ZipRecruiter

Log In

1

Data Scientist Insurance Jobs in Madison, WI (NOW HIRING)

Danaher

Application Support Scientist

Madison, WI · On-site

Ability to present scientific data clearly to diverse audiences and build strong relationships with ... We offer comprehensive package of benefits including paid time off, medical/dental/vision insurance ...

AbbVie

Senior Scientist I, Mechanical Engineering

Madison, WI · On-site

$105K - $139K/yr

Acquire, integrate, and analyze system data to ensure the performance and reliability of hardware ... insurance and 401(k) to eligible employees.​ * This job is eligible to participate in our short ...

AbbVie

Senior Scientist I, Mechanical Engineering

Madison, WI · On-site

$105K - $139K/yr

Acquire, integrate, and analyze system data to ensure the performance and reliability of hardware ... vision insurance and 401(k) to eligible employees. * This job is eligible to participate in our ...

previous page

Showing results 41-60

All JobsData Scientist Insurance JobsData Scientist Insurance Jobs in Madison, WI

Data Scientist Insurance information

See Madison, WI salary details

$37.8K

$123.7K

$198K

How much do data scientist insurance jobs pay per year?

As of Sep 3, 2026, the average yearly pay for data scientist insurance in Madison, WI is $123,675.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,300.00 and $137,000.00 per year, depending on experience, location, and employer.

What does a data scientist do in the insurance industry?

A Data Scientist in the insurance industry analyzes large volumes of data to identify trends, predict risks, and improve decision-making processes. They use statistical models, machine learning, and data visualization to assess policyholder behavior, detect fraud, and optimize pricing strategies. Their work helps insurance companies create better products, reduce losses, and provide more personalized services to clients.

What are the key skills and qualifications needed to thrive as a data scientist in the insurance industry?

To thrive as a Data Scientist in insurance, you need strong statistical analysis, data modeling, and programming skills, often supported by a degree in computer science, mathematics, or a related field. Familiarity with tools such as Python, R, SQL, SAS, and machine learning frameworks, along with relevant certifications, is typically required. Exceptional problem-solving, communication, and business acumen help translate complex data insights into actionable strategies for underwriting, claims, and risk assessment. These skills are essential for driving data-driven decisions, optimizing processes, and maintaining a competitive edge in the insurance sector.

How do data scientists in the insurance industry typically collaborate with underwriters and actuaries?

Data Scientists in insurance work closely with underwriters and actuaries to develop predictive models, risk assessments, and pricing strategies. Collaboration often involves regular meetings to discuss business requirements, share model outputs, and interpret analytical findings in the context of insurance products. Data Scientists translate complex data insights into actionable recommendations, ensuring that technical solutions align with regulatory standards and business objectives. This teamwork helps optimize decision-making and enhances the accuracy of risk evaluation.

What is the difference between Data Scientist Insurance vs Data Analyst Insurance?

AspectData Scientist InsuranceData Analyst Insurance
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related fields; often some programming skillsBachelor's in Statistics, Mathematics, or related fields; basic data analysis skills
Work EnvironmentDeveloping predictive models, advanced analytics, machine learning projectsData reporting, data cleaning, basic analysis, generating reports
Employer & Industry UsageInsurance companies, tech firms, consulting agenciesInsurance firms, financial institutions, marketing teams

Data Scientist Insurance roles focus on advanced analytics, machine learning, and predictive modeling, requiring stronger technical skills. Data Analyst Insurance positions involve data reporting, basic analysis, and supporting decision-making with less emphasis on complex modeling. Both roles are vital in the insurance industry but differ in technical depth and responsibilities.

What are popular job titles related to Data Scientist Insurance jobs in Madison, WI?

For Data Scientist Insurance jobs in Madison, WI, the most frequently searched job titles are:

What job categories do people searching Data Scientist Insurance jobs in Madison, WI look for?

The top searched job categories for Data Scientist Insurance jobs in Madison, WI are:

Data Scientist Insurance jobs near you
Infographic showing various Data Scientist Insurance job openings in Madison, WI as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 21% Part Time, and 5% Contract. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution, with an average salary of $123,675 per year, or $59.5 per hour.

