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Python Intern information
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What are the key skills and qualifications needed to thrive as a Python Intern, and why are they important?
What types of projects can a Python Intern expect to work on during their internship?
What does a Python Intern do?
What is the difference between Python Intern vs Python Developer?
| Aspect | Python Intern | Python Developer |
|---|---|---|
| Required Credentials | Typically pursuing or recently completed a degree in computer science or related field | Proven experience, often with a degree or equivalent in computer science or related field |
| Work Environment | Internship programs, entry-level projects, supervised tasks | Full-time roles, independent project work, team collaboration |
| Employer & Industry Usage | Tech companies, startups, educational institutions | Tech firms, software companies, enterprise environments |
| Common Search & Comparison | Entry-level, learning, internship opportunities | Professional, full-time employment, career growth |
The main difference between a Python Intern and a Python Developer lies in experience and responsibilities. Interns are usually students or recent graduates gaining initial exposure, working under supervision. Developers are experienced professionals responsible for designing, coding, and maintaining software solutions independently. Internships serve as a stepping stone toward becoming a full-fledged Python Developer.

Internship
Posted 9 hours ago
Job description
The education policy team’s data intern will support the team’s cutting-edge research at the intersection of data, education policy, and technology. The data intern will research a variety of topics, including by:
- analyzing and drawing meaningful interpretations from state and national education data sets;
- using statistical modeling to estimate causal effects;
- using web scraping to construct novel education data sets;
- applying text analysis, machine learning, and other techniques to analyze unstructured data; and
- creating visualizations and written reports to communicate results.
Candidates are expected to:
- be highly interested in learning more about education policy;
- have keen attention to detail and be highly effective at communication;
- be highly proficient in Python and/or R.
- have a strong understanding of statistics;
- have a foundational understanding of machine learning;
- be comfortable working independently when given a project; and
- be able and eager to learn new skills on the job.
Applicants who go above and beyond will:
- have taken coursework to understand, or have work experience in, education policy; and
- demonstrate fluency in both Python and R, and potentially other programming languages;
- have a strong understanding of regression and causal analysis; and
- have experience applying machine learning and/or natural language processing to unstructured, messy data sets.
The ideal candidate for this position will have a passion for understanding K–12 American education through multiple types of data, have a general STEM background with a foundational understanding of data science, and be driven by open-minded,
intellectual curiosity. Candidates who are able to participate in the program on an in-person basis for 30-40 hours a week are encouraged to apply.
About AEI Internships
AEI internships offer a unique opportunity for undergraduates, graduate students, and recent graduates to gain experience in research, writing, business, and communications at one of the nation’s leading think tanks.
Competitive candidates will generally have a GPA of 3.5 or higher from a top-ranking college or university. AEI’s internship program runs for 12 weeks and all related programming will take place in-person in Washington, DC. Please see the internship program home page for updates about the program.
The fall program dates are either Tuesday, September 8, to Friday, December 4, or Tuesday, September 15, to Friday, December 11.