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Computer Science Internship Summer Jobs in Houston, TX

Alvin ISD

CTE - Computer Science (004-118)

Alvin, TX

$41K - $56K/yr

... of computer science and digital technology, supporting the STEM endorsement. The teacher will ... At least one year student teaching or approved internship Salary: Teacher/10 Months

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All JobsComputer Science Summer JobsComputer Science Internship Summer JobsComputer Science Internship Summer Jobs in Houston, TX

Computer Science Internship Summer information

See Houston, TX salary details

$8

$16

$24

How much do computer science internship summer jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for computer science internship summer in Houston, TX is $16.65, according to ZipRecruiter salary data. Most workers in this role earn between $13.75 and $18.37 per hour, depending on experience, location, and employer.

What is the difference between Computer Science Internship Summer vs Software Engineering Internship Summer?

AspectComputer Science Internship SummerSoftware Engineering Internship Summer
Required CredentialsTypically pursuing CS degree, coding skills, courseworkSame as CS internship, often with coding and software development focus
Work EnvironmentAcademic projects, research labs, tech companiesSoftware development teams, tech firms, startups
Employer & Industry UsageUniversities, tech companies, research institutionsTech companies, software firms, startups
Common Search & ComparisonOften compared for internship opportunities in techFocuses on software development roles during summer

Both internships target students in computer science, emphasizing coding and software skills. The main difference lies in the focus: Computer Science Internships may include research or theoretical work, while Software Engineering Internships concentrate on practical software development. Both are valuable for gaining industry experience in tech companies during summer.

What kinds of projects and responsibilities can I expect during a computer science internship in the summer?

During a Computer Science Internship in the summer, interns typically work on real-world projects ranging from software development and testing to data analysis and system optimization. You'll often collaborate with experienced engineers and attend team meetings, code reviews, and technical workshops. While tasks can vary, common responsibilities include writing and debugging code, contributing to documentation, and presenting your progress. Interns are encouraged to ask questions, seek feedback, and actively participate in team activities, making this an excellent opportunity to gain practical experience and expand your professional network.

What is a computer science internship summer?

A Computer Science Internship Summer is a temporary, usually 8-12 week program that gives students or recent graduates hands-on experience in the computer science field during the summer months. Interns work on real-world projects, often in areas such as software development, data analysis, or cybersecurity, under the supervision of experienced professionals. These internships help participants gain practical skills, build their professional networks, and enhance their resumes for future job opportunities. Many organizations use summer internships as a talent pipeline for full-time roles after graduation.

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

To thrive as a Computer Science Intern, you generally need a strong grasp of programming fundamentals, data structures, algorithms, and coursework toward a relevant degree. Familiarity with languages like Python, Java, or C++, version control systems such as Git, and exposure to collaborative development tools are typically expected. Problem-solving ability, eagerness to learn, teamwork, and effective communication help interns stand out. These skills enable you to contribute meaningfully to projects, adapt quickly to new technologies, and integrate well within professional teams.
What are popular job titles related to Computer Science Internship Summer jobs in Houston, TX? For Computer Science Internship Summer jobs in Houston, TX, the most frequently searched job titles are:
What job categories do people searching Computer Science Internship Summer jobs in Houston, TX look for? The top searched job categories for Computer Science Internship Summer jobs in Houston, TX are:
What cities near Houston, TX are hiring for Computer Science Internship Summer jobs? Cities near Houston, TX with the most Computer Science Internship Summer job openings:
Computer Science Internship Summer jobs near you
Infographic showing various Computer Science Internship Summer job openings in Houston, TX as of August 2026, with employment types broken down into 6% Internship, 55% Full Time, 33% Part Time, and 6% Temporary. Highlights an 94% In-person, and 6% Remote job distribution, with an average salary of $34,632 per year, or $16.6 per hour.

Data Science Machine Learning Internship (Summer 2027)

Castleton Commodities International LLC

Houston, TX

Full-time

Posted 17 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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