Temporary Data Science Intern
Company: University of Chicago
Location: Chicago
Posted on: April 1, 2026
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Job Description:
Department UL Crime Ed Lab Interns and Temporary Staff About the
Department In cities across the country, people face high rates of
gun violence, under-resourced schools, and social harms associated
with the criminal justice system – all of which disproportionately
impact people of color. These inequalities have profound
consequences on public safety and opportunity. As a society we have
failed to address these challenges, in part, because of our lack of
understanding of the most effective and cost-effective solutions
that can have a real impact on people’s lives. We believe that
rigorous research can help. The University of Chicago Crime Lab and
Education Lab partner with cities and communities to use data and
rigorous research to design, test, and scale programs and policies
that enhance public safety, improve educational outcomes, and
advance justice. Our mission is to combine world-class data science
and research, in partnership with government agencies, to
substantially improve the effectiveness of the public sector and
achieve impact at scale. For more information about our work, visit
the Crime Lab and Education Lab websites. Job Information Job
Summary: The data science summer internship is a great opportunity
to gain a deeper understanding of what it takes to process data and
build and evaluate predictive models. This position will be
full-time for approximately 37.5 hours per week for 10-12 weeks.
Responsibilities: Collect and organize different datasets. Derive
summary statistics of those datasets. Help with the implementation
of machine learning models. Conduct literature reviews of relevant
policy and research topics. Prepare and deliver an
end-of-internship presentation. Competencies: Interest in and
aptitude for developing programming and analytic skills. Excellent
verbal and written communication skills. Strong initiative and a
resourceful approach to problem-solving and learning. Ability to
work independently and as part of a team. Strong attention to
detail and organizational skills. Sound critical thinking skills.
Interest in research and relevant policy areas. Additional
Responsibilities Education, Experience, or Certifications:
Education: High school diploma or GED required. Significant
progress towards a degree in a technical discipline (e.g. data
science, statistics, or computer science) or a social science
discipline (e.g. economics, public policy, or sociology preferred.
Technical Knowledge or Skills: Coursework in data science, machine
learning, statistics, applied math, or a related field.
Intermediate statistical data analysis skills, including experience
in the fundamentals of machine learning, with the ability to use
Python or R. Experience working with messy, real-world data sets.
Experience working with text, images, or other non-tabular data
formats. Pay Range: $17.00 - $22.00 Required Documents: Resume
Cover letter Coding sample (Python or R). Please submit a Word or
PDF document that includes your coding sample along with a brief
description. Jupyter Notebook, RMarkdown, raw scripts (.py/.R), or
a GitHub link or files will also be accepted. When applying, the
document(s) MUST be uploaded via the My Experience page, in the
section titled Application Documents of the application. Job Family
Temporary Staff Scheduled Weekly Hours 37.5 Drug Test Required No
Health Screen Required No Motor Vehicle Record Inquiry Required No
Pay Frequency Hourly Pay Rate Type Hourly ? FLSA Status Non-Exempt
? Pay Range $17.00 - $22.00 The included pay rate or range
represents the University’s good faith estimate of the possible
compensation offer for this role at the time of posting. Benefits
Eligible This position is not eligible for benefits. Posting
Statement The University of Chicago is an equal employer and does
not discriminate on the basis of race, color, religion, sex, sexual
orientation, gender, gender identity, or expression, national or
ethnic origin, shared ancestry, age, status as an individual with a
disability, military or veteran status, genetic information, or
other protected classes under the law. For additional information
please see the University's Notice of Nondiscrimination. Job
seekers in need of a reasonable accommodation to complete the
application process should call 773-702-5800 or submit a request
via Applicant Inquiry Form. All offers of employment are contingent
upon a background check that includes a review of conviction
history. A conviction does not automatically preclude University
employment. Rather, the University considers conviction information
on a case-by-case basis and assesses the nature of the offense, the
circumstances surrounding it, the proximity in time of the
conviction, and its relevance to the position. The University of
Chicago's Annual Security & Fire Safety Report (Report) provides
information about University offices and programs that provide
safety support, crime and fire statistics, emergency response and
communications plans, and other policies and information. The
Report can be accessed online at:
http://securityreport.uchicago.edu . Paper copies of the Report are
available, upon request, from the University of Chicago Police
Department, 850 E. 61st Street, Chicago, IL 60637.
Keywords: University of Chicago, Skokie , Temporary Data Science Intern, Science, Research & Development , Chicago, Illinois
