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Internship Python R Jobs in Illinois (NOW HIRING)

Experience: 0-2 years of work experience, including internships. * Technical Skills: Proficiency in Excel is required; experience with MS SQL Server, R, Python, Stata, SAS, Tableau, Snowflake ...

Lead/mentor other Data Scientists, interns, and other technical work teams * Make strategic ... SAS, R, and/or Python Other Things We Look For: * Experience with cloud-based environments (e.g ...

Lead/mentor other Data Scientists, interns, and other technical work teams * Make strategic ... SAS, R, and/or Python Other Things We Look For: * Experience with cloud-based environments (e.g ...

Lead/mentor other Data Scientists, interns, and other technical work teams * Make strategic ... SAS, R, and/or Python Other Things We Look For: * Experience with cloud-based environments (e.g ...

Experience with data and statistical analysis in Excel, SQL, R, and/or Python * Completion of a prior actuarial internship or similar work experience * Successful completion of at least one Society ...

Experience with data and statistical analysis in Excel, SQL, R, and/or Python * Completion of a prior actuarial internship or similar work experience * Successful completion of at least one Society ...

Showing results 41-50

Internship Python R information

What is the difference between Internship Python R vs Data Analyst?

AspectInternship Python RData Analyst
Required SkillsBasic Python and R programming, data manipulationData analysis, SQL, visualization tools
Work EnvironmentInternship setting, entry-level projectsFull-time, corporate or research settings
CertificationsOptional, often includes online coursesOften requires or prefers certifications in data analysis or related fields

Internship Python R roles are entry-level positions focusing on learning and assisting with data projects using Python and R. Data Analyst roles are more advanced, involving comprehensive data analysis, reporting, and decision-making. Internships serve as a stepping stone toward full Data Analyst positions, which require more experience and skills.

What types of projects or tasks can I expect to work on during a Python/R internship?

As a Python/R intern, you’ll typically assist with data analysis, data cleaning, and visualization projects, often working alongside experienced data scientists or analysts. Many internships involve using Python or R to automate data processing, support research efforts, or build basic machine learning models. You may also contribute to documentation, testing code, and presenting findings to your team. This hands-on experience is designed to strengthen your programming skills and expose you to collaborative workflows common in data-driven environments.

What is an internship Python R?

Internship Python R positions are entry-level opportunities for students or recent graduates to gain practical experience working with Python and R programming languages. These internships typically involve tasks such as data analysis, scripting, software development, or research projects that utilize Python and R for statistical computing and data manipulation. Interns learn valuable skills in coding, problem-solving, and collaborating on real-world projects, often in fields like data science, finance, healthcare, or academia. They provide a stepping stone for building a career in technology or data-driven industries.

What are the key skills and qualifications needed to thrive as an internship Python R, and why are they important?

To thrive in a Python/R internship, you need foundational knowledge in programming with Python and R, basic statistics, and a relevant academic background in computer science, data science, or a related field. Familiarity with data analysis libraries (like pandas, NumPy, tidyverse), version control systems (such as Git), and data visualization tools is typically required. Strong problem-solving abilities, attention to detail, and the willingness to learn make candidates stand out. These skills are crucial for effectively contributing to data-driven projects and adapting to the learning-focused environment of an internship.
What are the most commonly searched types of Python R jobs in Illinois? The most popular types of Python R jobs in Illinois are:

Summer Research Assistant - Energy & Environment Lab (2026)

UChicago Energy & Environment Lab

Chicago, IL

Temporary

Re-posted yesterday


Job description

Job Title: Summer Research Assistant, Energy & Environment Lab 

Location:Chicago, IL 

Who We Are 

The University of Chicago Energy & Environment Lab (E&E Lab) partners with agencies at the local, state and federal level to identify, rigorously evaluate, and help scale programs and policies that reduce pollution and improve environmental outcomes, while ensuring access to reliable and affordable energy. The E&E Lab uses natural experiments, randomized controlled trials, behavioral economics, and machine learning to help policymakers identify and generate evidence around innovative approaches to their most pressing environmental and energy-related challenges. 

The E&E Lab is part of the University of Chicago's new Institute for Climate and Sustainable Growth. The Lab's mission is to partner with government agencies to identify and rigorously evaluate policies with the greatest potential to improve human lives at scale; the Lab's evidence-based approach gives policymakers and practitioners the knowledge they need to effectively achieve the greatest social good per dollar spent. 

Job Summary 

The E&E Lab is seeking Summer Research Assistants (RAs) with strong research, methodological, and programming skills to support large-scale environmental policy research projects. The RAs will work on a portfolio of economics projects, designed to evaluate the impact of promising energy and environmental interventions. Typical research projects involve the analysis of environmental and energy data, utilizing quasi-experimental and experimental methods to provide government partners with guidance on key policy questions. 

Responsibilities: 

  • Coding, review, and cleaning of data. 
  • Data analytics, statistical analysis, and building econometric and/or machine learning models. 
  • Project development and coordination. 
  • Literature reviews. 
  • Presentation of results of analysis (e.g., graphs and tables). 
  • Assisting in writing, formatting, and editing reports and works for publication and for dissemination to partners. 

Job Requirements 

Competencies: 

  • Interest in and aptitude for developing advanced programming and analytic skills. 
  • Experience with at least one statistical analysis language required; R, or Python strongly preferred. 
  • Strong verbal and written communication skills, with the ability to synthesize multiple sources. 
  • Strong initiative and a resourceful approach to problem-solving and learning. 
  • Ability to work both independently and as part of a team. 
  • High attention to detail and organizational skills. 
  • Knowledge of environment and/or energy policy issues preferred. 

Education: 

  • Significant progress towards an undergraduate or graduate degree in economics, computer science or related discipline. 
  • Coursework in economics, applied math, computer science, statistics. 
  • Research experience in an academic setting preferred. 

Documents Required

  • Resume 
  • Cover Letter 
  • Academic transcript(s) 

The internship duration is ten weeks, with a flexible start date. Applications will be reviewed as they are received, with decisions made on a rolling basis. Due to the high volume of applications, only shortlisted candidates will be contacted. 

The E&E Lab main office is in Chicago; some research staff are based in the offices of our federal and state government partners. 

To apply, please complete the form and upload your resume, cover letter, and transcript below. Questions and inquiries about the summer position should be directed to eelabhiring@uchicago.edu. 

All applicants must be authorized to work in the United States. 

The University of Chicago is an Affirmative Action/Equal Opportunity/Disabled/Veterans Employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national or ethnic origin, age, status as an individual with a disability, protected veteran status, genetic information, or other protected classes under the law. For additional information please see the University's Notice of Nondiscrimination. 

Staff 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. 

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.