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Data Science Internship No Experience Jobs in Spring, TX

Varsity Tutors

Data Science Tutor

Houston, TX · Remote

$18 - $40/hr

... Data Science tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... No commuting required. * Get matched with students best-suited to your teaching style and expertise.

Chevron

2026-2027 Earth Science Intern

Houston, TX · On-site +1

$10K/mo

Interns will be provided guidance by a supervisor and a technical mentor. We encourage the ... Practical experience with geoscience coding, data science, and/or machine learning. Why Intern at ...

WorkNovas LLC

Senior Data Scientist

Houston, TX · On-site

... science projects. • Broad experience and knowledge in Statistics, Machine Learning and data engineering. • Awareness of issues in statistics and dependence on data quality • A practical ...

Innotech

Data Scientist

Houston, TX

$12K - $78K/yr

Seven or more years of experience in data science * Proficiency with data mining, mathematics, and statistical analysis * Advanced experience in pattern recognition and predictive modeling

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All JobsData Science JobsData Science Internship No Experience JobsData Science Internship No Experience Jobs in Spring, TX

Data Science Internship No Experience information

See Spring, TX salary details

$10

$20

$37

How much do data science internship no experience jobs pay per hour?

As of Jul 27, 2026, the average hourly pay for data science internship no experience 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 are the key skills and qualifications needed to thrive in the Data Science Internship No Experience position, and why are they important?

To thrive as a Data Science Intern with no prior experience, you should have a foundational understanding of statistics, basic programming skills (especially in Python or R), and an eagerness to learn. Familiarity with tools like Excel, Jupyter Notebook, and introductory data visualization libraries is beneficial, while online certifications (such as Coursera or DataCamp courses) can strengthen your application. Strong analytical thinking, effective communication, and a collaborative attitude are valuable soft skills. These competencies allow you to contribute to data projects, understand stakeholder needs, and grow quickly in a supportive learning environment.

What is a Data Science Internship No Experience job?

A Data Science Internship with no experience is an entry-level opportunity for students or beginners to gain hands-on exposure to data science tasks. These roles typically involve working with datasets, performing basic data analysis, and assisting with machine learning models under the guidance of experienced professionals. Employers usually look for candidates with knowledge of Python, SQL, and data visualization, even if they have no prior work experience. The goal of the internship is to build practical skills and gain industry experience for future career opportunities.

What types of projects and tasks do Data Science Interns with no experience typically work on?

Data Science Interns with no prior experience often support project teams by assisting with data cleaning, performing exploratory data analysis, and creating basic visualizations to communicate findings. You may be tasked with writing simple scripts, formatting datasets, and helping prepare reports or presentations for internal stakeholders. Most internships also provide mentorship, allowing you to observe and contribute to more complex machine learning or analytics projects as your skills develop. This hands-on exposure helps you gain practical experience, build your portfolio, and better understand how data science teams operate in real-world settings.

What are popular job titles related to Data Science Internship No Experience jobs in Spring, TX? For Data Science Internship No Experience jobs in Spring, TX, the most frequently searched job titles are:
What job categories do people searching Data Science Internship No Experience jobs in Spring, TX look for? The top searched job categories for Data Science Internship No Experience jobs in Spring, TX are:
What cities near Spring, TX are hiring for Data Science Internship No Experience jobs? Cities near Spring, TX with the most Data Science Internship No Experience job openings:
Data Science Internship No Experience jobs near you
Infographic showing various Data Science Internship No Experience job openings in Spring, TX as of July 2026, with employment types broken down into 11% Internship, 67% Full Time, 11% Part Time, and 11% Temporary. Highlights an 78% In-person, and 22% Remote job distribution, with an average salary of $41,655 per year, or $20 per hour.
Data Science Machine Learning Internship (Summer 2027)

Data Science Machine Learning Internship (Summer 2027)

Castleton Commodities International LLC

Houston, TX

Full-time

Posted 5 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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