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Data Science Intern Jobs in Wisconsin (NOW HIRING)

3M HEALTHCARE

WI · On-site

$140 - $190/hr

Collaborates with senior leadership to define data science strategies and objectives. * Prioritizes projects and allocates resources effectively to meet organizational goals. * Monitors project ...

Doist

Data Scientist - Market Research

Madison, WI · On-site

$110 - $150/hr

Familiarity with modern data science practices, including model building, experimentation, and validation.* Experience collaborating across teams (investment, product, engineering, data science)

Vantage Oleochemicals, Inc

WI · On-site

$123.68 - $164.87/hr

Collaborate with peers outside the data science team to align data science initiatives with business goals. * Continuously evaluate and improve model performance through testing, tuning, and ...

American Heart Association

$23/hr

Data Science * IT * And more! As an intern, you'll gain hands-on experience while contributing to a cause that impacts lives nationwide. Your internship includes: * Salary of $23/hour * Professional ...

American Heart Association

$23/hr

Data Science * IT * And more! As an intern, you'll gain hands-on experience while contributing to a cause that impacts lives nationwide. Your internship includes: * Salary of $23/hour * Professional ...

American Heart Association

$23/hr

Data Science * IT * And more! As an intern, you'll gain hands-on experience while contributing to a cause that impacts lives nationwide. Your internship includes: * Salary of $23/hour * Professional ...

American Heart Association

$23/hr

Data Science * IT * And more! As an intern, you'll gain hands-on experience while contributing to a cause that impacts lives nationwide. Your internship includes: * Salary of $23/hour * Professional ...

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Data Science Intern information

See Wisconsin salary details

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How much do data science intern jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for data science intern in Wisconsin is $22.71, according to ZipRecruiter salary data. Most workers in this role earn between $17.45 and $24.76 per hour, depending on experience, location, and employer.

What does a data science intern do?

A Data Science Intern typically assists with collecting, cleaning, and analyzing data to support business decisions or research. They work under the supervision of experienced data scientists, helping to build and test predictive models, create data visualizations, and present findings. Interns often use programming languages such as Python or R, and tools like SQL, to manipulate data. The role is designed to provide hands-on experience with real-world data science projects and help interns develop technical and analytical skills.

What types of projects can I expect to work on as a data science intern, and how will I collaborate with other team members?

As a Data Science Intern, you can expect to work on a variety of projects such as data cleaning, exploratory data analysis, building predictive models, or assisting with data visualization tasks. You'll often collaborate closely with data scientists, engineers, and sometimes business analysts, participating in team meetings and brainstorming sessions. Interns are usually given clearly defined tasks that contribute to larger projects, allowing you to learn from experienced professionals while making a meaningful impact. Regular check-ins and mentorship are typical, providing you with feedback and professional growth opportunities throughout your internship.

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

To thrive as a Data Science Intern, you need a solid grasp of statistics, data analysis, and programming (often in Python or R), typically supported by coursework in computer science, mathematics, or a related field. Familiarity with data visualization tools (like Tableau), machine learning libraries (such as scikit-learn or TensorFlow), and version control systems (like Git) is commonly expected. Strong problem-solving abilities, communication skills, and a willingness to learn help interns collaborate effectively and translate data insights for diverse audiences. These skills and qualities ensure that interns can contribute meaningfully to projects, adapt quickly, and bridge the gap between raw data and actionable business solutions.

Can I get an internship in data science?

Yes, data science internships are available for students and recent graduates interested in gaining practical experience with skills like programming, statistics, and data analysis using tools such as Python or R. Applicants typically need a background in related fields and may be required to complete technical assessments or projects during the application process.

What are the most commonly searched types of Data Science jobs in Wisconsin?

The most popular types of Data Science jobs in Wisconsin are:

What are popular job titles related to Data Science Intern jobs in Wisconsin?

For Data Science Intern jobs in Wisconsin, the most frequently searched job titles are:

What job categories do people searching Data Science Intern jobs in Wisconsin look for?

The top searched job categories for Data Science Intern jobs in Wisconsin are:

What cities in Wisconsin are hiring for Data Science Intern jobs?

Cities in Wisconsin with the most Data Science Intern job openings:

Data Science Intern jobs near you
Infographic showing various Data Science Intern job openings in Wisconsin as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $47,247 per year, or $22.7 per hour.

