Research & Development Data Scientist The Football Association in Burton upon Trent

Research & Development Data Scientist The Football Association in Burton upon Trent

Burton upon Trent Full-Time 63000 - 77000 £ / year (est.) Home office (partial)
K

At a Glance

  • Tasks: Design and build advanced statistical and machine learning models for England football teams.
  • Company: Join The Football Association, a leader in sports innovation and inclusivity.
  • Benefits: Competitive salary, free lunches, event tickets, and hybrid working model.
  • Other info: Work in iconic locations like Wembley Stadium and St. George's Park.
  • Why this job: Make a real impact in football while developing your data science skills.
  • Qualifications: Master's degree in a quantitative field; experience with data science and football datasets preferred.

The predicted salary is between 63000 - 77000 £ per year.

  • National Football Centre, St George's Park
  • Unite the Game and Inspire the Nation through Winning England Teams

The FA is excited to be recruiting a Research & Development Data Scientist who will play a key role within the Research & Development function of the Insights team.

The primary focus of this role is to design and build world-leading statistical and machine learning models that provide a competitive advantage to England teams.

The successful candidate will develop innovative methodologies to model diverse aspects of international football and deliver actionable insights to a wide range of stakeholders.

Leveraging their technical expertise, the Research & Development Data Scientist will design, train and validate statistical and machine learning models, working closely with stakeholders to ensure cutting-edge, data-driven insights are effectively communicated and embedded into decision-making.

What will you be doing?

The Research & Development Data Scientist will play a pivotal role in creating and implementing advanced analytical models to provide actionable insights and empower informed decision-making.

Data Science Research

  • Play a leading role in designing and implementing world-leading statistical and machine learning models, drawing insight from football datasets including event data, optical and broadcast tracking data, and GPS/performance data.
  • Creatively apply advanced techniques across a range of problems, using the freedom to experiment with many different approaches on long-term projects to provide genuinely novel solutions.
  • Research emerging methods across statistics, ML/AI, and adjacent fields to evaluate their applicability to football modelling.
  • Effectively utilise AI coding agents and tooling to accelerate the speed of development.
  • Maintain high standards of statistical rigour, ensuring any findings that are communicated to stakeholders have been appropriately validated.
  • Monitor model performance over time, refining where necessary to ensure continued accuracy and relevance.
  • Contribute to a culture of peer review within the team, offering and welcoming constructive feedback to improve the quality and rigour of modelling work.
  • Work closely with the Senior Data Architect and Development Team to ensure seamless integration of analytics reporting and models.
  • Work within our existing cloud infrastructure, writing pipelines where appropriate to allow others in the wider Insights team to access key model outputs.
  • Ensure model development and testing is well-documented, with code written to a professional standard.
  • Collaborate with key stakeholders to translate complex model outputs into actionable insights through impactful data visualisations.
  • Add to our existing web apps to deploy these visualisations and allow stakeholders to explore model outputs.
  • Provide technical guidance and support to stakeholders to enhance their understanding and utilisation of these tools.

Other

  • Executes 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 can be maintained.
  • As part of the FA's commitment to ensuring a safe environment for everyone in football, every employee will be required to complete a DBS check.

The level of the check required will be based on the activity of the specific job role and in line with legislation and government guidance.

What are we looking for?

Essential for the role

  • A Master's degree in a highly quantitative field (mathematics/statistics/computer science, etc.). A Ph D is desirable but not essential.
  • Strong theoretical grounding in statistics and machine learning, with the ability to engage with the methodology behind advanced data science techniques.
  • Ability to critically evaluate contemporary academic literature.
  • Practical data science experience, using real-world data to provide actionable insights.

Experience with football-specific datasets (e. g. event data or tracking data) is strongly desirable but not essential.

  • Proficiency in a programming language suited to statistical modelling (Python preferred)
  • Ability to be physically present at St. George's Park.
  • Excellent written and verbal communication skills.

Beneficial to have

  • Evidence of exceptional academic ability (for example, a strong record of achievement from a leading university)
  • Experience working within an elite football environment.
  • Experience with AI coding agents (e. g. Claude Code, Codex)
  • Experience using cloud-based computing environments (Google Cloud Platform is especially advantageous).
  • Experience with Git Hub for working on collaborative coding projects.
  • Demonstrable experience collaborating with both technical and non-technical stakeholders on analytics projects.
  • Experience developing web applications (React is especially advantageous)

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.

We pride ourselves on offering a competitive salary as well as great opportunities to develop and grow in your role.

But that is not all; we also have a range of exciting benefits, some of which can be found below:

  • Access to event day tickets at Wembley Stadium, alongside a host of regular internal events throughout the season, encourages 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.
  • Private medical cover funded by The FA.
  • A contributory pension scheme.
  • An additional 'Thank You' day's leave, volunteering days, as well as 25 days of annual leave (based on a full-time, permanent contract)
  • A hybrid working model offering 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

Research & Development Data Scientist The Football Association in Burton upon Trent employer: Kick It Out

Brighton & Hove Albion FC is an exceptional employer, offering a vibrant work culture that thrives on collaboration and innovation. As a Marketing Lead, you'll have the opportunity to drive impactful marketing strategies in a dynamic environment, with access to professional development and growth opportunities within the sports and hospitality sectors. Located in the heart of Brighton, you’ll enjoy a unique blend of work-life balance and the excitement of being part of a renowned football club.

K

Contact Details:

Kick It Out Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Research & Development Data Scientist The Football Association in Burton upon Trent

Get Involved in Data Science Meetups

Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Kick It Out!

Show Off Your Projects

Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Research & Development Data Scientist The Football Association at Kick It Out.

Leverage Professional Networks

Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Kick It Out.

Apply Directly through Our Website

When you find a suitable opening like Research & Development Data Scientist The Football Association at Kick It Out, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Research & Development Data Scientist The Football Association in Burton upon Trent

Statistical Modelling
Machine Learning
Data Analysis
Python
Cloud Computing
AI Coding Agents
Data Visualisation

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

Craft a Tailored Cover Letter:For a full-time role at Kick It Out, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Kick It Out. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at Kick It Out

Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

Showcase Your Projects

Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Kick It Out!

Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.