England Insights Data Scientist (Elite Coach Development)

England Insights Data Scientist (Elite Coach Development)

Full-Time 40000 - 50000 £ / year (est.) Home office (partial)
Kick it Out

At a Glance

  • Tasks: Develop advanced analytical models to drive insights for elite coaching development.
  • Company: Join The FA, a leader in football innovation and development.
  • Benefits: Enjoy free lunches, event tickets, medical cover, and flexible working.
  • Other info: Work in iconic locations like Wembley Stadium and St. George’s Park.
  • Why this job: Make a real impact on the future of English football through data science.
  • Qualifications: Degree in a quantitative field and experience in data science required.

The predicted salary is between 40000 - 50000 £ per year.

Develop and inspire the next generation of sport & data professionals. The FA is excited to be recruiting an Insights Data Scientist (Elite Coaching Development) to join our Chief Football Officer. Reporting directly to the Elite Coach Developer, this role will support the progression of English home‑grown coaches.

The role will implement advanced analytical models to provide actionable insights, helping drive evidence‑based processes and decisions around elite coach development. Leveraging expertise in data science to design, train, and optimise models, working closely with various stakeholders to ensure cutting‑edge data‑driven insights are effectively communicated and utilised. Collaborate with the Game Insights team to strengthen resources across the entire learning landscape, with a primary focus on Elite Coaching and professional game qualifications. The role may also periodically support additional responsibilities in player selection, development and performance.

What will you be doing?

The Insights 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 Skillset
  • Play a leading role in the implementation of advanced statistical techniques and various modelling approaches to derive insights from football datasets, including event data, optical and broadcast tracking data, and GPS/performance data.
  • Optimise machine learning models, including both supervised and unsupervised learning methods.
  • Conduct rigorous hypothesis testing and validation to ensure the robustness of analytical findings.
  • Provide technical guidance and support to stakeholders to enhance their understanding and utilisation of data science tools.
  • Work closely with the Senior Data Architect and the Development Team to ensure seamless integration of analytics reporting and models.
  • Data Wrangling, EDA & Feature Engineering
  • Ensure the quality of data used for model development through meticulous data checking and cleaning practices.
  • Process and transform raw, unstructured data into usable formats for model training and analysis.
  • Develop and refine features from raw data to enhance the performance of predictive models.
  • Model Selection, Training & Tuning
  • Design and develop advanced statistical and machine learning models to analyse a broad set of football data, including event data, tracking data, and performance data.
  • Select appropriate algorithms and model architectures based on the problem context and data characteristics.
  • Train, validate, and tune models to achieve optimal performance.
  • Monitor and refine model performance over time to ensure continued accuracy and relevance.
  • Data Visualisation
  • Collaborate with key stakeholders to translate complex model outputs into actionable insights through impactful data visualisations.

Other

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. 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 bachelor’s or master’s degree or equivalent in a quantitative field (mathematics, statistics, computer/data science, etc.) or in sports science, sport management or a related field with demonstrable data science experience.
  • Experience in the fundamentals of data science, including but not limited to:
    • Data visualisation
    • Exploratory Data Analysis
    • Data Wrangling
    • Feature Engineering
    • Model Selection/Training/Tuning
  • Experience utilising data to drive insights related to football‑specific questions.
  • Highly skilled in advanced statistical and modelling techniques.
  • Experience with football‑specific datasets, including but not limited to event data, optical tracking data, broadcast tracking data, and GPS data.
  • Experience managing complex uncleansed datasets.
  • Advanced proficiency in statistical programming languages, especially Python and/or R, for data analysis.
  • Experience using cloud‑based computing environments (Google Cloud Platform / Google Big Query is advantageous), demonstrating proficiency in utilising cloud resources for data analytics and ensuring seamless integration of data pipelines and analytics platforms.
  • Demonstrable experience collaborating with both technical and non‑technical stakeholders on analytics projects.
  • Ability to be physically present at St. George’s Park.
  • Excellent written and verbal communication skills.

Beneficial To Have

  • Experience in a similar role in a professional football environment
  • Experience with Time‑Series Analysis & Forecasting
  • Experience with Bayesian inference/MCMC

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 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’ 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.

For more information on what it is like to work at The FA, please visit our FA Careers page. 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 the 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.

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.

England Insights Data Scientist (Elite Coach Development) employer: Kick it Out

The FA is an exceptional employer, offering a unique opportunity to work at the iconic Wembley National Stadium and the world-class Elite Performance Centre at St. George’s Park. With a strong commitment to employee well-being, we provide free nutritious lunches, private medical cover, and a hybrid working model that promotes flexibility. Our inclusive work culture fosters professional growth, allowing you to thrive while contributing to the development of elite coaching in English football.

Kick it Out

Contact Details:

Kick it Out Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land England Insights Data Scientist (Elite Coach Development)

Tip Number 1

Network like a pro! Reach out to people in the football and data science communities. Attend events, webinars, or even local meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.

Tip Number 2

Show off your skills! Create a portfolio showcasing your data science projects, especially those related to football. Use platforms like GitHub to share your code and visualisations. This gives potential employers a taste of what you can do.

Tip Number 3

Prepare for interviews by practising common data science questions and scenarios specific to football analytics. Think about how you would approach real-world problems they might face. This will help you stand out as someone who’s ready to hit the ground running.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in being part of our team at The FA. Let’s make it happen!

We think you need these skills to ace England Insights Data Scientist (Elite Coach Development)

Data Science
Advanced Statistical Techniques
Machine Learning
Hypothesis Testing
Data Wrangling
Exploratory Data Analysis (EDA)
Feature Engineering

Some tips for your application 🫡

Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience in data science, especially as it relates to football. We want to see how your skills align with the role of Insights Data Scientist, so don’t hold back on showcasing your relevant projects!

Show Off Your Data Skills:When detailing your experience, focus on specific data science techniques you've used, like exploratory data analysis or model tuning. We love seeing concrete examples of how you've applied these skills to drive insights, particularly in a sports context.

Communicate Clearly:Your written application should reflect your ability to communicate complex ideas simply. Use clear language and avoid jargon where possible. Remember, we’re looking for someone who can translate data into actionable insights for various stakeholders!

Apply Through Our Website:Don’t forget to submit your application through our official website! It’s the best way to ensure your application gets seen by the right people. Plus, you’ll find all the details you need about the role and our team there.

How to prepare for a job interview at Kick it Out

Know Your Data Science Inside Out

Make sure you brush up on your data science fundamentals, especially in areas like exploratory data analysis and feature engineering. Be ready to discuss specific projects where you've applied advanced statistical techniques or machine learning models, particularly in a football context.

Showcase Your Communication Skills

Since you'll be collaborating with both technical and non-technical stakeholders, practice explaining complex data insights in simple terms. Prepare examples of how you've successfully communicated findings in the past, perhaps through impactful data visualisations.

Familiarise Yourself with Football Datasets

Dive deep into the types of datasets mentioned in the job description, such as event data and GPS performance data. Being able to discuss your experience with these specific datasets will show that you're not just a data scientist, but one who understands the nuances of football analytics.

Prepare for Technical Questions

Expect to face technical questions related to model selection, training, and tuning. Brush up on your knowledge of algorithms and be prepared to discuss how you would approach a given problem using different modelling techniques. This will demonstrate your expertise and problem-solving skills.