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Computer Science Winter Internship Jobs in New York

Collaborate with fellow interns, mentors, and engineers while building software that delivers impact at global scale Who You Are: * Pursuing a degree in Computer Science, Software Engineering, or a ...

Internship Program

New York, NY · On-site

$18.25 - $23.75/hr

Currently pursuing a Bachelor's or Master's degree in Computer Science, Electrical Engineering ... Availability for an internship in New York City. Preferred Qualifications: * Prior experience with ...

Internship Program

New York, NY · On-site

$18.25 - $23.75/hr

Currently pursuing a Bachelor's or Master's degree in Computer Science, Electrical Engineering ... Availability for an internship in New York City. Preferred Qualifications: * Prior experience with ...

Associate Data Scientist

Stamford, CT · Hybrid

$62K - $63K/yr

Knowledge of computer science principles such as algorithms, data structures and design methodologies Preferred Qualifications Experience * Internship experience in a data scientist role #LI-JV1 ...

Internship Program

New York, NY

$18.25 - $23.75/hr

Currently pursuing a Bachelor's or Master's degree in Computer Science, Electrical Engineering ... Availability for an internship in New York City. Preferred Qualifications: * Prior experience with ...

Showing results 41-60

Computer Science Winter Internship information

What is a computer science winter internship?

A Computer Science Winter Internship is a short-term, hands-on learning opportunity for students to gain practical experience in software development, data science, cybersecurity, or other tech fields. Typically lasting a few months during the winter break, interns work on real-world projects, collaborate with professionals, and enhance their technical and problem-solving skills. These internships help students build their resumes, expand their industry network, and sometimes lead to full-time job offers.

What kinds of projects or tasks are typically assigned during a computer science winter internship?

During a Computer Science Winter Internship, interns commonly work on real-world projects such as developing software features, debugging code, creating test cases, or assisting with documentation. The tasks can range from individual assignments to collaborative efforts with other engineers or product teams, depending on the organization's needs. Interns often have the opportunity to attend technical meetings, participate in code reviews, and learn industry best practices firsthand. This structure provides valuable exposure to professional workflows and helps interns build practical skills for future career advancement.

What are the key skills and qualifications needed to thrive in a computer science winter internship?

A Computer Science Winter Internship typically requires a foundational understanding of programming languages such as Python, Java, or C++, alongside coursework or projects in algorithms, data structures, or software development. Interns often use version control systems like Git, development environments such as Visual Studio Code, and may benefit from certifications in relevant technologies or programming languages. Strong problem-solving skills, eagerness to learn, and the ability to communicate effectively within a team are important soft skills. These competencies are crucial for successfully contributing to technical projects, adapting to new technologies, and collaborating in dynamic work environments.

What cities in New York are hiring for Computer Science Winter Internship jobs?

Cities in New York with the most Computer Science Winter Internship job openings:

Infographic showing various Computer Science Winter Internship job openings in New York as of August 2026, with employment types broken down into 40% Internship, 36% Full Time, 16% Part Time, and 8% Temporary. Highlights an 100% In-person job distribution.

Quantitative Researcher - Internship

WallStreetQuants

New York, NY • On-site

Full-time

Re-posted 24 days ago


Job description

About the Internship

A New York based Hedge Fund is seeking an Undergraduate Quantitative Research Intern to join their quantitative research team. This internship is designed for undergraduate students interested in applying mathematics, statistics, programming, and data analysis to financial markets.

You will work alongside experienced researchers and traders to explore market data, test research ideas, and help evaluate systematic trading strategies. This is a hands-on opportunity to gain exposure to quantitative finance in a collaborative and intellectually challenging environment.

Requirements

Responsibilities
  • Analyze financial and market datasets using statistical methods.
  • Assist with research on systematic trading strategies.
  • Clean, organize, and validate large datasets.
  • Build simple models and backtests under researcher supervision.
  • Write Python code for data analysis, visualization, and research workflows.
  • Summarize findings clearly through charts, reports, or presentations.
  • Collaborate with researchers, traders, and engineers on research projects.
  • Learn how quantitative research ideas are developed, tested, and evaluated.
Qualifications
  • Currently pursuing a bachelor's degree in Mathematics, Statistics, Computer Science, Engineering, Physics, Economics, Finance, or a related quantitative field.
  • Expected graduation date of 2028 or 2029.
  • Strong academic performance in quantitative coursework.
  • Programming experience in Python.
  • Familiarity with probability, statistics, linear algebra, or optimization.
  • Interest in financial markets, trading, investing, or data-driven decision-making.
  • Strong problem-solving skills and attention to detail.
  • Ability to communicate technical ideas clearly.
Preferred Qualifications
  • Experience with pandas, NumPy, matplotlib, scikit-learn, or similar tools.
  • Coursework or projects involving data analysis, machine learning, econometrics, or time series.
  • Familiarity with SQL or databases.
  • Participation in math, programming, trading, data science, or research competitions.
  • Prior internship, academic research, or independent project involving quantitative analysis.

Benefits

What You'll Gain
  • Exposure to real-world quantitative research and systematic trading.
  • Mentorship from experienced researchers and traders.
  • Practical experience working with financial data.
  • Opportunity to contribute to meaningful research projects.
  • A deeper understanding of careers in quantitative finance.