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Data Science Fall Internship Jobs in Wisconsin (NOW HIRING)

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Digital & Data Innovation Co-op

Madison, WI

Pursuing a degree in Statistics, Data Science, Management Information Systems, Computer Science ... coop, internship, or personal projects). * Strong ability to independently coordinate and ...

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

As of Jun 1, 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.
Cybersecurity Intern - Co-op Fall 2026

Cybersecurity Intern - Co-op Fall 2026

Exact Sciences

Madison, WI • On-site

$36K - $57K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 19 days ago

Exact Sciences rating

8.5

Company rating: 8.5 out of 10

Based on 54 frontline employees who took The Breakroom Quiz

19th of 103 rated laboratories

Job description

Help us change lives
At Exact Sciences, we're helping change how the world prevents, detects and guides treatment for cancer. We give patients and clinicians the clarity needed to make confident decisions when they matter most. Join our team to find a purpose-driven career, an inclusive culture, and robust benefits to support your life while you're working to help others.
Exact Sciences is seeking a Cybersecurity Co-op program participant to support our efforts in developing and applying artificial intelligence technologies to drive innovation and efficiency for cybersecurity across the organization. The Cybersecurity Intern will collaborate with data scientists, engineers, and cross-functional teams to research, prototype, and implement AI solutions-including machine learning (ML), deep learning (DL), and generative AI models-that enhance decision-making and business processes for Cybersecurity.
This opportunity offers the ability to gain hands-on experience in applied AI development and Cybersecurity processes within the biotech industry and to contribute to projects that have a meaningful impact on patient outcomes and healthcare advancement.
Essential Duties
Include, but are not limited to, the following:
  • Assist in the development, training, and evaluation of AI and machine learning models, including natural language processing (NLP), computer vision, and generative AI applications.
  • Support the integration of AI models into production environments, including data pipelines and APIs.
  • Conduct data analysis, cleaning, and preparation to support model development and evaluation.
  • Participate in AI research and literature review, identifying emerging techniques applicable to Exact Sciences' initiatives.
  • Visualize data and model outputs, communicating insights to both technical and non-technical audiences.
  • Collaborate in Agile development cycles, contributing to iterative improvement of AI-driven products.
  • Document methodologies, experiments, and results to ensure reproducibility and transparency.
  • Uphold company mission and values through accountability, innovation, integrity, quality, and teamwork.
  • Support and comply with the company's Quality Management System (QMS) policies and procedures.
  • Maintain regular and reliable attendance.
  • Demonstrate an inclusion mindset and model these behaviors across the organization.
  • Ability to work designated schedule.

Minimum Qualifications
  • Current student enrolled toward a Bachelor's degree in Computer Science, Engineering, Data Science, Mathematics, or a related field.
  • Demonstrated proficiency in Python and familiarity with AI frameworks such as TensorFlow, PyTorch, or scikit-learn.
  • Understanding of machine learning fundamentals, including supervised and unsupervised learning.
  • Strong analytical and problem-solving skills.
  • Legal authorization to work in the country of employment without current or future sponsorship.

Preferred Qualifications
  • Current student enrolled toward a Master's degree in Computer Science, Artificial Intelligence, Data Science, Cybersecurity or related field.
  • Experience with natural language processing (NLP), computer vision, or generative AI (e.g., large language models, diffusion models).
  • Working knowledge of SQL and data engineering tools (e.g., Spark, Pandas).
  • Experience with cloud platforms (AWS, GCP, or Azure) and version control tools (Git).
  • Familiarity with MLOps concepts, model evaluation metrics, and responsible AI principles.
#LI-KL1
Salary Range:
$36,000.00 - $57,000.00
The annual base salary shown is for this position located in US - WI - Madison on a full-time basis.
Exact Sciences is proud to offer an employee experience that includes paid time off (including days for vacation, holidays, volunteering, and personal time), paid leave for parents and caregivers, a retirement savings plan, wellness support, and health benefits including medical, prescription drug, dental, and vision coverage. Learn more about our benefits.
Our success relies on the experiences and perspectives of a diverse team, and Exact Sciences fosters a culture where all employees can develop personally and professionally with a sense of respect and belonging. If you require an accommodation, please contact us here.
Not ready to apply? Join our Talent Community to stay updated on the latest news and opportunities at Exact Sciences.
We are an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to disability, protected veteran status, and any other status protected by applicable local, state, or federal law.
To view the Right to Work, E-Verify Employer, and Pay Transparency notices and Federal, Federal Contractor, and State employment law posters, visit our compliance hub. The documents summarize important details of the law and provide key points that you have a right to know.

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