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Data Science Fall Internship Jobs in Wisconsin (NOW HIRING)

Foley & Lardner LLP

Data Science Engineer

Milwaukee, WI

$77.50K - $108.50K/yr

Provides guidance and best practice advice to data science interns * Bachelor's Degree required; Master's degree in Data Science, Computer Science, Software Engineering or similar related field of ...

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The Home Depot

Junior Data Scientist

Milwaukee, WI · Hybrid

$68K - $93K/yr

Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field * Hands-on experience with Python and/or R - coursework, projects, internships, or personal work all ...

Exactsciences

AI Intern - Co-op Fall 2026

Madison, WI

$35K - $56K/yr

The AI Intern will collaborate with data scientists, engineers, and cross-functional teams to ... This 6 month co-op internship offers an exceptional opportunity to gain hands-on experience in ...

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Data Science Fall Internship information

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$23

$43

How much do data science fall internship jobs pay per hour?

As of May 31, 2026, the average hourly pay for data science fall internship in Wisconsin is $23.50, according to ZipRecruiter salary data. Most workers in this role earn between $17.84 and $25.77 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Science Fall Intern, and why are they important?

To thrive as a Data Science Fall Intern, you generally need a solid foundation in statistics, programming (often Python or R), and data analysis, typically supported by coursework or experience in computer science, mathematics, or related fields. Familiarity with tools like pandas, scikit-learn, SQL, and data visualization libraries, as well as version control systems like Git, is highly valued. Strong problem-solving abilities, attention to detail, and effective communication skills help interns interpret data insights and collaborate with team members. These competencies are essential for producing actionable analyses and contributing meaningfully to data-driven projects in a short-term, fast-paced internship environment.

What types of projects can I expect to work on during a Data Science Fall Internship?

As a Data Science Fall Intern, you can expect to work on projects involving data cleaning, exploratory data analysis, and the development of predictive models using real-world datasets. Interns often collaborate with full-time data scientists and cross-functional teams to solve business problems, such as improving user engagement, optimizing processes, or generating actionable insights from large data sets. You may also participate in regular team meetings, present findings, and contribute to ongoing research or tool development. This hands-on experience helps you build both technical and communication skills within a dynamic and supportive environment.

What is a Data Science Fall Internship?

A Data Science Fall Internship is a temporary, structured work experience offered by organizations during the fall semester, designed for students or recent graduates interested in data science. Interns typically work on real-world projects involving data collection, analysis, machine learning, and visualization under the guidance of experienced data scientists. This internship provides hands-on experience, exposure to industry tools and techniques, and helps participants build valuable skills for future careers in data science. It also offers networking opportunities and a chance to explore potential career paths within the field.

What is the difference between Data Science Fall Internship vs Data Analyst Intern?

AspectData Science Fall InternshipData Analyst Intern
Required CredentialsEnrolled in or recent graduate of a related field (e.g., Data Science, Computer Science, Statistics)Enrolled in or recent graduate of a related field (e.g., Data Analysis, Business, Statistics)
Work EnvironmentTech companies, startups, research labs, often collaborative and project-basedBusiness firms, consulting agencies, often focused on reporting and data visualization
Employer & Industry UsageUsed by tech firms, finance, healthcare, and academia for entry-level talentCommon in corporate, marketing, and consulting sectors for supporting decision-making

The Data Science Fall Internship and Data Analyst Intern roles share similarities in required education and work environment but differ in focus. Data Science internships emphasize machine learning, programming, and statistical modeling, while Data Analyst internships focus more on data visualization, reporting, and business insights. Both are valuable entry points into data careers, often overlapping in skills but serving different industry needs.

