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Volunteer Computer Science Internship Jobs in New York

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 ...

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 ...

Customer Operations

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 ...

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Volunteer Computer Science Internship information

What is a volunteer computer science internship?

A Volunteer Computer Science Internship is an unpaid program where individuals, often students or recent graduates, gain practical experience in computer science by contributing their skills to organizations, non-profits, or community projects. Interns typically work on software development, coding, IT support, or data analysis tasks under the supervision of professionals. This type of internship helps participants build their technical skills, expand their professional network, and enhance their resumes, all while supporting a cause or organization in need. Volunteer internships can be part-time or full-time and may be completed remotely or on-site, depending on the organization's needs.

What types of projects do volunteer computer science interns typically work on, and how much guidance can I expect?

Volunteer Computer Science Interns often contribute to real-world projects such as developing websites, improving nonprofit software tools, or assisting with data analysis and automation tasks. You can generally expect to work closely with a small team or directly under a lead developer, receiving mentorship and feedback throughout your internship. While some tasks may require independent problem-solving, most organizations provide clear project goals, regular check-ins, and opportunities to ask questions. This structure helps interns learn new technologies while making a meaningful impact.

What are the key skills and qualifications needed to thrive as a volunteer computer science intern, and why are they important?

To thrive as a Volunteer Computer Science Intern, you need a strong foundation in programming languages (such as Python, Java, or C++), basic computer science principles, and often current enrollment in a relevant degree program. Familiarity with version control systems like Git, collaborative platforms such as GitHub, and exposure to common development environments are typically expected. Strong problem-solving skills, willingness to learn, and effective communication make an intern stand out in team-based or project-driven settings. These abilities enable you to contribute meaningfully, adapt to real-world projects, and maximize both your learning and your impact within the organization.

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

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

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

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

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Volunteer Computer Science Internship jobs near you

Data Science Machine Learning Internship (Summer 2027)

Castleton Commodities International, LLC

Stamford, CT • On-site

Full-time

Posted 29 days ago

Job description

Application Deadline: September 1, 11:59pm EST
Program Summary - Commercial Technology Internships
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 Data Science 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 Machine Learning Interns with a strong interest in quantitative analysis, particularly time series forecasting to join our Global Data Science team in Stamford, CT, Houston, TX, or New York City offices. Our Machine Learning Internship provides a unique opportunity to work with fundamental market data, generating insights that support our commercial trading business. You will be responsible for analyzing time series data related to market fundamentals in the Power, Natural Gas, and Oil sectors, helping to identify key supply and demand drivers. These insights will play a vital role in forecasting price movements and supporting risk management decisions.
Responsibilities:
  • Apply mathematical and statistical knowledge to enhance existing machine learning applications and explore new solutions.
  • Work closely with Data Scientists, Analysts, and Traders to design, implement, and optimize machine learning models for time series forecasting, including ARIMA/SARIMA, gradient boosting methods (e.g., XGBoost), LSTM networks, and linear regression-based approaches.
  • Assist in designing and implementing end-to-end data ingestion processes, ensuring seamless data flow to investing teams.
  • Work with desk heads, traders, and analysts to understand current data architecture, investment processes, and functional requirements for data science analysis.
  • Contribute to identifying and back-testing new data sets, leveraging machine learning techniques to drive insights.
  • Conduct ad hoc research on emerging project topics, including energy fundamental data, analytics trends, and best practices in big data and artificial intelligence.

Qualifications:
  • Currently pursuing a Bachelor's Degree or higher in Mathematics, Statistics, Physics, Computer Science or related technical field with a focus in Machine Learning.
  • Expected graduation date of Winter 2027 or Spring/Summer 2028.
  • Experience applying machine learning techniques such as regression, time series forecasting, deep learning, reinforcement learning, or predictive modeling to solve problems involving complex data patterns and market dynamics.
  • Strong programming experience in Python (preferred libraries: Pandas, NumPy, etc.)
  • Ability to communicate and interact with a wide range of users, from very technical to non-technical backgrounds.
  • Strong analytical skills with demonstrated attention to detail.

Apply