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Internship Computer Science Apprenticeship Jobs in Houston, TX

Danaher

Software Automation Internships

Houston, TX · On-site

... Computer Science, or another hard science Preference for students who have completed at least 3 years of academic coursework by internship start * Experience with hands-on lab testing and technical ...

Danaher

Software Engineer Internships

The Woodlands, TX · On-site

... in Computer Science, Software Engineering, Biomedical Engineering (with computational focus), or related field * Preference for students who have completed 3+ years of coursework by the internship ...

Danaher

Software Engineer Internships

Houston, TX · On-site

... in Computer Science, Software Engineering, Biomedical Engineering (with computational focus), or related field * Preference for students who have completed 3+ years of coursework by the internship ...

Sycamore Life Sciences, LLC

Be Seen First

Software Engineer Intern

Houston, TX · On-site

$15 - $18/hr

Internship About the Role Sycamore Life Sciences is seeking a motivated and curious Computer Software Engineer Intern to support the development of internal tools, automation workflows, and ...

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Internship Computer Science Apprenticeship information

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

As of Aug 16, 2026, the average hourly pay for internship computer science apprenticeship 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 types of projects and responsibilities can I expect during an internship computer science apprenticeship?

As a Computer Science Apprenticeship intern, you can expect to be involved in a variety of hands-on projects, such as assisting with software development, debugging code, writing documentation, and collaborating with team members on larger initiatives. You'll often work under the guidance of experienced engineers who provide mentorship and feedback, helping you build both technical and professional skills. While the specific projects may vary, you’ll likely work in an agile team environment, participate in code reviews, and contribute to real-world applications or features. This exposure offers valuable experience and insight into the software development lifecycle, preparing you for future full-time roles.

What is an internship computer science apprenticeship?

An Internship Computer Science Apprenticeship is a structured program that combines classroom learning with practical, on-the-job experience in computer science. Participants gain hands-on skills in areas such as programming, software development, and IT support while working alongside experienced professionals. These apprenticeships are designed to help individuals build foundational knowledge and prepare for a career in technology. They often last several months and may lead to full-time job opportunities or further education. The program is ideal for students or early-career professionals looking to break into the tech industry.

What is the difference between Internship Computer Science Apprenticeship vs Computer Science Intern?

AspectInternship Computer Science ApprenticeshipComputer Science Intern
Required credentialsTypically students or recent graduates; no formal certifications requiredUsually students pursuing a degree in computer science or related field
Work environmentHands-on training, mentorship, real-world projectsAssist with projects, learning-focused tasks
Employer usageCompanies offering structured apprenticeship programsCompanies offering internship opportunities
Common search intentUnderstanding apprenticeship programs, career developmentFinding internship opportunities, gaining experience

The Internship Computer Science Apprenticeship and Computer Science Intern roles both provide valuable industry experience. Apprenticeships often include structured training and mentorship, focusing on skill development for long-term careers. Internships tend to be shorter, project-based, and primarily aimed at gaining initial industry exposure. Both roles are essential stepping stones in a computer science career, but apprenticeships typically offer more comprehensive training and a pathway to full employment.

What are the key skills and qualifications needed to thrive as an internship computer science apprentice, and why are they important?

To thrive as an Internship Computer Science Apprentice, you need foundational programming skills, understanding of computer science principles, and current enrollment in or recent completion of a relevant degree program. Familiarity with programming languages (such as Python or Java), version control systems like Git, and exposure to software development environments are commonly expected. Strong problem-solving skills, eagerness to learn, and effective communication help apprentices contribute and grow in team settings. These abilities are crucial for adapting quickly, delivering value during the apprenticeship, and laying a solid foundation for a future career in tech.

What cities near Houston, TX are hiring for Internship Computer Science Apprenticeship jobs?

Cities near Houston, TX with the most Internship Computer Science Apprenticeship job openings:

Internship Computer Science Apprenticeship jobs near you
Infographic showing various Internship Computer Science Apprenticeship job openings in Houston, TX as of July 2026, with employment types broken down into 12% Internship, 82% Full Time, and 6% Part Time. Highlights an 82% In-person, 12% Hybrid, 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 26 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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