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Freelance Football Data Science Jobs (NOW HIRING)

As a key member of the data science team at Southampton FC (SFC), based at Staplewood Training ... You will also be collaborating with football club staff to understand technical and tactical ...

New

Data Scientist

Manhattan, NY · On-site

$72K - $109K/yr

... Data Science practice. Qualifications We're looking for relevant academic, research or work ... Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan ...

Data Science | Fine Tuning | Hybrid search | Information Retrieval | Knowledge graphs * Dash | Data ... Flexible schedule | Freelance opportunities | Part-time hours | Project based work * Part-time ...

Senior Data Scientist

Chicago, IL · On-site

$89 - $127/hr

We're looking for rigorous analytic training and 3+ years professional experience in a data science ... Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan ...

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Freelance Football Data Science information

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$14

$47

$132

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

As of Aug 15, 2026, the average hourly pay for freelance football data science in the United States is $47.71, according to ZipRecruiter salary data. Most workers in this role earn between $24.28 and $61.78 per hour, depending on experience, location, and employer.

What are some common challenges faced by freelance football data scientists when working with clubs or sports organizations?

Freelance football data scientists often encounter challenges such as gaining access to high-quality, comprehensive datasets and aligning their analysis with the unique goals of each client. Communication can also be demanding, as explaining complex insights to coaches or executives with varying levels of statistical understanding is crucial. Additionally, balancing multiple projects and managing expectations around deadlines and deliverables requires strong organizational skills. Building trust and credibility as an external consultant is essential for long-term collaborations.

What is the difference between Freelance Football Data Science vs Freelance Sports Data Analyst?

AspectFreelance Football Data ScienceFreelance Sports Data Analyst
CredentialsBackground in data science, statistics, or related fields; familiarity with football analyticsBackground in sports management, statistics, or data analysis; broader sports knowledge
Work EnvironmentProject-based, remote or freelance; focused on football-specific dataProject-based, remote or freelance; covers various sports including football
Industry UsageUsed mainly by football clubs, analytics firms, and media outletsUsed by sports teams, broadcasters, and research firms across multiple sports

Freelance Football Data Science specializes in football-specific data analysis, requiring expertise in football metrics and data science. In contrast, Freelance Sports Data Analysts work across multiple sports, applying broader sports analytics skills. Both roles are freelance, project-based, and often remote, but differ mainly in their focus and industry application.

What is freelance football data science?

Freelance football data science involves independent professionals who analyze football-related data to provide insights on player performance, match strategies, recruitment, and more. These freelancers use statistical techniques, machine learning, and data visualization tools to help clubs, agencies, media, or betting companies make informed decisions. Unlike full-time staff, freelance football data scientists work on a project-by-project basis, offering flexibility and specialized expertise. They often collect, clean, and interpret large datasets from matches, tracking systems, or public databases to deliver actionable recommendations.

What are the key skills and qualifications needed to thrive as a freelance football data scientist?

To thrive as a Freelance Football Data Scientist, you need a strong background in statistics, programming (such as Python or R), and a solid understanding of football analytics, often supported by a degree in data science, mathematics, or a related field. Familiarity with data visualization tools (e.g., Tableau), machine learning frameworks, and football-specific data providers like Opta or Wyscout is typically expected. Strong communication, problem-solving skills, and the ability to translate complex data insights into actionable recommendations set top performers apart. These skills are crucial for delivering valuable, client-focused insights that inform player evaluation, match analysis, and strategic decision-making in a highly competitive sports industry.
More about Freelance Football Data Science jobs

What cities are hiring for Freelance Football Data Science jobs?

Cities with the most Freelance 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 Freelance Football Data Science jobs?

States with the most job openings for Freelance Football Data Science jobs include:

Infographic showing various Freelance Football Data Science job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $99,230 per year, or $47.7 per hour.

Full-time

Medical, Retirement

Posted 2 days ago

New


Job description

Be part of our journey...

Location: Staplewood Training Ground

Hours: Full Time

Contract Type: Permanent

Criminal Record Check: DBS Enhanced with Child's Barred List

What is the role?

As a key member of the data science team at Southampton FC (SFC), based at Staplewood Training Ground, you will be involved in a diverse range of analysis tasks and research projects to provide data insights.

This includes working on player recruitment, team and opposition performance analysis, sports science physical testing, injury prevention, player pathways and academy player development. Our investments in other sports technology companies will allow you to work with other cutting-edge data products. You will also provide data support to the other clubs in the Sport Republic group (Goztepe and Valenciennes).

This is a unique opportunity to work closely with sporting directors, coaches and other football staff across multiple different clubs and see your work have a direct influence on decision making on and off the pitch.

What will you be doing?

You will be responsible for maintaining and developing automated pipelines to process data and create metrics efficiently as well as building advanced predictive models to measure and classify player and team performance. In addition to this, you will be liaising with data engineers on the cleansing and ingestion of various data sources into our databases and you will be required to possess the ability to present and explain your findings to diverse audiences across all of our clubs.

You will also be collaborating with football club staff to understand technical and tactical concepts and translate them into metrics. Additionally, you will be conducting your own research to answer a variety of football questions, creating visual apps, dashboards and documents to share your insights with stakeholders and by following your own curiosity by carrying out your own research projects in a way that benefits our clubs.

You will stay at the forefront of technological advancement and data companies/providers and have a strong understanding of how to utilise AI, ensuring SFC are using the appropriate AI tools/systems across all delivery and taking responsibility for all AI projects.

Is this you?

To be successful in this role you will have an undergraduate degree (or a postgraduate degree is desirable) in Mathematics, Statistics, Computer Science or other STEM field with experience in building a variety of statistical models and/or ML algorithms as well as a strong understanding of statistical computer programming languages (R or Python).

You will need to have the ability to use data visualisation software (Power BI or Tableau) and professional experience managing data pipelines (experience with football data desirable), be an excellent communicator (ability to speak multiple languages is an advantage) who can present effectively to audiences with varying levels of data literacy.

Previous experience within a professional football club is desirable however with a passion for football and a strong understanding of football tactics applications from other areas will be considered.

You must have UK Right to Work and be able to work at our Staplewood Campus daily.

How this benefits you...

If you are successful, you can look forward to;

  • Access to 2 free match tickets for every home league game
  • Access to our staff Health & Wellbeing initiatives (Mental & Physical Health).
  • Discounted Southampton Football Club merchandise.
  • 25 days' holiday per year excluding bank holidays plus your birthday off each year.
  • Contributory Pension Scheme.
  • Worldwide Travel Insurance for you and your family.
  • Learning & Development opportunities - supporting you to develop your potential and achieve in your career.
  • Free onsite parking.
  • Cycle to Work Scheme.
  • Collaborative & inclusive working culture.

How can I apply?

Just click on the apply button below, enter your details and answer a quick pre-screening questionnaire, then attach your CV.

The closing date for applications is 26 August 2026.

*We reserve the right to close this vacancy early, if a high volume of applicants are received.*

We are committed to safeguarding and promoting the welfare of children, young people and adults at risk and we expect everyone to share this commitment. You will be required to adhere to all relevant policies and uphold the Club's commitment to safeguarding children, young people and adults at risk and to ensure that Southampton Football Club is free from discrimination and harassment.

The post holder will demonstrate a strong commitment to equality, diversity, and inclusion, supporting the organisation's strategic aims to remove barriers and address inequality. You will play an active role in promoting an inclusive, discrimination-free environment that ensures fair access to opportunities and resources. This includes fostering a culture of dignity, respect, and belonging where everyone is empowered to contribute, perform, and reach their full potential.