Data Scientist

State of Wisconsin Investment Board

Madison, WI • On-site

Full-time

Re-posted 22 days ago

Job description

Sophisticated Work. In a Great City. Making a Difference.
The State of Wisconsin Investment Board (SWIB) manages more than $178 billion in assets, including those of the fully-funded Wisconsin Retirement System (WRS). SWIB operates at a level more often seen in top-tier global asset managers than in typical public pension funds. SWIB is a home for top talent. Approximately 61 percent of SWIB's investment professionals are Chartered Financial Analyst (CFA) charterholders.
The City of Madison, the state capitol and home of Wisconsin's flagship university, makes regular appearances on lists of best places to live, eat, and play. SWIB offers a modern workspace, hybrid work options, and competitive compensation and benefits.
Serving over 703,000 WRS beneficiaries, SWIB is driven by a clear mission: securing the financial future of those who serve Wisconsin. When you work at SWIB, you know your work matters.
Job Description:
About the Team
Data Services & Engineering Teams at SWIB supports, implements & develops industry-leading systems and platforms to support SWIB's diverse and complex set of investment portfolios and strategies. The team at SWIB strives to be a trusted advisor and partner to the business that is valued as a critical contributor to SWIB's continued growth and success. We effectively leverage technology to derive the maximum value from it and achieve SWIB's business goals. We keep technology aligned with SWIB's future direction and operate SWIB's technology according to industry standards.
Position Overview
Essential activities:
  • Lead the design, development, validation, and deployment of advanced analytics, AI, and machine learning solutions that enable data-driven investment decision-making.
  • Own the technical approach for analytics products end-to-end: problem framing, data requirements, modeling, evaluation, deployment, monitoring, and ongoing iteration.
  • Architect and deploy solutions using GitLab (merge requests, CI/CD pipelines, automated testing, release management) and Terraform (infrastructure as code), establishing strong engineering practices and reproducibility.
  • Design, evaluate, and deploy AI-enabled analytical solutions measuring output quality, detecting hallucinations, and ensuring reliability for decision-making.
  • Implement data quality, validation, and AI evaluation frameworks; define reliability metrics, testing protocols, and monitoring controls ensuring outputs are accurate, traceable, and explainable.
  • Design and develop analytics applications and internal tools, including lightweight front-end interfaces (Power BI, Streamlit, React, or similar tools) to communicate findings and drive adoption; apply UI/UX principles ensuring usability, clarity, and intuitive workflows; craft clear narratives about assumptions, limitations, and implications.
  • Deploy analytics solutions in cloud environments (Azure or AWS), partnering with engineering/security to ensure secure, scalable, cost-aware deployments.
  • Utilize data warehousing technologies (e.g., Snowflake) to support analytics initiatives; collaborate on data modeling and performant query patterns.
  • Communicate complex concepts clearly to technical and non-technical stakeholders; translate investment needs into analytical roadmaps and measurable outcomes.
  • Serve as a liaison across investment teams and partner functions (IT, Operations, Legal, HR, Strategic Planning, etc.) to support change management and adoption of analytics solutions.
  • Act as a senior team contributor: provide design input, conduct code and analysis reviews, share patterns and best practices, and coach junior staff through pairing, feedback, and knowledge sharing.

The ideal candidate:
  • Bachelor's degree required; advanced degree preferred in finance, business, engineering, computer science, computational economics, math, data science, or related discipline.
  • Experience in investment management, quantitative finance, and technology; progress toward or completion of the CFA designation is preferred.
  • 5+ years of experience in data science, analytics, quantitative research, or similar roles.
  • 2+ years of experience designing and deploying AI-enabled analytical solutions measuring output quality, detecting hallucinations, and ensuring reliability for decision-making.
  • Strong proficiency in Python and SQL for advanced analytics, data engineering, and model development in production contexts.
  • Proven experience deploying and operating production code using GitLab, including CI/CD, merge request workflows, automated testing, and release management.
  • Experience using Terraform to provision and manage cloud infrastructure as code.
  • Experience building and deploying ML models using modern techniques (regression, classification, clustering, time series/forecasting) with strong evaluation practices and sound statistical reasoning.
  • Experience implementing data quality frameworks, validation controls, and reliability metrics/processes for analytical outputs and reports.
  • Strong experience with cloud platforms (Azure or AWS) for data storage/processing and deploying analytics solutions; familiarity with security and operational considerations.
  • Experience with data warehousing platforms (e.g., Snowflake) to support scalable analytics initiatives.
  • Excellent communication skills with the ability to influence decisions through clear storytelling and stakeholder partnership.
  • Demonstrated ability to collaborate effectively, coach junior staff, and elevate team standards through reviews, reusable patterns, and documentation.
  • Strong work ethic, attention to detail, and commitment to disciplined delivery (documentation, Jira ticketing, and best practices).

SWIB Offers:
  • Competitive total cash compensation, based on AON (formerly McLagan) industry benchmarks
  • Comprehensive benefits package
  • Educational and training opportunities
  • Tuition reimbursement
  • Challenging work in a professional environment
  • Hybrid work environment

The position requires U.S. work authorization.
Pursuant to our Hybrid Remote Work Policy, all staff have the flexibility to work remotely, but are required to have a weekly presence in our offices, the frequency of which is dependent on their distance from office. Staff are not required to reside locally; however, we offer relocation reimbursement to the Dane County area per our policy.
All SWIB employees are subject to SWIB's Ethics Policy and Personal Trade Approvals Policy. These policies include restrictions on outside business activities and employment and have limits on personal trading. You may request copies of these policies from SWIB's talent acquisition team and any questions can be answered by SWIB's compliance team.

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