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Summer Masters Computer Science Jobs in Connecticut

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 ...

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All JobsSummer Masters Computer Science JobsSummer Masters Computer Science Jobs in Connecticut

Summer Masters Computer Science information

Is MSC CS good for the future?

A Master of Science in Computer Science (MSC CS) can enhance job prospects in fields like software development, data analysis, and cybersecurity. It provides advanced skills in programming, algorithms, and systems, which are in high demand across various industries and can lead to higher-level positions and salaries.

Is MS in CS worth it?

A Master of Science in Computer Science can enhance job prospects for roles such as software developer, data scientist, or systems analyst by providing advanced technical skills, including programming, algorithms, and data management. It often leads to higher salaries and more specialized positions, but the value depends on individual career goals and industry demand.

What kind of job can I get with a masters in computer science?

A master's in computer science qualifies individuals for roles such as software engineer, data scientist, systems analyst, or cybersecurity analyst. These positions often require strong programming skills, knowledge of algorithms, and familiarity with tools like Python, Java, or cloud platforms.

Which job is best after an MSC computer science?

After completing an MSc in Computer Science, common career options include software developer, data scientist, systems analyst, or cybersecurity analyst. These roles typically require strong programming skills, knowledge of algorithms, and familiarity with tools like Python, Java, or cloud platforms. The best job depends on individual interests and specialization within the field.

What is the difference between Summer Masters Computer Science vs Summer Data Science Intern?

AspectSummer Masters Computer ScienceSummer Data Science Intern
Required CredentialsUndergraduate or Master's in Computer Science or related fieldUndergraduate or Master's in Data Science, Computer Science, or related field
Work EnvironmentSoftware development, coding, algorithm designData analysis, modeling, statistical programming
Employer & Industry UsageTech companies, software firms, startupsTech companies, finance, healthcare, consulting

Summer Masters Computer Science roles focus on software development, coding, and algorithms, while Summer Data Science Intern positions emphasize data analysis, statistical modeling, and data-driven decision making. Both roles typically require similar educational backgrounds and are found in tech-driven industries, but they differ in daily tasks and skill emphasis.

What are the most commonly searched types of Masters Computer Science jobs in Connecticut? The most popular types of Masters Computer Science jobs in Connecticut are:
What are popular job titles related to Summer Masters Computer Science jobs in Connecticut? For Summer Masters Computer Science jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching Summer Masters Computer Science jobs in Connecticut look for? The top searched job categories for Summer Masters Computer Science jobs in Connecticut are:
What cities in Connecticut are hiring for Summer Masters Computer Science jobs? Cities in Connecticut with the most Summer Masters Computer Science job openings:
Summer Masters Computer Science jobs near you
Infographic showing various Summer Masters Computer Science job openings in Connecticut as of July 2026, with employment types broken down into 1% As Needed, 86% Full Time, 11% Part Time, and 2% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution.
Data Science Machine Learning Internship (Summer 2027)

Data Science Machine Learning Internship (Summer 2027)

Castleton Commodities International LLC

Stamford, CT

Full-time

Posted 4 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