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Internship Computer Science Cpt Jobs in Philadelphia, PA

Winaxis

Data Scientist

Philadelphia, PA · On-site

$60/hr

No CPT/OPT; all others considered Key Responsibilities: - Leverage 6+ years of experience in data ... in Data Science, Statistics, Computer Science, Engineering, Business, or related field (or ...

Athenago

Data Science Intern

Wilmington, DE

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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$25

How much do internship computer science cpt jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for internship computer science cpt in Philadelphia, PA is $17.59, according to ZipRecruiter salary data. Most workers in this role earn between $14.57 and $19.42 per hour, depending on experience, location, and employer.

What is an Internship Computer Science CPT?

An Internship Computer Science CPT refers to a Curricular Practical Training (CPT) opportunity for computer science students who are on F-1 visas in the United States. CPT allows eligible international students to gain hands-on work experience in their field of study while still enrolled in their academic program. The work must be directly related to their major, approved by their school, and can be part-time or full-time depending on the institution's policies. Participation in CPT helps students apply classroom knowledge to real-world problems and build professional skills.

What types of projects or tasks can I expect to work on during an Internship Computer Science CPT?

During a Computer Science CPT internship, you can expect to work on a variety of hands-on projects such as software development, debugging, testing, and collaborating on code reviews with your team. Interns often contribute to ongoing projects, assist with designing algorithms, and may participate in meetings to discuss technical solutions and project progress. The work environment is typically collaborative, with interns receiving mentorship from experienced engineers and opportunities to learn new technologies. This experience helps build practical skills that are directly applicable to future full-time roles.

What are the key skills and qualifications needed to thrive as an Internship Computer Science CPT, and why are they important?

To thrive as an Internship Computer Science CPT, you typically need foundational programming knowledge, problem-solving abilities, and enrollment in a relevant academic program, with CPT (Curricular Practical Training) authorization from your university. Familiarity with coding languages like Python or Java, version control systems such as Git, and exposure to development environments are commonly expected. Strong communication, adaptability, and teamwork skills help interns effectively learn and contribute within professional settings. These skills and qualifications are crucial to ensuring successful integration into real-world projects, compliance with visa requirements, and meaningful professional growth.

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Internship Computer Science Cpt jobs near you

Quantitative Research Analyst Internship

Stevens Capital Management LP - Full Time and Internships

Radnor, PA

Full-time, Part-time, Internship

Re-posted 3 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.

Apply