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Weekend Computer Science Internships Jobs in Texas

City of Denton Internship

Denton, TX

$15.75 - $20.50/hr

Why Students Love This Internship: Real responsibilities that make an impact Mentorship from ... Computer Science, Computer Information Systems Engineering, Construction Management, Civil ...

We offer day, evening, and weekend classes. Classes are offered at various times and locations ... Master's degree in computer science, computer information systems, computer information technology ...

Bachelor's degree in Computer Science, Electrical Engineering or related fields and 3-5 years of ... every stage - from internship to retirement and through life's most important moments. Our ...

Bachelor's degree in Computer Science, Electrical Engineering or related fields and 3-5 years of ... every stage - from internship to retirement and through life's most important moments. Our ...

... Computer Science, Engineering, Statistics, Mathematics, or a related quantitative discipline. * Strong academic record and/or relevant internship, project, or research experience in finance ...

Computer Science * Information Technology * Artificial Intelligence * Machine Learning * Data ... AI/ML internships, research, or university projects * GitHub/portfolio demonstrating practical AI ...

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Weekend Computer Science Internships information

What is the difference between Weekend Computer Science Internships vs Part-Time Software Developer?

AspectWeekend Computer Science InternshipsPart-Time Software Developer
Required CredentialsTypically students or recent graduates, some internships may require coursework in CSUsually experienced developers, often with a degree or proven coding skills
Work EnvironmentInternship programs, often in tech companies or startups, with mentorshipProfessional work setting, often remote or in-office, with ongoing project responsibilities
Employer & Industry UsageCommon in tech, startups, and corporate internship programsWidely used across tech companies, freelance, and part-time roles

Weekend Computer Science Internships are typically short-term, educational opportunities for students to gain industry experience during weekends. In contrast, Part-Time Software Developers are more experienced professionals working on ongoing projects, often with more responsibilities and longer commitments. Both roles involve coding and technical skills but differ mainly in experience level, work setting, and purpose.

What are the most commonly searched types of Computer Science Internships jobs in Texas?

The most popular types of Computer Science Internships jobs in Texas are:

What cities in Texas are hiring for Weekend Computer Science Internships jobs?

Cities in Texas with the most Weekend Computer Science Internships job openings:

Data Science Machine Learning Internship (Summer 2027)

Castleton Commodities International LLC

Houston, TX

Full-time

Re-posted yesterday


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.