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Computer Science Summer Jobs in Connecticut (NOW HIRING)

AQR

2027 Research Summer Analyst

Greenwich, CT · On-site

The Internship Program Our 10-week summer program puts real work of the firm in your hands. You ... Finance, Economics, Computer Science, Math, Engineering, etc.) with a desire to work in the ...

AQR

2027 Research Summer Analyst

Greenwich, CT

The Internship Program Our 10-week summer program puts real work of the firm in your hands. You ... Finance, Economics, Computer Science, Math, Engineering, etc.) with a desire to work in the ...

AQR

2027 Research Summer Analyst

Greenwich, CT · On-site

The Internship Program Our 10-week summer program puts real work of the firm in your hands. You ... Finance, Economics, Computer Science, Math, Engineering, etc.) with a desire to work in the ...

Freddie Mac

$15.25 - $20.75/hr

Freddie Mac's University program offers summer internships and full-time opportunities in Accounting, Business, Communications, Investments & Capital Markets, Computer Science, Data/Quant Analytics ...

New

Freddie Mac

$15.25 - $20.75/hr

Freddie Mac's University program offers summer internships and full-time opportunities in Accounting, Business, Communications, Investments & Capital Markets, Computer Science, Data/Quant Analytics ...

New

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All JobsComputer Science Summer JobsComputer Science Summer Jobs in Connecticut

Computer Science Summer information

See Connecticut salary details

$15.1K

$49.8K

$103.4K

How much do computer science summer jobs pay per year?

As of Aug 6, 2026, the average yearly pay for computer science summer in Connecticut is $49,791.00, according to ZipRecruiter salary data. Most workers in this role earn between $29,104.00 and $57,707.00 per year, depending on experience, location, and employer.

What to do over the summer as a computer science summer?

A computer science summer internship or program offers opportunities to gain practical experience, develop coding skills, and work on real-world projects. Participants can also pursue certifications, learn new programming languages, or contribute to open-source projects to enhance their resumes.

What are summer jobs in computer science?

Summer computer science jobs are for students, teachers, or academics who want to work in computer-related positions or undertake internships that provide experience in fields such as IT or software development. In these short term jobs, your duties depend on the needs of your employer. A computer science instructor can work with students of various ages to teach computer skills during summer school or a computer camp. As an intern, you might work on programming, computer engineering, or database administration tasks as part of an internship program. Academic professionals can work on research projects that have a programming component during the summertime.

What kinds of projects or tasks can I expect to work on during a computer science summer internship?

During a Computer Science Summer internship, you can expect to work on a variety of hands-on projects ranging from software development and debugging to data analysis and algorithm design. Interns often collaborate with experienced engineers, participate in code reviews, and may contribute to ongoing company initiatives or build prototypes for new features. The work environment is typically team-oriented, providing opportunities to learn from peers and mentors while gaining practical experience with real-world systems and tools. This exposure helps interns develop technical skills and gain insight into potential career paths within computer science.

What are computer science summer programs?

Computer Science Summer programs are short-term educational opportunities, usually held during the summer months, that allow students to explore computer science through hands-on projects, coursework, and workshops. These programs are often designed for high school or college students who want to gain practical experience in areas like programming, robotics, artificial intelligence, or cybersecurity. Participants may collaborate on group projects, attend lectures from industry professionals, and build a foundation for future studies or careers in technology. Programs can be found at universities, online, or through specialized organizations, and they often provide networking opportunities and exposure to the latest industry trends.

Are computer science summer majors still in demand?

Computer science summer majors are in high demand as employers seek candidates with programming skills, knowledge of algorithms, and experience with tools like Python, Java, and data structures. These internships and programs often lead to full-time roles in software development, cybersecurity, and data analysis, reflecting the ongoing need for technical expertise in the industry.

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

To thrive as a Computer Science Summer Intern, you typically need foundational knowledge in programming, data structures, and algorithms, often gained through coursework or a related degree program. Familiarity with languages like Python or Java, version control systems such as Git, and exposure to software development tools is common. Strong problem-solving skills, willingness to learn, and effective teamwork set outstanding interns apart. These abilities enable interns to contribute meaningfully to projects, adapt quickly, and integrate well with professional teams during their short tenure.
More about Computer Science Summer jobs
What are the most commonly searched types of Computer Science jobs in Connecticut? The most popular types of Computer Science jobs in Connecticut are:
What cities in Connecticut are hiring for Computer Science Summer jobs? Cities in Connecticut with the most Computer Science Summer job openings:
Computer Science Summer jobs near you
Infographic showing various Computer Science Summer job openings in Connecticut as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 3% Contract, and 1% Nights. Highlights an 80% Physical, 1% Hybrid, and 19% Remote job distribution, with an average salary of $49,791 per year, or $23.9 per hour.

Data Science Machine Learning Internship (Summer 2027)

Castleton Commodities International, LLC

Stamford, CT • On-site

Full-time

Posted 16 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