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Data Science Fall Internship Jobs in Chicago, IL

Own data science requirements and tracking, working to identify strategies and opportunities to ... interns on a project basis, as needed. * Participate in interviewing and evaluation of new talent ...

Help drive our data science culture and strategy. Qualifications Desirable Skills and Experience: * Must have at least 3 years of professional experience outside of academic or internship settings.

Help drive our data science culture and strategy. Qualifications Desirable Skills and Experience: * Must have at least 3 years of professional experience outside of academic or internship settings.

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Data Science Fall Internship information

See Chicago, IL salary details

$12

$23

$43

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

As of Jul 27, 2026, the average hourly pay for data science fall internship in Chicago, IL is $23.18, according to ZipRecruiter salary data. Most workers in this role earn between $17.84 and $25.24 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 cities near Chicago, IL are hiring for Data Science Fall Internship jobs? Cities near Chicago, IL with the most Data Science Fall Internship job openings:
Infographic showing various Data Science Fall Internship job openings in Chicago, IL as of July 2026, with employment types broken down into 11% Internship, 58% Full Time, 22% Part Time, 7% Temporary, and 2% Contract. Highlights an 86% In-person, 7% Hybrid, and 7% Remote job distribution, with an average salary of $48,220 per year, or $23.2 per hour.
Fall Internship - Data Analytics (Remote)

Fall Internship - Data Analytics (Remote)

Sourcebooks

Naperville, IL โ€ข On-site

Other

Posted 6 days ago


Job description

Join Sourcebooks, the fastest growing publisher in the U.S., where creativity, innovation, and storytelling collide. This isn't a coffee-run internship โ€” you'll contribute to real projects, collaborate with publishing professionals, and see how your work impacts readers everywhere. What you study doesn't matter: we're looking for your curiosity, your drive to learn, and your interest in books.
Program Details
  • Program Dates: September 14 โ€“ November 21, 2026
  • Schedule: 21 hours/week throughout the program
  • Compensation: Paid, $17/hour ($20/hour for interns based in CT, MA, MD, NJ, NY, PA, VA, or Washington D.C.)
  • Application Deadline: August 1, 2026 โ€” apply soon!

About the Role: Data & Analytics
The Sourcebooks Data Team is looking for a curious, detail-oriented student to support our work turning publishing data into insight. Projects vary by season, so you'll pitch in wherever the team's priorities land in the fall โ€” this could include reporting, analysis, dashboarding, or data infrastructure work, depending on what's on our plate.
Duties include (but not limited to):
  • Assist with building and maintaining reports and dashboards used across the company
  • Help analyze sales, marketing, and title performance data to support business decisions
  • Support data cleaning, organization, and documentation efforts
  • Contribute to special projects and ad hoc analysis as priorities come up throughout the fall
  • Collaborate with team members across departments to understand data needs and deliver useful, accurate answers
  • Provide general administrative support as needed
What we're looking for:
  • Interest and/or coursework in business analysis, data analytics, data science, or data engineering
  • Strong analytical and problem-solving skills
  • Comfort working with spreadsheets and data tools; experience with SQL, Python, or Power BI is a plus but not required
  • Strong attention to detail and organizational skills
  • Curious, proactive attitude and comfort with ambiguity as priorities shift
  • A genuine interest in books and publishing
Eligibility & Requirements
  • Must be a current college student (sophomore, junior, senior) or recent graduate
  • Able to commit to 21 hours/week for the full program duration (9/14 โ€“ 11/21/26)
  • Must reside in one of the following states for the duration of the internship:ย ย Arizona, Connecticut, Illinois, Louisiana, Massachusetts, Maryland, Michigan, Minnesota, New Jersey, New York, Oregon, Pennsylvania, Tennessee, Texas, Virginia, Washington D.C., and Wisconsin.

Your Cover Letter Matters โ€” A Lot!
We want to know why you want to intern at Sourcebooks. Your cover letter is your chance to tell us:
  • Why publishing โ€” and why Sourcebooks โ€” what excites you
  • What you hope to learn and contribute
  • How your creativity, curiosity, or love of books shines through

Applications without a cover letter won't be considered, so take the time to tell your story!
Why Intern With Sourcebooks: Hands-on experience on real projects, exposure to the full publishing process, panels and networking events, and a mentorship program โ€” all at one of the fastest-growing publishers in the country.
  • Named #2 Most Loved Workplace by Newsweek (2024)ย 
  • Recognized by Fast Company as one of the Most Innovative Companies (2024)ย 
  • Over 300 million lives changed through books โ€” and countingย 
  • A culture built on creativity, innovation, and impactย 

Sourcebooks values the array of talents and perspectives that a diverse workforce brings. All qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status.ย 


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