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Computer Science Internships Jobs in Glassboro, NJ

Athenago

Data Science Intern

Wilmington, DE · On-site

Currently pursuing a graduate degree or senior undergraduate status in Data Science, Computer ... Previous internship or project experience demonstrating practical data science applications.

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Computer Science Internships information

What is a computer science internship?

A Computer Science Internship is a temporary position where students or recent graduates gain practical experience in software development, data analysis, cybersecurity, or other tech-related fields. Interns work under the guidance of experienced professionals, contributing to real projects while enhancing their technical and problem-solving skills. These internships can be paid or unpaid and often serve as a stepping stone to full-time employment.

What skills and qualifications are needed for a computer science internship?

To succeed in Computer Science Internships, candidates typically need a solid understanding of programming languages such as Python, Java, or C++, as well as foundational knowledge gained through coursework or relevant projects. Familiarity with version control systems like Git, exposure to development environments, and sometimes experience with databases or cloud platforms are highly beneficial. Strong problem-solving abilities, adaptability, and effective communication skills help interns collaborate on team projects and learn quickly. These competencies are crucial for contributing meaningfully to technical tasks while growing professionally in a fast-paced environment.

What types of projects or tasks can I expect to work on during a computer science internship?

As a computer science intern, you may collaborate with a team on real-world software development projects, assist in coding new features, perform testing and debugging, or work on data analysis tasks. Many interns also gain experience designing algorithms, writing documentation, and participating in code reviews. The specific responsibilities can vary based on the company's focus—ranging from web or app development to research or infrastructure support. These tasks are designed to help you apply academic knowledge to practical challenges, enhance your technical skills, and prepare you for future roles in computer science.

What job categories do people searching Computer Science Internships jobs in Glassboro, NJ look for?

The top searched job categories for Computer Science Internships jobs in Glassboro, NJ are:

What cities near Glassboro, NJ are hiring for Computer Science Internships jobs?

Cities near Glassboro, NJ with the most Computer Science Internships job openings:

Computer Science Internships jobs near you
Infographic showing various Computer Science Internships job openings in Glassboro, NJ as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 16% Part Time, 2% Contract, and 1% Nights. Highlights an 76% Physical, 2% Hybrid, and 22% Remote job distribution.

Quantitative Research Analyst Internship

Stevens Capital Management LP - Full Time and Internships

Radnor, PA

Full-time, Part-time, Internship

Re-posted 8 days ago

Job description

We're seeking exceptionally motivated students with a strong interest in the financial markets to contribute to our empirical research process.  The range of research ideas to investigate is open-ended and will depend on a candidate's background and strengths.

Opportunities, including full-time summer internships and part-time work throughout the school year, are available for qualified students at each of the undergraduate, masters and PhD levels.

Primary Responsibilities

  • Read and analyze academic research or other source material pertaining to anomalies in the global financial markets.
  • Build data sets and conduct statistical analysis on the data.

Requirements

  • Substantial progress toward a degree (graduate level preferred) in a quantitative discipline (e.g. statistics, econometrics, mathematics, engineering, physics or computer science) or finance (with extensive coursework in quantitative disciplines). 
  • Programming experience, ideally including R, C++ and/or Python.
  • Experience with regression analysis.
  • Strong interest in learning how to build, organize and analyze large data sets.
  • Strong organizational and communication skills.

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