Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Data Scientist

Kick It Out
City of London
2 days ago
Create job alert

Help Shape the Future of Football Through Data


The Football Association (The FA) is investing in advanced digital and data capabilities to transform how we engage with the game, from grassroots and development of home‑grown coaches to fan experience and business operations. As part of this transformation, we're expanding our team with ambitious, forward‑thinking professionals.


We're excited to offer a newly created opportunity for a Data Scientist to play a key role in delivering impactful, data‑driven solutions across the organisation.


As a Data Scientist at The FA, you'll be central to our data transformation, working across areas such as grassroots initiatives, coaching pathways, fan engagement, and operations.


From day one, you'll lead the development and deployment of data science solutions. You will collaborate with cross‑functional teams to build scalable systems, maintain robust data pipelines, and integrate machine learning models into real‑world applications that make a measurable impact.


Key Responsibilities

  • Apply machine learning and predictive modelling to optimise player development, grassroots participation, and tournament planning
  • Perform clustering and statistical analysis on historical performance data to identify tactical and developmental insights
  • Develop computer vision models (e.g. YOLO, TensorFlow, PyTorch) for match analysis, crowd monitoring, and event operations
  • Design and maintain robust data pipelines for structured and unstructured data using Microsoft Fabric and Azure Synapse
  • Build and deploy scalable machine learning models to solve real‑world challenges
  • Create dashboards and data visualisations using Power BI, matplotlib, and Plotly
  • Translate complex analytical findings into clear, actionable recommendations for both technical and non‑technical stakeholders
  • Collaborate with product managers, data engineers, and solution architects to align analytics with business goals
  • Support MLOps and FinOps practices for live services and resource planning
  • Execute additional tasks as required to meet the FA's changing priorities
  • Comply with all company policies and procedures to ensure the highest standards of health, safety, and well‑being
  • Complete a DBS check in line with legislation and government guidance

What Technical Skills You'll Bring

  • Python and R
  • Power BI, matplotlib, Plotly
  • Azure (RBAC, AAD, Blob Storage); experience with AWS or GCP is also valued
  • Strong foundation in statistics, modelling, and data wrangling
  • Scikit‑learn, TensorFlow, PyTorch

Soft Skills

  • Ability to translate business problems into analytical solutions
  • Confident communicator capable of presenting insights to non‑technical stakeholders
  • Effective team player who works well in cross‑functional environments
  • Analytical thinker with a proactive and solutions‑oriented mindset

What's in it for you?

We are committed to ensuring everyone can flourish in their roles, to achieve this we have unique office spaces under the arch of the iconic Wembley National Stadium, which is the home of English Football. We are also delighted to offer a world‑class, Elite Performance Centre, St. George's Park in Staffordshire which is an exceptional setting to develop and inspire high‑performing England teams and leaders.


Benefits

  • Access to event day tickets at Wembley Stadium, alongside a host of regular internal events throughout the season, encouraging you to connect and learn with your colleagues and look after your mental health and well‑being.
  • Free, nutritious lunches at Wembley Stadium and St. George's Park.
  • Free private medical cover.
  • A contributory pension scheme.
  • An additional 'Thank You' days leave, volunteering days as well as 25 days annual leave (based on a full‑time, permanent contract.)
  • A hybrid working model which offers greater flexibility.

Currently, we are working within a hybrid working model whereby the expectation is to work from your contractual location for part of the week, and as and when required by the team. The remaining days can be worked remotely. We will continue to monitor this model, and it may be adjusted in future if deemed necessary. The contractual location of this role can be found on the FA Careers page.


We are a diverse workplace, aspiring to represent football across the country. The Football Association actively promotes inclusion and diversity, encouraging you to be the best version of yourself at work. We welcome applications from everyone and are proud to be an equal opportunities employer. If you have any particular requirements in respect of the recruitment or interview process, please mention this during your application.


#J-18808-Ljbffr

Related Jobs

View all jobs

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist - Remote

Data Scientist - Tax & Legal

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.