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Computer Science Winter Internship Jobs in New York

Meta

Computer Vision Engineer

New York, NY

$154K/yr

Contribute to recruitment, mentoring, onboarding, and growing ML engineers/scientists, interns, and contractors Minimum Qualifications: * Bachelor's degree in Computer Science, Computer Engineering ...

Synaptrix Labs

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 ...

Synaptrix Labs

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 ...

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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 are popular job titles related to Computer Science Winter Internship jobs in New York?

For Computer Science Winter Internship jobs in New York, the most frequently searched job titles are:

What job categories do people searching Computer Science Winter Internship jobs in New York look for?

The top searched job categories for Computer Science Winter Internship jobs in New York are:

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:

Computer Science Winter Internship jobs near you
Infographic showing various Computer Science Winter Internship job openings in New York as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, 2% Contract, and 1% Nights. Highlights an 78% Physical, 2% Hybrid, and 20% Remote job distribution.

Full-Stack Software Engineer Internship (Summer 2027)

Castleton Commodities International, LLC

Stamford, CT • On-site

Full-time

Posted 28 days ago

Job description

Application Deadline: September 1st at 11:59 pm EST
Program Summary - Data Science & Technology Internship
Company Overview:
Castleton Commodities International is a leading global energy commodities merchant and infrastructure asset investor. As a trader, CCI deploys capital on a proprietary basis in the physical and financial commodity markets, providing the Company with market insights and access. As a strategic investor and developer, CCI leverages its market expertise, operations capabilities, and industry knowledge to invest in, and develop, select commodity infrastructure assets. Our strategically integrated platform has generated strong risk-adjusted returns for our investors since our formation.
Position Overview:
CCI is developing a leading-edge analytics platform, as staying at the forefront of data management and analytics is essential to our investment strategy. We are looking for motivated and detail-oriented Front Office Software Engineering Interns to join our Global Data Science & Technology team in our Stamford, CT office. This internship is ideal for technically skilled students with a strong interest in building quality software that directly impacts trading, analytics, and investment workflows. You'll collaborate closely with other Software Engineer's, Data Scientist's, and Commercial end users, contributing to our front office platform through hands-on development projects using Python, cloud technologies (AWS), APIs, and Snowflake.
Responsibilities:
  • Contribute to the development of front office software tools that support real-time trading, market data analytics, and visualization.
  • Work with the commercial trading team to optimize and re-engineer pricing models, decision tools, and trading workflows.
  • Build and enhance Python-based microservices and APIs for internal data access and operations automation.
  • Assist in building data visualization dashboards using libraries such as Streamlit, integrating commercial KPIs, price curves, and supply/demand analytics.
  • Participate in cloud-native application development using AWS services, including Kubernetes and Kafka.
  • Support automation of deployment processes using modern DevOps tools (e.g., Git, Docker, Helm, CI/CD pipelines).
  • Collaborate with the Data Science team to help integrate ML-driven analytics into front office workflows.

Qualifications:
  • Currently pursuing a Bachelor's or Master's degree in Computer Science, Engineering, Management Information Systems, or related technical field of study.
  • Expected graduation date of Winter 2027 or Spring/Summer 2028.
  • Strong programming experience in Python (preferred libraries: Pandas, NumPy, etc.)
  • Familiarity with version control tools (e.g., Git) and software development best practices.
  • Strong problem-solving abilities and an eagerness to learn about financial markets and trading systems.
  • Excellent communication skills and ability to work in a fast-paced, collaborative environment.Top of Form

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