ZipRecruiter

Log In

1

Football Data Analytics Internship Jobs (NOW HIRING)

SumerSports LLC

Sr. Football Data Scientist

Build and implement analytical football models, providing valuable insights to enhance our football analytics offerings. Conduct comprehensive data analysis to extract actionable insights. * Model ...

Bay Football Club

Head of Data & Analytics

San Jose, CA · On-site

$140K/yr

While our community is our foundation, our love of football is our reason for being. We have the ... Position Summary The Head of Data & Analytics will lead the execution and adoption of Bay FC's data ...

TrinityRail

Data Analytics Intern

Dallas, TX · On-site

Trinity Industry is looking for Data Analytics Interns for our office in Dallas, TX . This position will focus on building, deploying, and scaling agentic AI applications and automated workflows ...

Trinity Industries

Data Analytics Intern

Dallas, TX · On-site

Trinity Industry is looking for Data Analytics Interns for our office in Dallas, TX . This position will focus on building, deploying, and scaling agentic AI applications and automated workflows ...

TOGETHXR

Head of Data & Analytics

San Jose, CA · On-site

$126 - $154/hr

While our community is our foundation, our love of football is our reason for being. We have the ... Position Summary The Head of Data & Analytics will lead the execution and adoption of Bay FC's data ...

Bay FC

Head of Data & Analytics

San Jose, CA · On-site

The Head of Data & Analytics will lead the execution of the club's data strategy, overseeing the ... football philosophy and supports the broader game model. • Champion ongoing research and ...

ConnectPrep

Data Analyst Internship

Washington, DC · On-site +1

AI, data, and analytics work you will support * Work with AI tools and workflows to support data ... Prior internship or project experience in data analysis, business intelligence, or marketing ...

ConnectPrep

Data Analyst Internship

Washington, DC · Remote

AI, data, and analytics work you will support * Work with AI tools and workflows to support data ... Prior internship or project experience in data analysis, business intelligence, or marketing ...

next page

Showing results 1-20

All JobsFootball Data Analytics JobsFootball Data Analytics Internship Jobs

Football Data Analytics Internship information

See salary details

$12

$22

$42

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

As of Aug 11, 2026, the average hourly pay for football data analytics internship 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 a football data analytics internship?

A Football Data Analytics Internship is a temporary role where interns analyze football-related data to provide insights for teams, analysts, or organizations. Responsibilities may include data collection, statistical analysis, performance evaluation, and assisting with predictive modeling. Interns typically work with software like Python, R, Excel, and SQL to interpret data and present findings. This role helps interns gain practical experience in sports analytics, improving their technical and analytical skills.

What types of projects or daily tasks are typically assigned to football data analytics interns?

As a Football Data Analytics Intern, you can expect to work on tasks such as collecting and cleaning match data, conducting statistical analyses of player and team performance, and generating reports or visualizations for coaches and analysts. Interns often support ongoing research projects, contribute to scouting or tactical analyses, and may assist in developing predictive models. Collaboration with full-time analysts, coaches, and sometimes technical staff is common, providing valuable exposure to different areas of football operations. This variety of tasks helps interns develop both technical and applied skills relevant to a career in sports analytics.

What are the key skills and qualifications needed to thrive in the football data analytics internship position, and why are they important?

To thrive as a Football Data Analytics Intern, you need a solid understanding of statistics, data analysis, and football tactics, often demonstrated through coursework in data science, mathematics, or a related field. Experience with programming languages such as Python or R, familiarity with tools like Excel and Tableau, and knowledge of sports analytics software are commonly expected. Strong attention to detail, effective communication, and the ability to collaborate within a fast-paced team environment are highly valued soft skills. These abilities enable interns to extract actionable insights, clearly present findings, and contribute to data-driven decision-making within football organizations.

More about Football Data Analytics Internship jobs
What cities are hiring for Football Data Analytics Internship jobs? Cities with the most Football Data Analytics Internship job openings:
What are the most commonly searched types of Football Data Analytics jobs? The most popular types of Football Data Analytics jobs are:
What states have the most Football Data Analytics Internship jobs? States with the most job openings for Football Data Analytics Internship jobs include:
What job categories do people searching Football Data Analytics Internship jobs look for? The top searched job categories for Football Data Analytics Internship jobs are:
Football Data Analytics Internship jobs near you
Infographic showing various Football Data Analytics Internship job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $46,809 per year, or $22.5 per hour.

Sr. Football Data Scientist

SumerSports LLC

Remote

Full-time

Medical, Retirement

Re-posted 19 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

Apply