Director of Data & AI Enablement

Mead & Hunt

Madison, WI • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 16 days ago

Mead & Hunt rating

7.6

Company rating: 7.6 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

284th of 451 rated engineering

Job description

We are excited to announce that we will be undergoing a selection process for the Director of Data & AI Enablement. This role is critical to advancing enterprise data capabilities, strengthening decision-making through trusted analytics, and leading the organization's responsible adoption of modern AI technologies.
At Mead & Hunt, we take pride in being a nationally recognized, employee-owned consulting firm where leaders have a direct impact on the success of our people, clients, and communities. We foster a collaborative, values-driven culture that emphasizes trust, innovation, and long-term relationships.
As the Director of Data & AI Enablement, you will play a key role in shaping the organization's data and analytics strategy, modernizing enterprise reporting, and enabling AI-driven insights that improve business performance. You will partner closely with Finance, IT, and Operations to deliver integrated data solutions that drive measurable outcomes and operational excellence.
You will lead the enterprise vision for Generative AI, Microsoft Copilot, and large language model (LLM)-enabled capabilities, ensuring innovation is balanced with strong data governance and ERP data integrity.
Responsibilities include:
  • Leads the enterprise data, analytics, and AI/Generative AI strategy, aligning capabilities to business priorities and measurable outcomes
  • Defines and executes enterprise AI enablement strategy, including use of Microsoft Copilot, LLMs, and automation to improve business performance
  • Owns enterprise reporting and analytics across ERP (Dynamics 365/aec360) and broader operational systems
  • Establishes and maintains scalable Power BI reporting and KPI frameworks to ensure consistent, trusted insights
  • Defines and matures a modern enterprise data platform (Microsoft Fabric/Azure) integrating ERP, operational, and system data
  • Establishes and enforces enterprise data governance, data quality, and stewardship practices across business and IT
  • Ensures AI solutions are built on trusted, governed ERP and enterprise data sources to protect data integrity
  • Enables AI and advanced analytics use cases, including predictive insights, AI-driven automation, and operational improvements
  • Drives adoption of Power Platform tools (Power Apps, Power Automate) for business and system workflow automation
  • Develops and leads cross-functional teams spanning data engineering, analytics, and enterprise applications
  • Partners with Finance, IT, and Operations leadership to prioritize and deliver high-value data initiatives
  • Establishes intake, prioritization, and delivery processes for data, reporting, and AI work
  • Monitors adoption, performance, and value delivery of enterprise data and analytics solutions
  • Other duties as assigned

This position may require travel, overnight stays, and occasional evening or weekend work as assigned.
Successful candidates will have all of the following:
  • Bachelor's degree in business, Computer Science, Information Systems, or a related field and ten (10+) years of progressive experience in Information Technology, including leadership roles
  • Proven experience leading enterprise data, analytics, and AI/digital transformation initiatives
  • Strong expertise in Power BI and enterprise reporting frameworks
  • Experience implementing data governance and data quality programs
  • Demonstrated ability to lead cross-functional initiatives across Finance, IT, and Operations
  • Hands-on experience building or leading modern data platforms (Microsoft Fabric, Azure, or similar)
  • Experience defining and executing enterprise AI strategy, including Generative AI, Copilot, or LLM-based solutions

Ideal candidates will have any/all of the following:
  • Background in AEC or project-based professional services environments with utilization, project profitability, and ERP-driven operations
  • Experience building or leading modern data platforms (Microsoft Fabric, Azure, or similar)
  • Background in professional services including engineering
  • Experience integrating multiple enterprise systems (ERP, operational, and system data)
  • Experience developing AI strategies or leading AI enablement initiatives
  • Experience leading ERP reporting modernization or transformation efforts

If you have strong communication and organizational skills, are self-motivated, and can work well both independently and as part of a team, complete the online application process for this job posting at www.meadhunt.com/careers.
Mead & Hunt proudly offers medical, dental, and vision insurance, paid time off, paid sick leave, parental leave, a 401K plan with a generous company match, life and disability insurance, and an employee assistance program.
Employment is contingent upon successful completion of applicable pre-employment screening requirements.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability.
#LI-KB1

What Mead & Hunt employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply