Data Scientist (Consultant)

We are looking for a Data Scientist for AWFC on a consultant basis to help elevate the Women’s game through cutting-edge analytics.

This is a unique opportunity to contribute to the strategic growth of Women's football at Arsenal by adapting proven methodologies, addressing key performance gaps, and pioneering bespoke research initiatives.

We are one of the most famous clubs in world football, with a rich heritage and history of success – read more about our history, here.

Beyond that, we are passionate about our local community and, behind the scenes, we have a wide variety of opportunities and career paths for all. We have a very defined purpose: to act for a winning team, culture and community. We achieve this by ensuring we are courageous in the pursuit of progress, we champion our community and each other, and that we do the right thing (even when no one is looking).

• Deliver impactful insights – you’ll deliver data insights and tools in collaboration with the Data Analytics team
• Drive strategic collaboration – you will identify and complete strategic analytics projects addressing key gaps in AWFC match reporting, opposition analysis, individual player development and player profiling
• Data acquisition & preparation – you’ll collect, clean, and analyse large-scale football data, including event data, tracking data, and video data
• Build performance models – you will develop statistical and machine learning models to evaluate player and team performance
• Design effective interfaces – you will design and implement dashboards and reports for AWFC technical staff and executives
• Turn data into football intelligence – you’ll collaborate with performance analysts and coaching staff to translate data into football-specific insights, creating new concepts based on event and tracking data
• Uphold professional standards – you will maintain discretion, integrity, and respect in all interactions, fostering a positive and collaborative working environment

• Applied data science expertise – you bring proven experience in data science, ideally within a sports environment
• Precision with data – you are skilled in statistical modelling, machine learning, and data visualisation, with proven experience in Python and SQL
• Insight-driven mindset – you\'re comfortable working with complex datasets and translating raw information into clear, actionable insights that inform decision-making
• Collaborative communicator – you are a team player who communicates clearly, respectfully, and effectively across technical and non-technical audiences
• Passion for progress – you\'re driven by a genuine commitment to advancing Women’s football through innovation, creativity, and evidence-based thinking

Arsenal for Everyone is our commitment to promoting and embracing equality, diversity and inclusion, so that everyone connected to the club feels like they belong to the same Arsenal family. We believe that diversity of background, skills and experience drives our success on and off the pitch.

We are a Disability Confident Leader. We actively welcome and encourage applications from people with disabilities and long-term health conditions. If you need disability-related adjustments to the recruitment process, please indicate this in your application.

If you are likely to meet the definition of being a ‘disabled person’ according to the Equality Act 2010, you may be eligible to apply for an interview via the Disability Confident Scheme - please indicate this in your application form below. The information you share with us about your health or disability will not be used in recruitment decisions.

We are committed to ensuring that our environments for children, young people and adults at risk remain safe and inclusive. We therefore require successful candidates to complete a DBS check and other essential background checks prior to starting their employment. Depending on the responsibilities of the role, a DBS will be either a basic, standard, or enhanced check.

Please note: we reserve the right to close the position early if application volumes are particularly high. We encourage you to get your application in sooner rather than later.

Good luck!