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Data Science Startup Internship Jobs in Spring, TX

NOV, Inc.

Senior Data Scientist

Houston, TX · On-site

Lead data science initiatives that impact operations globally across multiple business units ... Manage and mentor interns, junior data scientists and analysts * Translate advanced analytics ...

Chevron

2026-2027 Earth Science Intern

Houston, TX · On-site +1

$10K/mo

... data scientists, and/or software developers. Earth Scientists develop technical skills in ... Interns will be provided guidance by a supervisor and a technical mentor. We encourage the ...

Chevron

2026-2027 Earth Scientist Full Time

Houston, TX

$108K - $140K/yr

What's Next After the Internship Topperforming interns may be invited back-or offered a fulltime ... Practical experience with geoscience coding, data science, and/or machine learning. Compensation ...

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All JobsData Science Startup JobsData Science Startup Internship JobsData Science Startup Internship Jobs in Spring, TX

Data Science Startup Internship information

See Spring, TX salary details

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How much do data science startup internship jobs pay per hour?

As of Aug 4, 2026, the average hourly pay for data science startup internship in Spring, TX is $20.03, according to ZipRecruiter salary data. Most workers in this role earn between $15.38 and $21.83 per hour, depending on experience, location, and employer.

What is a data science startup internship?

A Data Science Startup Internship is an opportunity to gain hands-on experience working with real-world data in a fast-paced startup environment. Interns typically assist with data collection, cleaning, analysis, and model development to support business decisions. Startups often provide a dynamic and collaborative atmosphere where interns can work on various tasks, from building machine learning models to developing data pipelines. This role allows interns to develop technical skills in programming, statistics, and data visualization while also gaining exposure to the entrepreneurial aspects of a startup.

What types of projects or tasks can I expect to work on during a data science startup internship?

As a Data Science Startup Intern, you can expect to work on a variety of tasks such as cleaning and analyzing datasets, building simple machine learning models, and developing data visualizations to support business decisions. You may also participate in brainstorming sessions, help automate reporting processes, or assist in designing experiments to test new product features. Given the fast-paced nature of startups, you’ll often have the opportunity to take ownership of small projects from start to finish, receiving guidance from senior team members along the way. This hands-on experience is ideal for building practical skills and gaining exposure to real-world data challenges.

What are the key skills and qualifications needed to thrive in a data science startup internship, and why are they important?

To succeed in a Data Science Startup Internship, candidates should have a solid understanding of statistics, programming (commonly in Python or R), and basic data analysis principles, usually supported by coursework in computer science, math, or a related field. Familiarity with data visualization tools like Tableau or Matplotlib, version control systems like Git, and experience with machine learning libraries are highly valued. Strong communication, adaptability, and problem-solving skills help interns collaborate effectively in the fast-paced and dynamic startup environment. These abilities are vital for making meaningful contributions to projects and thriving in a setting where roles and responsibilities often evolve quickly.

What are the most commonly searched types of Data Science Startup jobs in Spring, TX? The most popular types of Data Science Startup jobs in Spring, TX are:
What job categories do people searching Data Science Startup Internship jobs in Spring, TX look for? The top searched job categories for Data Science Startup Internship jobs in Spring, TX are:
What cities near Spring, TX are hiring for Data Science Startup Internship jobs? Cities near Spring, TX with the most Data Science Startup Internship job openings:
Data Science Startup Internship jobs near you
Infographic showing various Data Science Startup Internship job openings in Spring, TX as of June 2026, with employment types broken down into 100% Internship. Highlights an 60% In-person, and 40% Remote job distribution, with an average salary of $41,655 per year, or $20 per hour.

Data Science Machine Learning Internship (Summer 2027)

Castleton Commodities International LLC

Houston, TX

Full-time

Posted 14 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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