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Internship Football Data Science Jobs (NOW HIRING)

SumerSports is a leading football intelligence technology company that specializes in providing an ... Experience: 4+ years of experience in data science, preferably in a sports analytics environment ...

Bachelor's Degree in Computer Science, Data Science or similar major * Minimum of 1 year of experience in football data analysis * Deep knowledge of football, basketball or baseball; including roster ...

Internship Salary: To Be Determined by the Agency Posting Closing Date: 06/30/2026 Data Science Internship State of Florida Opportunities are located throughout Florida Internship Overview and ...

Internship Salary: To Be Determined by the Agency Posting Closing Date: 06/30/2026 Data Science Internship State of Florida Opportunities are located throughout Florida Internship Overview and ...

Internship Salary: To Be Determined by the Agency Posting Closing Date: 06/30/2026 Data Science Internship State of Florida Opportunities are located throughout Florida Internship Overview and ...

Internship Salary: To Be Determined by the Agency Posting Closing Date: 06/30/2026 Data Science Internship State of Florida Opportunities are located throughout Florida Internship Overview and ...

Internship Salary: To Be Determined by the Agency Posting Closing Date: 06/30/2026 Data Science Internship State of Florida Opportunities are located throughout Florida Internship Overview and ...

Internship Salary: To Be Determined by the Agency Posting Closing Date: 06/30/2026 Data Science Internship State of Florida Opportunities are located throughout Florida Internship Overview and ...

Internship Salary: To Be Determined by the Agency Posting Closing Date: 06/30/2026 Data Science Internship State of Florida Opportunities are located throughout Florida Internship Overview and ...

Internship Salary: To Be Determined by the Agency Posting Closing Date: 06/30/2026 Data Science Internship State of Florida Opportunities are located throughout Florida Internship Overview and ...

Internship Salary: To Be Determined by the Agency Posting Closing Date: 06/30/2026 Data Science Internship State of Florida Opportunities are located throughout Florida Internship Overview and ...

Internship Salary: To Be Determined by the Agency Posting Closing Date: 06/30/2026 Data Science Internship State of Florida Opportunities are located throughout Florida Internship Overview and ...

Internship Salary: To Be Determined by the Agency Posting Closing Date: 06/30/2026 Data Science Internship State of Florida Opportunities are located throughout Florida Internship Overview and ...

Internship Salary: To Be Determined by the Agency Posting Closing Date: 06/30/2026 Data Science Internship State of Florida Opportunities are located throughout Florida Internship Overview and ...

Internship Salary: To Be Determined by the Agency Posting Closing Date: 06/30/2026 Data Science Internship State of Florida Opportunities are located throughout Florida Internship Overview and ...

Internship Salary: To Be Determined by the Agency Posting Closing Date: 06/30/2026 Data Science Internship State of Florida Opportunities are located throughout Florida Internship Overview and ...

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Internship Football Data Science information

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

As of May 31, 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 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 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 Internship Football Data Science positions?

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 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? Cities with the most Internship Football Data Science job openings:
What are the most commonly searched types of Football Data Science jobs? The most popular types of Football Data Science jobs are:
What states have the most Internship Football Data Science jobs? States with the most job openings for Internship Football Data Science jobs include:

Full-time

Medical, Retirement

Posted 7 days ago


Job description

SumerSports is a leading football intelligence technology company that specializes in providing an innovative suite of products for football fans and NFL clubs. We are a collection of executives, engineers, data scientists, and visionaries from NFL clubs, technology startups, finance, and academia.
Our data-driven platform empowers teams with insights and tools to make informed decisions within salary cap constraints. The platform also serves the NCAA, offering insights around the transfer portal and more.
What sets us apart is our unique blend of big tech talent, data scientists, and former NFL personnel, who have a combined 600+ years of NFL experience. Our domain knowledge is augmented by AI and machine learning technologies to create a unique view into many aspects of Football.
We are seeking a motivated and skilled Senior Data Scientist to join our analytics team. You will be responsible for building, deploying, and refining a variety of football-focused analytical models, working with complex real-world datasets. You'll collaborate closely with other data scientists and engineers, ensuring our analytical products are accurate, robust, and impactful. The ideal candidate will demonstrate both strong technical skills and a proactive mindset, capable of independently taking projects from concept to deployment.
Responsibilities
  • Model Development and Analysis: Build and implement analytical football models, providing valuable insights to enhance our football analytics offerings. Conduct comprehensive data analysis to extract actionable insights.
  • Model Productionization: Ensure seamless deployment of machine learning and statistical models using Python, Databricks, and Spark. You will work on converting existing R models to Python as part of your initial responsibilities.
  • Large Dataset Management: Handle large datasets efficiently using Spark and Databricks, ensuring data integrity and performance optimization.
  • Collaboration: Work closely with other data scientists, analysts, and stakeholders to understand their needs and deliver high-quality analytical solutions.
  • Innovation: Identify and implement new tools, techniques, and best practices to enhance our data analytics capabilities.

Qualifications
Education: Advanced degree (Masters or PhD) in a quantitative discipline, or equivalent professional experience.
Experience: 4+ years of experience in data science, preferably in a sports analytics environment. (level commensurate with experience)
Technical Skills:
  • Proficiency in Python and experience with Databricks.
  • Strong programming skills in Python, including experience deploying models beyond exploratory notebooks.
  • Documented experience in football analytics, demonstrated through industry experience, public content, or
    significant independent projects. Examples would include working for an NFL or NCAA analytics department, working for a third party analytics provider, achievement in events such as the Big Data Bowl, or original football analytics Github repos.
  • Solid foundation in statistical modeling and machine learning methodologies.
  • Proven ability to independently identify and resolve data-related challenges in real-world datasets.
  • Effective communication skills, with experience explaining technical concepts clearly

Benefits
  • Competitive Salary and Bonus Plan
  • Comprehensive health insurance plan
  • Retirement savings plan (401k) with company match
  • Remote working environment
  • A flexible, unlimited time off policy
  • Generous paid holiday schedule - 13 in total including Monday after the Super Bowl