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Internship Football Data Science Jobs (NOW HIRING)

Fervo Energy

Data Science Internship

Houston, TX · On-site

Description Internship Overview You won't be running coffee orders or shuffling paperwork this ... As a Data Scientist Intern, you'll join Fervo's Data Science team to help build models and analyses ...

Fervo Energy Company

Data Science Internship

Houston, TX · On-site

Internship Overview You won't be running coffee orders or shuffling paperwork this summer. At Fervo ... As a Data Scientist Intern, you'll join Fervo's Data Science team to help build models and analyses ...

Unchain Data

Data Science Intern

San Francisco, CA · On-site

$50/hr

Expect to get together quarterly for intense in-person working sessions called "surges." The Role This is a 12-week internship during summer 2027. As a Data Science Intern on the Strategy, Execution ...

New

Unchain Data

$50/hr

Expect to get together quarterly for intense in-person working sessions called "surges." The Role This is a 12-week internship during summer 2027. As a Data Science Intern on the Strategy, Execution ...

New

Athena LLC

Interns leave with a strong understanding of industry-standard data science practices and potential references for your career.

Allied Solutions LLC

Data Science Intern

Carmel, IN · On-site

The Allied Solutions internship program is a robust and consistent internship program for rising ... The Data Science Intern will join the Data Intelligence team and gain hands-on experience applying ...

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

As of Sep 12, 2026, the average hourly pay for internship football data science in the United States is $22.50, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $24.52 per hour, depending on experience, location, and employer.

What is an internship football data science?

Internship Football Data Science positions are temporary roles designed for students or early-career professionals interested in applying data science techniques to football (soccer) analytics. Interns in these roles assist with collecting, processing, and analyzing football data to derive insights that can help teams with performance analysis, scouting, and strategy. Typical tasks include working with large datasets, using statistical models, and creating visualizations to inform coaching staff or management. These internships provide valuable hands-on experience and can lead to full-time opportunities in sports analytics.

What types of projects or tasks can I expect to work on during an internship in football data science?

As a Football Data Science intern, you'll typically assist with tasks like collecting, cleaning, and analyzing match or player data using tools such as Python or R. You may contribute to building statistical models to evaluate player performance or team tactics, and create data visualizations to help coaching staff make informed decisions. Collaboration is common with analysts, coaches, and sometimes software developers, offering a broad view of how data-driven insights impact real-time football decisions. This hands-on experience builds both technical and communication skills, preparing you for future roles in sports analytics.

What are the key skills and qualifications needed to thrive as an internship football data science, and why are they important?

To thrive as an Internship Football Data Science, you need a solid background in statistics, data analysis, and programming (often with a degree in mathematics, computer science, or related fields). Familiarity with technical tools such as Python, R, SQL, and data visualization platforms, as well as experience with sports analytics software, is typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help you interpret complex data and present actionable insights to coaches and analysts. These competencies enable interns to contribute meaningful analysis that can inform strategies and improve team performance.

What is the difference between Internship Football Data Science vs Football Data Analyst?

AspectInternship Football Data ScienceFootball Data Analyst
Required CredentialsRelevant coursework, basic programming skillsDegree in data science, statistics, or related field
Work EnvironmentInternship setting, entry-level projectsFull-time or part-time professional role
Employer & Industry UsageSports teams, analytics startups, research projectsProfessional sports organizations, clubs, analytics firms
Search & Comparison IntentEntry-level roles, internships, learning opportunitiesCareer advancement, professional data analysis roles

Internship Football Data Science positions are entry-level opportunities focused on learning and supporting data projects in football. In contrast, Football Data Analysts are professional roles requiring more experience and specialized skills, responsible for analyzing and interpreting football data to inform decisions.

What cities are hiring for Internship Football Data Science jobs?

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What are the most commonly searched types of Football Data Science jobs?

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Internship Football Data Science jobs near you

Data Science Internship

Houston, TX • On-site

Fervo Energy
Clean Energy Semiconductors Manufacturing • 11 - 50 employees
Learn more about Fervo Energyexternal

Full-time, Internship

Posted 7 days ago

Job description

Description

Internship Overview 


You won't be running coffee orders or shuffling paperwork this summer. At Fervo, interns are handed something real: a project of your own, scoped with your manager on day one and yours to drive for the full 12 weeks. You'll work side-by-side with the teams building the next generation of geothermal energy, tackling problems that genuinely move the business forward. At the end of the summer, you'll present your work to our executive leadership team, department leads, and fellow interns, sharing real results with a real audience. This is a real seat at the table - and a real shot at what comes next. 


Position Description


Fervo Energy is developing next-generation geothermal power to deliver firm, carbon-free energy at scale, anchored by our flagship Cape Station development in Milford, Utah. As a Data Scientist Intern, you'll join Fervo's Data Science team to help build models and analyses that turn data into decisions across the business. 

You'll work alongside engineers and data scientists to explore datasets, build predictive models, and translate findings into insights that inform real decisions across drilling, operations, and commercial teams. 

Requirements

 Responsibilities 

  • Explore and analyze datasets to identify trends and opportunities 
  • Build and validate predictive models and statistical analyses 
  • Support development of machine learning models for real-world business problems 
  • Communicate findings and recommendations to technical and non-technical stakeholders 

Required Qualifications 

  • Master's or PhD candidate wrapping up within the next year - we're building a pipeline toward full-time offers 
  • Pursuing a degree in Data Science, Statistics, Computer Science, or a related quantitative field 
  • Strong written and verbal communication skills, including comfort presenting to stakeholders and leadership 
  • Eagerness to learn, take initiative, and adapt quickly to new challenges 
  • Proficiency in Python and common data science libraries (e.g., Pandas, NumPy, Scikit-learn) 

Preferred Qualifications 

  • Experience with machine learning frameworks (e.g., PyTorch, TensorFlow) 
  • Familiarity with SQL and data visualization tools 
  • Interest in applying data science to energy or industrial problems 

Apply