Senior Football Data Scientist

Manchester United
Manchester
1 day ago
Create job alert

Senior Football Data Scientist
Location: Carrington Training Complex
At Manchester United, we believe that excellence on the pitch starts with excellence off the pitch. Our team thrives in a high-performance environment, united by a shared passion for success. We aim to elevate the standard of performance through collaboration and continuous growth, creating a space where everyone can contribute their best to our common goals.

We work together at our iconic Manchester United offices, enabling connection and innovation as we look ahead to what we can achieve as a global football club. We are excited to bring in passionate people who share our vision and drive for success. 

The Role:
You’ll be part of the Data & AI Team, playing a key role in the club’s transformation into a fully data-driven organisation. The team delivers powerful insights, builds trusted data products, and operates modern data platforms that enable better decisions and success on and off the pitch.

We’re looking for a Senior Football Data Scientist to play a key part in this transformation. In this role, you’ll help building, developing and maintain models that generate value from football data. If you’re passionate about building the quantitative models to enable our football experts to make data-driven decisions, we’d love to hear from you.

Key Responsibilities:
As a Senior Football Data Scientist, you will:

Develop solutions using Data Science methods which contribute to solving football-related questions, across all of our teams: Men’s, Women’s and Academy, applied to recruitment, performance analysis, player development and football strategy. Apply a range of Data Science techniques as appropriate including Machine learning algorithmsStatistical and mathematical methodsSpatio-temporal modelling Build foundational football models and metrics (e.g. to capture a team’s underlying performance or a player’s skill, to predict future performance or understand how a player or team may behave under a different context). Collaborate with football experts to identify high-impact performance questions, translate them into a clear analytical framework and to communicate insights to enable data-informed decision making. Work closely in a multi-disciplinary data team to build and deploy well-documented models into an easily interpretable interface where scientific integrity is ensured. Execute, review and improve existing data pipelines and ML models. Own the full modelling workflow from data preparation and training to deployment and analysis. Work with cloud based tools (Azure and Databricks) to support model development and deployment.

The Person: Excellent mathematical and statistical knowledge, gained from a degree in a quantitative discipline, equivalent courses or demonstrable practical equivalent.Experience using programming languages to process and model large datasets.Demonstrable experience of applying data science techniques to sports data, such as Bayesian modelling, machine learning, predictive modelling and model validation and evaluation.Understanding of database technologies and software engineering principles including test-driven development, CI/CD, version control and working in a cloud-based infrastructure with data at scale.Ability to draw on knowledge of the tactical and technical aspects of football to explain outcomes and nuances of models to non-technical stakeholders.A growth mindset to actively seek feedback and continuous self-development as well as to positively impact the work of people around you.Diligent work ethic with flexibility to perform under pressure when neededA proactive mindset to come up with new ideas and solutions with a drive to innovate and continuously push our football analytics capabilities beyond the current state of the art.DesirableExperience researching and working with football data, including tracking data, event data, pose data. What We Offer:
At Manchester United, we recognise that our people are at the heart of our success. That’s why we offer a range of rewards designed to support your professional and personal well-being:Annual incentive schemeWellness Support with access to mental health resources, digital health checks, and & nutritionists through Aviva Digicare+ WorkplaceExclusive Discounts through our United Rewards platform, giving you access to exclusive deals from the club and partnersGym Facilities in our onsite locations and opportunities for regular social events and team-building activitiesEnhanced family Leave Benefits and an opportunity to purchase additional holiday daysEnhanced Career Development with access to professional learning platforms like LinkedIn Learning, and internal training programsA Supportive Work Environment that values diversity, equity and inclusion, and individual growth

Related Jobs

View all jobs

Data Scientist - Men's First Team

Senior Data Scientist

Senior Environmental Data Scientist/Hydrologist

Senior RF Data Scientist / Research Engineer

Senior RF Data Scientist / Research Engineer

Senior Machine Learning and AI Developer

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 Job Ad That Attracts the Right People

Artificial intelligence is now embedded across almost every sector of the UK economy. From fintech and healthcare to retail, defence and climate tech, organisations are competing for AI talent at an unprecedented pace. Yet despite the volume of AI job adverts online, many employers struggle to attract the right candidates. Roles are flooded with unsuitable applications, while highly capable AI professionals scroll past adverts that feel vague, inflated or disconnected from reality. In most cases, the issue isn’t a shortage of AI talent — it’s the quality of the job advert. Writing an effective AI job ad requires more care than traditional tech hiring. AI professionals are analytical, sceptical of hype and highly selective about where they apply. A poorly written advert doesn’t just fail to convert — it actively damages your credibility. This guide explains how to write an AI job ad that attracts the right people, filters out mismatches and positions your organisation as a serious employer in the AI space.

Maths for AI Jobs: The Only Topics You Actually Need (& How to Learn Them)

If you are a software engineer, data scientist or analyst looking to move into AI or you are a UK undergraduate or postgraduate in computer science, maths, engineering or a related subject applying for AI roles, the maths can feel like the biggest barrier. Job descriptions say “strong maths” or “solid fundamentals” but rarely spell out what that means day to day. The good news is you do not need a full maths degree worth of theory to start applying. For most UK roles like Machine Learning Engineer, AI Engineer, Data Scientist, Applied Scientist, NLP Engineer or Computer Vision Engineer, the maths you actually use again & again is concentrated in a handful of topics: Linear algebra essentials Probability & statistics for uncertainty & evaluation Calculus essentials for gradients & backprop Optimisation basics for training & tuning A small amount of discrete maths for practical reasoning This guide turns vague requirements into a clear checklist, a 6-week learning plan & portfolio projects that prove you can translate maths into working code.

Neurodiversity in AI Careers: Turning Different Thinking into a Superpower

The AI industry moves quickly, breaks rules & rewards people who see the world differently. That makes it a natural home for many neurodivergent people – including those with ADHD, autism & dyslexia. If you’re neurodivergent & considering a career in artificial intelligence, you might have been told your brain is “too much”, “too scattered” or “too different” for a technical field. In reality, many of the strengths that come with ADHD, autism & dyslexia map beautifully onto AI work – from spotting patterns in data to creative problem-solving & deep focus. This guide is written for AI job seekers in the UK. We’ll explore: What neurodiversity means in an AI context How ADHD, autism & dyslexia strengths match specific AI roles Practical workplace adjustments you can ask for under UK law How to talk about your neurodivergence during applications & interviews By the end, you’ll have a clearer picture of where you might thrive in AI – & how to set yourself up for success.