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Computer Science Internship information
What do you do as a computer science intern?
What is the difference between Computer Science Internship vs Software Developer Intern?
| Aspect | Computer Science Internship | Software Developer Intern |
|---|---|---|
| Required Credentials | Typically pursuing or recent graduate in CS or related field | Same as CS internship, often students or recent grads |
| Work Environment | Varies across tech companies, research labs, startups | Primarily software development teams in tech firms |
| Employer & Industry Usage | Used across academia, industry, research projects | Primarily in software development companies and tech industry |
| Common Search & Comparison Intent | Understanding internship opportunities in CS | Comparing software development internship roles |
Both Computer Science Internships and Software Developer Internships target students or recent graduates interested in tech. While CS internships may include research, data analysis, or broader technical roles, Software Developer Internships focus specifically on coding and software creation. The choice depends on your career goals and the specific skills you want to develop.
Where can I do my internship as a computer science student?
What are the key skills and qualifications needed to thrive as a Computer Science Intern, and why are they important?
What types of projects do Computer Science interns typically work on, and how much autonomy can I expect?
Is 23 an hour good for an internship?
What Are Internship Opportunities in Computer Science?
An internship in computer science provides on-the-job training for students who study computer science. Your duties in this program depend on the focus on the internship. Some interns get experiencing coding and developing software, applications, or website user interfaces. As an intern, you work under the direction of programming and development professionals. Your responsibilities include writing lines of code, testing and debugging software, learning computer languages in a realistic setting, and functioning as part of a team. Other computer science internships focus on providing technical support, cybersecurity services, or administration services as part of an IT team.
Which internship is best for a CS student?
What is a computer science internship?

Data Science Machine Learning Internship (Summer 2027)
Houston, TX
Full-time
Posted 7 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.
About Castleton Commodities International
Sourced by ZipRecruiter
Industry
Oil and gas extraction
Company size
501 - 1,000 Employees
Headquarters location
Stamford, CT, US
Year founded
1997