We are looking for a Research Engineer to join our Data Analytics team, embedded directly with the Men’s First Team Analysis department, and play a key role in working with Analytics and Analysis colleagues to plan, implement, and deploy end-to-end internal products supporting the Men’s First Team.
In this exciting role, you'll be entrusted to work directly with a variety of colleagues across our club, such as Analysts and Coaching staff, on building data-driven applications and tooling for football analysis, driving the adoption of proprietary, state-of-the-art technology in coaching and analysis workflows, and identifying opportunities for furthering our applied research capabilities.
The role is accountable directly to the Head of Software & Analytics and Men’s First Team Head of Analysis to gather requirements from stakeholders at Sobha Realty Training Centre and collaborate with colleagues within the department to ensure appropriate prioritisation and delivery of relevant applications and tooling
We are one of the most famous clubs in world football, with a rich heritage and history of success – read more about our history, here.
Beyond that, we are passionate about our local community and, behind the scenes, we have a wide variety of opportunities and career paths for all. We have a very defined purpose: to act for a winning team, culture and community. We achieve this by ensuring we are courageous in the pursuit of progress, we champion our community and each other, and that we do the right thing (even when no one is looking).
We are committed to ensuring that our environments for children, young people and adults at risk remain safe and inclusive. We therefore require successful candidates to complete a DBS check and other essential background checks prior to starting their employment. Depending on the responsibilities of the role, a DBS will be either a basic, standard, or enhanced check.
Design and develop full-stack applications - you will collaborate with colleagues to design, develop, and maintain full-stack data-driven applications tailored for use by our club stakeholders, ensuring solutions are efficient, reliable, and scalable
Streamline critical processes - you'll help automate and streamline select football analysis tasks and processes using a combination of full-stack software engineering and applied ML
Collaborate with our Football Analysis department - you will work closely with Football Analysts to deeply understand their processes and proactively plan and implement technical solutions to augment, refine and improve those processes
Act as an applied AI specialist - you'll be a subject matter expert in the application of AI techniques in football analysis, driving and contributing to projects that sit at the intersection of the two domains
Maximise the impact of our applied research - you will be integral in helping us to maximise the impact of our applied research work by ensuring it is (a) grounded in concrete coaching/analysis needs, and (b) accounts for real-world football analysis constraints
Proven quantitative background - you hold an advanced qualification in a quantitative discipline (e.g., computer science, data science, mathematics, statistics, data visualisation), or a related field with proven expertise in building technical, data-driven solutions
Solid foundation in software engineering and machine learning principles - you've got the ability to reason from first principles about research ideas and engineering trade-offs, and you have a willingness to build working full-stack applications
Eye for design - you have the ability to design and critique the presentation of data-driven insights and interfaces
Engineering mindset - you have a track record of designing and developing scalable data-driven applications
Experience with key programming languages - you're well-versed in using Python, SQL, and JavaScript/TypeScript
PyData tech stack fluency - you are comfortable with numpy, Pandas/Polars, matplotlib/seaborn/Altair, and similar tooling
Excellent communicator - you communicate confidently and effectively with both technical and non-technical colleagues, and you're able to understand the requirements of stakeholders, with an ability to critically evaluate requests and project proposals
Adaptable and proactive approach - you can operate in a high-intensity environment and maintain some schedule flexibility, accommodating the need to collaborate with our Men's First Team staff on the training and matchday schedule when required
Highly independent and self-motivated individual - you're able to work independently and you thrive when you're in situations with ambiguity, where close collaboration with others is required to drive clarity
Experience with deep learning frameworks - you have worked with PyTorch, JAX, or TensorFlow
Knowledge of our game - you've got a good knowledge of and passion for football and are motivated to help our club win on and off the pitch
At Arsenal, we want everyone to feel a sense of trust and belonging, so we are proud of both our club values and also what we offer to our employees. As one of our Gunners, you will receive:
An exciting reward and recognition scheme
Generous holiday allowance which increases with your length of service
Great internal learning and development programmes
A flexible hybrid working model
Priority access to apply for match tickets
A competitive health and wellbeing benefits package
A leading Employee Assistance Programme
Great discounts with some of our Partners
An opportunity to play a vital role in delivering our ED&I strategy by joining one of our Employee Networks
Discover why ‘Our Gunners’ are proud to be part of our team - view their stories here.
Arsenal for Everyone is our commitment to promoting and embracing equality, diversity and inclusion, so that everyone connected to the club feels like they belong to the same Arsenal family. We believe that diversity of background, skills and experience drives our success on and off the pitch.
We are a Disability Confident Leader. We actively welcome and encourage applications from people with disabilities and long-term health conditions. If you need disability-related adjustments to the recruitment process, please indicate this in your application.
If you are likely to meet the definition of being a ‘disabled person’ according to the Equality Act 2010, you may be eligible to apply for an interview via the Disability Confident Scheme - please indicate this in your application form below. The information you share with us about your health or disability will not be used in recruitment decisions.
Please note: we reserve the right to close the position early if application volumes are particularly high. We encourage you to get your application in sooner rather than later.
Updates on the status of your application will be sent via email, please routinely check your spam and junk folders, as occasionally emails sent via the Teamtailor platform will find themselves there.
Good luck!
