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Internship Ibm Computer Science Jobs in Philadelphia, PA

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

... of IBM z/OS SMP/E experience in a medium to large size mainframe shop Bachelor's degree in Information Technology or Computer Science (or related field experience) Please provide name of school ...

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Internship Ibm Computer Science information

Which internship is best for a computer science student?

The best internship for a computer science student depends on their interests and career goals, but highly regarded options include internships at major tech companies like IBM, Google, and Microsoft, which offer hands-on experience in software development, data analysis, and cybersecurity. These internships typically require strong programming skills in languages such as Java, Python, or C++, and may involve working with cloud platforms, AI, or machine learning tools. Selecting an internship that aligns with your desired specialization and provides mentorship opportunities can enhance your skills and employability.

Is it hard to get an IBM internship?

Securing an IBM Computer Science internship can be competitive, as the company looks for candidates with strong technical skills, relevant coursework, and sometimes prior project experience. Applicants often need to demonstrate proficiency in programming languages, problem-solving abilities, and a good academic record. The application process typically involves multiple interview rounds, including technical assessments.

What is the difference between Internship Ibm Computer Science vs Software Engineer Intern?

AspectInternship Ibm Computer ScienceSoftware Engineer Intern
Required CredentialsTypically pursuing a Computer Science degree or related fieldSame as IBM internship, often requiring ongoing CS coursework
Work EnvironmentCorporate office, research labs, or remoteTech companies, startups, or corporate offices
Industry UsageUsed across tech, consulting, and enterprise sectorsPrimarily in software development and tech firms
Common Search/ComparisonYesYes

Both internships target students in Computer Science, offering hands-on experience in software development. The IBM internship emphasizes exposure to enterprise solutions and research, while a Software Engineer Intern role focuses more on coding, application development, and software projects within tech companies. The key differences lie in the specific industry focus and potential project types, but both serve as valuable entry points into tech careers.

What are popular job titles related to Internship Ibm Computer Science jobs in Philadelphia, PA? For Internship Ibm Computer Science jobs in Philadelphia, PA, the most frequently searched job titles are:
What job categories do people searching Internship Ibm Computer Science jobs in Philadelphia, PA look for? The top searched job categories for Internship Ibm Computer Science jobs in Philadelphia, PA are:
What cities near Philadelphia, PA are hiring for Internship Ibm Computer Science jobs? Cities near Philadelphia, PA with the most Internship Ibm Computer Science job openings:
Infographic showing various Internship Ibm Computer Science job openings in Philadelphia, PA as of August 2026, with employment types broken down into 100% Part Time. Highlights an 100% In-person job distribution.

Full-time, Part-time, Internship

Re-posted 25 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.