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Soccer Data Analytics Internship Jobs (NOW HIRING)

Company Description Swish Analytics is a sports analytics, betting and fantasy startup building the ... Swish Analytics is looking for a Soccer Data Scientists to join our ever-growing team! Data Science ...

Company Description Swish Analytics is a sports analytics, betting and fantasy startup building the ... Swish Analytics is looking for a Soccer Data Scientists to join our ever-growing team! Data Science ...

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 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 ...

Bay FC is the first NWSL team in the Bay Area, co-founded by legends of women's soccer. The Head of Data & Analytics will lead the execution of the club's data strategy, overseeing the use and ...

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 ...

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 ...

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 ...

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Soccer Data Analytics Internship information

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

As of Aug 3, 2026, the average hourly pay for soccer 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 are the key skills and qualifications needed to thrive in the Soccer Data Analytics Internship position, and why are they important?

To thrive as a Soccer Data Analytics Intern, you need a solid grounding in statistics, data analysis, and a keen interest in soccer, typically supported by coursework in mathematics, data science, or sports analytics. Familiarity with tools such as Python, R, SQL, and specialized analytics platforms like Tableau or Sportscode is highly beneficial. Strong attention to detail, effective communication, and the ability to work collaboratively are vital soft skills in this internship. These abilities ensure that interns can extract actionable insights from complex data, present findings clearly, and contribute meaningfully to team projects in the dynamic world of sports analytics.

What is a Soccer Data Analytics Internship job?

A Soccer Data Analytics Internship is a temporary position where interns analyze soccer-related data to extract insights for teams, analysts, or organizations. Responsibilities may include collecting match statistics, creating visualizations, and using data modeling techniques to assess player and team performance. Interns typically work with software like Python, R, SQL, or Excel and may collaborate with coaches or scouts to inform decision-making. This role helps aspiring analysts gain hands-on experience in sports analytics, improving their technical and statistical skills.

What types of projects or tasks can I expect to work on during a Soccer Data Analytics Internship?

As a Soccer Data Analytics Intern, you'll typically assist in gathering, cleaning, and analyzing match and player data to help the team make data-driven decisions. Projects may include building performance dashboards, conducting player comparison analyses, and preparing reports for coaching staff or scouting departments. You’ll also have opportunities to collaborate with experienced analysts and may participate in meetings where you're encouraged to share your insights. This role offers valuable hands-on experience with real-world data and the chance to see how your work impacts player development and match strategies.

More about Soccer Data Analytics Internship jobs
What cities are hiring for Soccer Data Analytics Internship jobs? Cities with the most Soccer Data Analytics Internship job openings:
What are the most commonly searched types of Soccer Data Analytics jobs? The most popular types of Soccer Data Analytics jobs are:
What states have the most Soccer Data Analytics Internship jobs? States with the most job openings for Soccer Data Analytics Internship jobs include:
Infographic showing various Soccer Data Analytics Internship job openings in the United States as of July 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.

Soccer Data Scientist

Swish Analytics

San Francisco, CA • On-site, Remote

$130K/yr

Full-time

Re-posted 16 days ago


Job description

Company Description
Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products. We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting expertise; not intuition. We're looking for team-oriented individuals with an authentic passion for accurate and predictive real-time data who can execute in a fast-paced, creative, and continually-evolving environment without sacrificing technical excellence. Our challenges are unique, so we hope you are comfortable in uncharted territory and passionate about building systems to support products across a variety of industries and consumer/enterprise clients.
Job Description
Swish Analytics is looking for a Soccer Data Scientists to join our ever-growing team! Data Science is at the core of our business, so this team has true ownership and impact over developing core components of Swish's data products. This position is remote from the USA.
Duties:
  • Ideate, develop and improve machine learning and statistical models that drive Swish's core algorithms for producing state-of-the-art sports betting products.
  • Develop contextualized feature sets using sports specific domain knowledge.
  • Contribute to all stages of model development, from creating proof-of-concepts and beta testing, to partnering with data engineering and product teams to deploy new models.
  • Strive to constantly improve model performance using insights from rigorous offline and online experimentation.
  • Analyze results and outputs to assess model performance and identify model weaknesses for directing development efforts.
  • Adhere to software engineering best practices and contribute to shared code repositories.
  • Document modeling work and present to stakeholders and other technical and non-technical partners.

Requirements:
  • Masters degree in Data Analytics, Data Science, Computer Science or related technical subject area
  • Demonstrated experience developing models at production scale for Soccer, or sports betting for 2+ years
  • Expertise in Probability Theory, Machine Learning, Inferential Statistics, Bayesian Statistics, Markov Chain Monte Carlo methods
  • 5+ years of demonstrated experience developing and delivering effective machine learning and/or statistical models to serve business needs in sports or sports betting
  • Experience with relational SQL & Python
  • Experience with source control tools such as GitHub and related CI/CD processes
  • Experience working in AWS environments etc
  • Proven track record of strong leadership skills. Has shown ability to partner with teams in solving complex problems by taking a broad perspective to identify innovative solutions
  • Excellent communication skills to both technical and non-technical audiences

Base Salary: Starting at $130,000
Swish Analytics is an Equal Opportunity Employer. All candidates who meet the qualifications will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, pregnancy status, genetic, military, veteran status, marital status, or any other characteristic protected by law. The position responsibilities are not limited to the responsibilities outlined above and are subject to change. At the employer's discretion, this position may require successful completion of background and reference checks.
Department Data Science Role Soccer Team Locations San Francisco, CA - Remote Remote status Fully Remote