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Internship Computer Science Non Profit Jobs in Houston, TX

... 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 ...

Software Engineer - Intern (US)

Houston, TX · On-site

$4.5K - $5.8K/wk

... internship. Your Objectives: * Create technological tools that bring trading strategies to life ... Bachelor's, master's or PhD in computer science, computer engineering or related fields

... 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 ...

... 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 ...

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Internship Computer Science Non Profit information

See Houston, TX salary details

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How much do internship computer science non profit jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for internship computer science non profit 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 Internship Computer Science Non Profit vs Internship Software Developer?

AspectInternship Computer Science Non ProfitInternship Software Developer
Required CredentialsTypically pursuing CS degree or related courseworkTypically pursuing CS degree or related coursework
Work EnvironmentNon profit organizations, mission-driven settingsTech companies, startups, or corporate environments
Employer & Industry UsageNon profit sector, social impact projectsTechnology industry, software development projects
Search & Comparison IntentUnderstanding roles in non profit tech projectsExploring software development internship opportunities

Internship Computer Science Non Profit and Internship Software Developer both require similar technical skills and educational backgrounds. However, they differ mainly in work environment and industry focus. Non profit internships emphasize social impact and mission-driven projects, while software developer internships are typically within commercial tech companies focused on product development.

What are the most commonly searched types of Computer Science Non Profit jobs in Houston, TX?

The most popular types of Computer Science Non Profit jobs in Houston, TX are:

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

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

Infographic showing various Internship Computer Science Non Profit job openings in Houston, TX as of August 2026, with employment types broken down into 5% Internship, 84% Full Time, and 11% Temporary. Highlights an 100% In-person 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

Re-posted 4 hours 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.