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Remote Computer Science Internship Jobs in Kennett Square, PA

Internships, coursework, and on-the-job exposure count. * Working understanding of relational data ... Associate's or Bachelor's degree in Information Systems, Computer Science, Business Analytics, or a ...

Back-End Engineer

Philadelphia, PA · Remote

$75K - $125K/yr

Develop and enhance software for advanced Condition Assessment and Remote Monitoring systems in ... computer science or equivalent. from an accredited college or university. * At least 3 years of ...

Remote (East Coast candidates preferred) Start Date: ASAP Duration: 6-12 Month Contract ... Bachelor's degree in Computer Science, Engineering, or equivalent experience.

Qualifications BA/BSc preferably related to life sciences, chemistry, economics, business, engineering, mathematics, statistics, or computer science 6-8 years experience A postgraduate qualification ...

Qualifications • BA/BSc preferably related to life sciences, chemistry, economics, business, engineering, mathematics, statistics, or computer science • 6-8 years experience • A postgraduate ...

Qualifications BA/BSc preferably related to life sciences, chemistry, economics, business, engineering, mathematics, statistics, or computer science 6-8 years experience A postgraduate qualification ...

Showing results 41-60

Remote Computer Science Internship information

What is a remote computer science internship?

A Remote Computer Science Internship is a temporary, virtual position where students or aspiring professionals gain hands-on experience in computer science fields such as software development, data analysis, cybersecurity, or AI. Interns work on real-world projects, collaborate with teams, and develop technical and problem-solving skills—all from a remote location. These internships provide valuable exposure to industry tools, programming languages, and professional workflows, enhancing career prospects.

What kind of support and mentorship can I expect during a remote computer science internship?

Remote Computer Science Interns typically receive regular guidance from designated mentors or team leads through scheduled video calls, chat channels, and collaborative online tools. You'll have access to code reviews, feedback sessions, and opportunities to participate in virtual team meetings, allowing you to learn from experienced professionals and ask questions in real-time. Many organizations also provide onboarding resources, documentation, and community forums to help new interns integrate smoothly. This supportive environment ensures you can develop your skills, overcome remote work challenges, and make meaningful contributions during your internship.

What are the key skills and qualifications needed to thrive in a remote computer science internship, and why are they important?

To thrive as a Remote Computer Science Intern, you should possess a solid understanding of programming languages such as Python, Java, or C++, strong problem-solving abilities, and be actively pursuing or holding a degree in computer science or a related field. Familiarity with version control systems like Git, basic knowledge of software development tools, and exposure to collaborative platforms such as GitHub or Jira are highly valued. Excellent communication, self-motivation, and time management skills enable you to work effectively in a remote environment and stay connected with your team. These competencies are essential for successfully contributing to real-world projects, adapting to remote workflows, and developing professionally during the internship.

What job categories do people searching Remote Computer Science Internship jobs in Kennett Square, PA look for?

The top searched job categories for Remote Computer Science Internship jobs in Kennett Square, PA are:

What cities near Kennett Square, PA are hiring for Remote Computer Science Internship jobs?

Cities near Kennett Square, PA with the most Remote Computer Science Internship job openings:

Infographic showing various Remote Computer Science Internship job openings in Kennett Square, PA as of August 2026, with employment types broken down into 25% Internship, 42% Full Time, and 33% Part Time. Highlights an 100% Remote job distribution.

Senior Quantitative Researcher Equities - Remote

Stevens Capital Management LP

Radnor, PA • On-site, Remote

$150K - $300K/yr

Full-time

Medical, Dental, Retirement

Re-posted 15 days ago


Job description

SCM is committed to a workplace that values and promotes diversity, inclusion and equal employment opportunity by ensuring that all employees are valued, heard, engaged and involved at work and have full opportunities to collaborate, contribute and grow professionally.
We are currently seeking a highly driven, well organized, and motivated candidate to join our team. SCM offers the opportunity to work in person, remotely or in a hybrid work environment.
Primary Responsibilities:
  • Develop, implement and evaluate quantitative trading models in the global equity markets.
  • Continuously improve trading models and modeling techniques.
  • Identify orthogonal factors to enhance overall portfolio performance.

Requirements:
  • 5+ years quantitative hedge fund or proprietary trading experience.
  • Experience utilizing statistical modeling techniques to develop quantitative trading models.
  • Keen focus on achieving outstanding risk adjusted returns.
  • Strong interest in the financial markets.
  • Exceptional economic intuition.
  • Degree(s) in statistics, mathematics, computer science or other technical disciplines.

The base pay for this position is anticipated to be between $150,000 and $300,000 per year. The anticipated annual base pay range is current as of the time this job post was generated. This position is eligible for other forms of compensation and benefits, such as a bonus, health and dental plans and 401(k) contributions, which includes a discretionary profit sharing program. An employee's bonus and related compensation benefits can be a significant portion of total compensation. Actual compensation for successful candidates will be carefully determined based on a number of factors, including their skills, qualifications and experience.