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Intern Data Science Insurance Jobs in Horicon, WI

Grande

Corporate Lab Intern

Fond Du Lac, WI · On-site

Exposure to statistical applications and interpretation of laboratory data. * Previous laboratory, science, or quality-related experience through coursework, internships, or employment. * Experience ...

Grande

Food Safety & Quality Intern

Brownsville, WI · On-site

$17.50 - $23.75/hr

... data collection, and results analysis. This internship provides a unique opportunity to see how ... Student in Junior or Senior status pursuing a bachelor's degree in Food Science or Quality ...

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All JobsIntern Data Science Insurance JobsIntern Data Science Insurance Jobs in Horicon, WI

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See Horicon, WI salary details

$12

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How much do intern data science insurance jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for intern data science insurance in Horicon, WI is $23.86, according to ZipRecruiter salary data. Most workers in this role earn between $18.37 and $26.01 per hour, depending on experience, location, and employer.

What does an intern data science insurance do?

An Intern Data Science Insurance assists data scientists and analysts in the insurance industry by collecting, cleaning, and analyzing data to help solve business problems. Their tasks often include working with large datasets, building predictive models, and creating visualizations to support risk assessment, fraud detection, and pricing strategies. They also collaborate with other departments to understand insurance processes and contribute to the development of data-driven solutions. This role offers hands-on experience with industry tools and methodologies, preparing interns for a career in data science within the insurance sector.

What types of projects can an intern data science expect to work on within the insurance industry?

As a Data Science Intern in the insurance sector, you can expect to work on projects such as analyzing customer data to identify risk factors, developing predictive models for claims, or assisting in the automation of underwriting processes. These projects often involve collaboration with actuarial, underwriting, and IT teams, providing interns with exposure to different facets of the business. You'll likely use tools like Python, R, and SQL while working with real datasets, and your contributions may directly impact decision-making and operational efficiency. This hands-on experience is valuable for understanding the practical applications of data science in a highly regulated and data-driven industry.

What are the key skills and qualifications needed to thrive as an intern data science insurance, and why are they important?

To thrive as an Intern Data Science in Insurance, you need foundational knowledge in statistics, data analysis, and programming (often with Python or R), typically supported by coursework in data science or related fields. Familiarity with data visualization tools (such as Tableau or Power BI), SQL databases, and machine learning libraries is often expected. Strong analytical thinking, attention to detail, and effective communication help you interpret data insights and collaborate with cross-functional teams. These skills are crucial for extracting actionable insights from complex insurance data and supporting data-driven decision-making within the industry.

What cities near Horicon, WI are hiring for Intern Data Science Insurance jobs?

Cities near Horicon, WI with the most Intern Data Science Insurance job openings:

Intern Data Science Insurance jobs near you
Infographic showing various Intern Data Science Insurance job openings in Horicon, 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 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $49,633 per year, or $23.9 per hour.

Staff Data & AI Governance Manager

Michels Corporation

Brownsville, WI • On-site

Full-time

Medical, Dental, Life, Retirement

Posted 10 days ago

Key responsibilities

  • Build and operationalize Michels' data and AI governance framework, including policies, standards, roles, decision rights, and operating processes.

  • Establish foundational data governance across ownership, stewardship, quality, metadata, lineage, classification, and retention.

  • Create practical AI governance processes for use-case intake, risk classification, responsible AI review, vendor and embedded AI oversight, and monitoring.

Job description

Improving America's infrastructure isn't for the weak. It takes grit, determination, and hard work to execute high impact projects. Michels Corporation engages 10,000 people and 18,000 pieces of heavy equipment in our insatiable drive to be the best. Our work improves lives. Find out how a career as an Staff Data & AI Governance Manager can change yours.
The Staff Data & AI Governance Manager will help build Michels' enterprise governance function from the ground up. As a founding member of the Enterprise Intelligence team, this role will shape the policies, standards, operating routines, and accountability model that make data trusted, discoverable, and usable across the business. The role will also establish practical, risk-based governance for AI so Michels can move quickly on experimentation while applying stronger oversight where use cases require durability, transparency, or compliance. This role starts hands-on, laying the groundwork that lets Michels move with speed and confidence, with a clear path to build and lead the governance team as the function matures.
Why Michels?
  • We are consistently ranked among the top 10% of Engineering News-Record's Top 400 Contractors
  • Our steady, strategic growth revolves around a commitment to quality
  • We are family owned and operated
  • We invest an average of $5,000 per employee on training each year
  • We reward hard work and dedication with limitless opportunities
  • We believe it is everyone's responsibility to promote safety, regardless of job titles.
  • We offer a comprehensive benefits program including (depending on your positions and location you may participate in a different benefit plan):
    • Health, Dental, Life, Flexible Spending Accounts, Health Savings Account, Short Term and Long-Term Disability Insurance, 401(k) plan, Legal Plan, and Identity Theft and Monitoring Plan

Why you?
  • You thrive in fast-paced environments under tight deadlines
  • You enjoy collaborating and communicating with your teammates
  • You like to know your efforts are noticed and appreciated
  • You have strong time management, verbal, and written communication skills

Key Responsibilities:
  • Build and operationalize Michels' data and AI governance framework: policies, standards, roles, decision rights, and operating processes.
  • Establish foundational data governance across ownership, stewardship, quality, metadata, lineage, classification, and retention.
  • Partner with business, operations, and IT teams to build shared ownership of governance across data and AI work.
  • Create practical AI governance for use-case intake, risk classification, responsible AI review, vendor and embedded AI oversight, and monitoring.
  • Facilitate the governance forums, stewardship routines, and cross-functional decisions that clarify accountability and make governance actionable.
  • Develop metrics and reporting that give leadership visibility into data quality, governance maturity, AI adoption, and emerging risks.
  • Grow the function over time, evolving from hands-on builder into the leader of future governance capabilities, communities, and team.

Qualifications:
  • Bachelor's degree in Computer Science, Information Systems, Business Administration, or a related quantitative field, or equivalent practical experience.
  • 7+ years of experience in data governance, data management, technology risk, or a related discipline at enterprise scale.
  • Strong command of core governance disciplines, with demonstrated ability to build and mature governance programs.
  • Familiarity with modern data platforms and governance tooling such as Microsoft Fabric, Databricks, Snowflake, Collibra, Alation, Atlan, or similar technologies.
  • Working knowledge of generative and agentic AI, responsible AI, and risk-based AI governance.
  • Strong communication and stakeholder skills, with the ability to influence without authority, facilitate cross-functional decisions, and explain governance and risk concepts to technical, business, and executive audiences.

AA/EOE/M/W/Vet/Disability
https://www.michels.us/website-user-privacy-policy/

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