, employment, and access to services, programs, and activities, without regard to an individual's race, color, national origin, religion, age, disability, sex, gender identity/expression, sexual orientation, marital status, pregnancy, predisposing genetic characteristic, or military status. Employees, students, applicants or other members of the MCW community (including but not limited to vendors, visitors, and guests) may not be subjected to harassment that is prohibited by law or treated adversely or retaliated against based upon a protected characteristic.

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About Medical College of Wisconsin

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The Medical College of Wisconsin (MCW) is an industry-leading educational institution located in Milwaukee, WI, US. Being part of the medical and health services sector, MCW's primary mission is to educate and train the next generation of healthcare professionals. MCW offers a wide array of degrees and programs within medical and health sciences, covering everything from medical, graduate, pharmacy and health sciences studies, to continuing professional developments and community engagement initiatives. Founded in 1893, MCW boasts a rich, well-entrenched history in shaping the medical education landscape locally and globally. The institution's core values of knowledge-changing life underline its dedication to incorporating innovative approaches in education and research, commitment to diversity and inclusion, service to the community, integrity, stewardship, and collaboration.

Industry

Health care and social assistance

Company size

5,001 - 10,000 Employees

Headquarters location

Milwaukee, WI, US

Year founded

1893

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