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What is a computer science internship no experience?

A Computer Science Internship with no experience is an entry-level opportunity for students or beginners to gain hands-on experience in the field. These internships typically involve tasks like coding, debugging, software testing, and assisting with projects under the guidance of experienced professionals. Employers expect candidates to have basic programming knowledge, problem-solving skills, and a willingness to learn. It's a great way to build your resume, gain industry exposure, and develop practical skills for future job opportunities.

What types of projects or tasks can I expect to work on as a computer science intern with no prior experience?

As a Computer Science Intern without previous work experience, you'll typically assist with entry-level programming, debugging, or testing tasks under the guidance of experienced team members. You may also help maintain documentation, participate in group code reviews, or contribute to research and development projects. Interns often collaborate closely with engineers and fellow interns, providing a supportive environment for learning industry best practices. These responsibilities are designed to help you build practical skills and gain real-world exposure, setting a strong foundation for future career growth in tech.

What are the key skills and qualifications needed to thrive in a computer science internship with no prior experience?

To thrive as a Computer Science Intern with no prior experience, you should have a basic understanding of programming concepts, problem-solving abilities, and a willingness to learn, often gained through coursework or personal projects. Familiarity with languages like Python or Java, version control tools such as Git, and exposure to basic software development environments are typically beneficial. Strong communication, teamwork, and time management skills set candidates apart by enabling effective collaboration and adaptability. These skills and qualities are crucial as they help interns quickly integrate into tech teams and contribute meaningfully to ongoing projects.

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Infographic showing various Computer Science Internship No Experience job openings in Spring, TX as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 19% Part Time, and 4% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution.

Data Science Machine Learning Internship (Summer 2027)

Castleton Commodities International LLC

Houston, TX

Full-time

Re-posted 13 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.

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