What are popular job titles related to Data Science Fall Internship jobs in Wisconsin? For Data Science Fall Internship jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Data Science Fall Internship jobs in Wisconsin look for? The top searched job categories for Data Science Fall Internship jobs in Wisconsin are:
What cities in Wisconsin are hiring for Data Science Fall Internship jobs? Cities in Wisconsin with the most Data Science Fall Internship job openings:
Data Science Fall Internship jobs near you
Infographic showing various Data Science Fall Internship job openings in Wisconsin as of May 2026, with employment types broken down into 32% Internship, 47% Full Time, and 21% Part Time. Highlights an 68% In-person, 16% Hybrid, and 16% Remote job distribution, with an average salary of $48,887 per year, or $23.5 per hour.
Data Science Engineer

Data Science Engineer

Foley & Lardner LLP

Milwaukee, WI

$77.50K - $108.50K/yr

Full-time

Posted 2 days ago

Job description

Foley & Lardner LLP is a great place to work because of what we do and how we do it. Here, your unique perspectives, experiences, and abilities will be embraced and developed, so you can excel. Being a part of Foley means having the opportunities and resources necessary to gain experience, advance professional goals, and forge meaningful connections. It’s a place where you can build your career and enjoy professionally satisfying work. We have over 2,300 people who are #HappyatFoley, and we think you will be too. 

Foley & Lardner LLP is currently seeking a Data Science Engineer to join our Business Systems and Data Science team. The right candidate will be responsible for all aspects of selected data science (including Data Mining, AI, Machine Learning) related Technology initiatives for the firm, from proposal and requirements definition to project planning and implementation, working with both the requesting party and Technology team using a variety of tools. This position requires comprehensive knowledge of formal project skills and will provide a proactive interface between internal clients and the Technology team to ensure effective definition of a delivery of data science initiatives. 


  • Leads and drives the execution of data science projects including predictive modeling, natural language processing.
  • Applies mathematical, problem-solving, and coding skills to manage big data, extracting valuable insights.
  • Uses data mining or extracting tools to find usable data from valuable data sources.
  • Makes use of machine learning tools to select features, create and optimize data classifiers.
  • Performs preprocessing of structured and unstructured data.
  • Assists with Data taxonomy development and maintain our taxonomy for legal data (e.g., taxonomy clean up, SALI Taxonomy implementation). 
  • Collaborates with firm leadership to identify strategic goals related to data utilization and implement data strategy components in collaboration with Business Intelligence.
  • Collaborates with Knowledge Management, Business Intelligence and Competitive Intelligence to identify strategic goals related to legal team data utilization. 
  • Helps to develop strategies for best practices on data science projects
  • Sets and manages project milestones and dates
  • Performs other related duties as assigned 
  • Provides guidance and best practice advice to data science interns 

  • Bachelor's Degree required; Master’s degree in Data Science, Computer Science, Software Engineering or similar related field of study desirable
  • Minimum of 1 year of relevant technology experience required
  • Working knowledge of software development and scripting languages such as Python, C#, JavaScript, HTML
  • Ability to program un-assisted by LLMs if needed
  • Proficient with prompting and working with LLMs
  • Working knowledge with core Python packages used for machine learning such as Pandas, scikit-learn, PyTorch, MLflow, matplotlib, and numpy
  • Knowledge of developing applied AI applications with packages such as langchain or through custom LLM app pipelines
  • Basic understanding of developing within or integrating with cloud environments such as Azure or AWS
  • Office 365 application proficiency (Outlook, Word, Excel, PowerPoint and Teams) 
  • Experience with data analysis and reporting
  • Experience with Dev Ops
  • Knowledge of SQL and data mining tools 
  • Strong written and verbal communication and customer service skills, along with experience using advanced tools for effective communication 
  • Must be able to work independently and in a team environment to prioritize and perform multiple duties simultaneously while maintaining superior attention to detail, accuracy, and organization 

In support of transparency and equity in the workplace, Foley provides salary ranges for all positions. The figures below represent the full compensation range of this position. The actual offered amount will be between the range minimum and midpoint based on the following factors: education, experience, geographic market, and internal pay equity at Foley.
-Milwaukee - $77,500 to $108,500

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