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Data Science Fall Internship Jobs in Wisconsin (NOW HIRING)

$16.75 - $21.25/hr

... fall semester. "If you want to stand out from the crowd, give people a reason not to forget you." - Richard Branson. * We are currently looking for interns with a positive attitude and a desire to ...

$16.75 - $21.25/hr

... fall semester. "If you want to stand out from the crowd, give people a reason not to forget you." - Richard Branson. * We are currently looking for interns with a positive attitude and a desire to ...

$16.75 - $21.25/hr

... fall semester. "If you want to stand out from the crowd, give people a reason not to forget you." - Richard Branson. * We are currently looking for interns with a positive attitude and a desire to ...

$17.25 - $21.75/hr

... fall semester. "If you want to stand out from the crowd, give people a reason not to forget you." - Richard Branson. * We are currently looking for interns with a positive attitude and a desire to ...

$16 - $20.25/hr

... fall semester. "If you want to stand out from the crowd, give people a reason not to forget you." - Richard Branson. * We are currently looking for interns with a positive attitude and a desire to ...

$16.50 - $21/hr

... fall semester. "If you want to stand out from the crowd, give people a reason not to forget you." - Richard Branson. * We are currently looking for interns with a positive attitude and a desire to ...

$16.50 - $21/hr

... fall semester. "If you want to stand out from the crowd, give people a reason not to forget you." - Richard Branson. * We are currently looking for interns with a positive attitude and a desire to ...

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Data Science Fall Internship information

See Wisconsin salary details

$10

$23

$43

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

As of Aug 2, 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 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 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 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 cities in Wisconsin are hiring for Data Science Fall Internship jobs? Cities in Wisconsin with the most Data Science Fall Internship job openings:
Infographic showing various Data Science Fall Internship job openings in Wisconsin as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 13% Part Time, 1% Temporary, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $48,887 per year, or $23.5 per hour.

Intern - Actuarial Services/Data Science

SECURA Insurance

Neenah, WI • On-site

Part-time

Posted 5 days ago


Job description

DESCRIPTION:
This position is a 3-month internship for summer 2027. The Actuarial/Data Science Intern will work closely with SECURA's actuarial team to complete work products supporting rate reviews, competitive analyses, modeling, and business reports tailored to meet the needs of our internal customers. This experience will afford the Actuarial/Data Science Intern opportunities to receive valuable Actuarial/Data Science training, gain professional experience in a business setting, and learn first-hand about the role Actuarial Science and Data Science play in the property and casualty insurance industry. This position will be an in-office role located in Neenah, WI.
RESPONSIBILITIES:
  • Assist in preparing support data used in the rate review process for commercial, specialty, agribusiness and farm lines
  • Apply current ratemaking methodologies to develop rate indications
  • Assist in conducting strategic research and peer company analyses using a variety of sources and tools
  • Assist in preparing and analyzing actuarial data on a monthly & quarterly basis, while learning how to identify and communicate key observations and trends
  • Participate in various projects, including analysis supporting business units (commercial, specialty, agribusiness, and farm), planning, reserving, claims, marketing, reinsurance, modeling, etc.
  • Other duties as assigned

QUALIFICATIONS:
ESSENTIAL:
  • Actively pursuing bachelor's degree in actuarial science, Data Science, or other related field
  • Advanced data analysis skills including the ability to operate & design complex Excel spreadsheets
  • Proficient in Word and PowerPoint
  • Efficient, detail-oriented, and service-oriented
  • The ability to simultaneously be focused and flexible, while working successfully both collaboratively and independently
  • Ability to effectively use automation tools to improve the timeliness, accuracy and content of reports, or to support actuarial research
  • Coding experience in Python is a plus, but not required

At SECURA, we are transforming the insurance experience by putting authenticity at the forefront of everything we do. Our mission is clear: we're making insurance genuine. We recognize that our associates are our greatest assets, and we invest in their well-being and professional growth. We offer opportunities for continuous learning and career advancement, competitive benefits, and a culture that champions work-life balance. Joining SECURA means becoming part of a dynamic team that values each individual's contribution and fosters a collaborative atmosphere. Here, you'll not only find a fulfilling career but also a place where you can make a positive impact every day.
SECURA Insurance strives to provide equal opportunity for all employees and is committed to fostering an inclusive work environment. We welcome applicants from all backgrounds and walks of life.
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.