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Computer Science Fashion Internship Jobs in Houston, TX

INEOS

IT Systems - Internship

League City, TX · On-site

$12.75 - $17.25/hr

Job title IT Systems Internship Location Marina View Office - League City, TX Organizational ... Bachelor of Science in Information Technology (BSIT), Bachelor of Science in Computer Science (BSCS ...

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Computer Science Fashion Internship information

What is a computer science fashion internship?

A Computer Science Fashion Internship is a temporary position that allows students or recent graduates to apply their computing and programming skills within the fashion industry. Interns may work on projects involving fashion technology, such as developing software for virtual fitting rooms, designing e-commerce platforms, or using data analysis to predict fashion trends. This type of internship helps bridge the gap between technology and fashion, offering hands-on experience with innovative tools and methods. It's a great opportunity to learn how computer science can be used in creative and commercial aspects of the fashion world.

What does a computer science fashion intern do?

Computer science interns in the fashion industry often work on projects that blend technology with design, such as developing algorithms for trend forecasting, optimizing e-commerce platforms, or supporting virtual fitting room applications. They usually collaborate closely with design, marketing, and data analytics teams to solve real-world problems and enhance digital solutions. The work environment is typically fast-paced and innovative, offering interns a chance to learn about both software development and the unique challenges of fashion retail. This cross-functional exposure helps interns build both technical and industry-specific skills, which can open doors to future roles in tech-driven fashion companies.

What skills and qualifications are needed to thrive as a computer science fashion intern?

To thrive as a Computer Science Fashion Intern, you need a solid understanding of programming (such as Python or Java), data analysis, and a foundational knowledge of fashion industry trends, often supported by coursework in computer science or a related field. Familiarity with design software (like Adobe Creative Suite), data visualization tools, and version control systems (such as Git) is typically required. Creativity, strong communication, and adaptability are essential soft skills for collaborating across technical and creative teams. These competencies enable interns to contribute innovative tech-driven solutions that enhance fashion design, production, or marketing processes.

What is the difference between Computer Science Fashion Internship vs Fashion Design Internship?

AspectComputer Science Fashion InternshipFashion Design Internship
Required CredentialsRelevant computer science coursework, coding skillsDesign portfolio, fashion coursework
Work EnvironmentTech-focused, office or studio settingDesign studio, fashion house
Industry UsageTechnology-driven fashion companies, e-commerceClothing brands, fashion houses
Search & Comparison IntentTech and fashion intersection rolesFashion design roles

The Computer Science Fashion Internship focuses on applying coding and tech skills within the fashion industry, often involving e-commerce, data analysis, or software development. In contrast, a Fashion Design Internship emphasizes creative design, sketching, and garment construction. Both internships are valuable for careers in fashion but target different skill sets and work environments.

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For Computer Science Fashion Internship jobs in Houston, TX, the most frequently searched job titles are:

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The top searched job categories for Computer Science Fashion Internship jobs in Houston, TX are:

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

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

Computer Science Fashion Internship jobs near you
Infographic showing various Computer Science Fashion Internship job openings in Houston, TX as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, 2% Contract, and 1% Nights. Highlights an 79% Physical, 2% Hybrid, and 19% Remote job distribution.

Data Science Machine Learning Internship (Summer 2027)

Houston, TX

Castleton Commodities International LLC
Oil and Gas Extraction • 501 - 1,000 employees
Learn more about Castleton Commodities International LLCexternal

Full-time

Re-posted 6 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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