Our Story

Established in 2013, City Football Group is the world’s leading private owner and operator of football clubs, with total or partial ownership of thirteen clubs across the world. City Football Group also invests in other football related businesses and serves as a global commercial platform for our partners, whilst fulfilling our purpose of empowering better lives through football on a local and global scale, consistent with what “City” football has meant to people for over a century.

Our Winning Team

Our purpose is to empower better lives through football. We are proud of the role City Football Group clubs play in their localities, delivering positive economic, social and environmental impact through our operations and through programmes and activities that bring about meaningful, lasting change.

At City Football Group, our Football Intelligence (FI) team are continuing to evolve and enhance the impact of data-derived insights on the decision-making across our football clubs. Through our continued investment in data science, machine learning and simulation we are testing and refining footballing principles and building solutions that enable key stakeholders and performance practitioners to make better decisions faster.

This role will work collaboratively within the Football Data team on key data science projects to evaluate the technical, tactical, and physical performance of CFG teams and their opponents to support pre- and post-match analysis. Within these projects, the successful candidate will explore data to identify robust patterns, extract important features, make predictions and communicate their findings in a clear manner to a range of audiences.

Alongside strong technical skills, this role requires an individual with insatiable curiosity, imagination and creativity to come up with ideas to tackle football performance challenges and has the drive and discipline to learn and develop new skills.

City Football Group is a flexible work environment. While this position is based in Manchester, partial remote working is permitted.  

This is Your City

As part of our team, you will be entitled to 26 days annual leave plus an additional day off for your birthday, private healthcare and dental cover, an annual discretionary bonus, plus a range of partnership and lifestyle discounts.

Your Impact

1. Working in the Football Intelligence team alongside other CFG Data Scientists and Engineers to research & build data science solutions that will support our teams across CFG.


2. Develop and improve statistical and machine learning models for evaluating team and player technical, tactical and physical performance. .


3. Communicate data-driven insights to football practitioners, performance analysts, sports scientists and senior management.


4. Play a supporting role within the FI team in advancing our simulation & reinforcement learning environments.

What we are looking for

Essential

• Undergraduate degree (1st, 2:1, or equivalent) in a quantitative discipline (maths, statistics, physics or computer science).


• Experience in designing and training statistical models, time series analysis and numerical simulation.


• Highly proficient coding in python (including pandas and numpy), and prior experience working with SQL databases.


• Excellent communicator, including in presenting technical results to a non-technical audience.


• Ability to work in an agile manner suited to the innovative and fast-paced nature of the football industry.

Desirable

• Evidence of working with and deriving actionable insights from football data either as a hobby or within previous employment.