At a Glance
- Tasks: Analyse data to provide insights on player recruitment and performance at Southampton FC.
- Company: Join the dynamic team at Southampton FC, a leading football club.
- Benefits: Enjoy free match tickets, health initiatives, and 25 days holiday plus your birthday off.
- Other info: Collaborative culture focused on equality, diversity, and inclusion.
- Why this job: Make a real impact in football by using data to influence key decisions.
- Qualifications: Degree in STEM, experience with statistical models, and strong communication skills required.
The predicted salary is between 29700 - 36300 £ per year.
Be part of our journey at Southampton FC (SFC), based at Staplewood Training Ground. As a key member of the data science team, you will be involved in a diverse range of analysis tasks and research projects to provide data insights. This includes working on player recruitment, team and opposition performance analysis, sports science physical testing, injury prevention, player pathways, and academy player development.
You will also provide data support to the other clubs in the Sport Republic group (Goztepe and Valenciennes). This is a unique opportunity to work closely with sporting directors, coaches, and other football staff across multiple different clubs and see your work have a direct influence on decision making on and off the pitch.
What will you be doing?
- Maintaining and developing automated pipelines to process data and create metrics efficiently.
- Building advanced predictive models to measure and classify player and team performance.
- Liaising with data engineers on the cleansing and ingestion of various data sources into our databases.
- Presenting and explaining findings to diverse audiences across all of our clubs.
- Collaborating with football club staff to understand technical and tactical concepts and translate them into metrics.
- Conducting your own research to answer a variety of football questions.
- Creating visual apps, dashboards, and documents to share insights with stakeholders.
- Staying at the forefront of technological advancement and data companies/providers.
- Utilising AI tools/systems across all delivery and taking responsibility for all AI projects.
Is this you?
To be successful in this role, you will have an undergraduate degree (or a postgraduate degree is desirable) in Mathematics, Statistics, Computer Science or other STEM field with experience in building a variety of statistical models and/or ML algorithms as well as a strong understanding of statistical computer programming languages (R or Python). You will need to have the ability to use data visualisation software (Power BI or Tableau) and professional experience managing data pipelines (experience with football data desirable).
You must be an excellent communicator who can present effectively to audiences with varying levels of data literacy. Previous experience within a professional football club is desirable; however, a passion for football and a strong understanding of football tactics applications from other areas will be considered. You must have UK Right to Work and be able to work at our Staplewood Campus daily.
How this benefits you...
- Access to 2 free match tickets for every home league game.
- Access to our staff Health & Wellbeing initiatives (Mental & Physical Health).
- Discounted Southampton Football Club merchandise.
- 25 days' holiday per year excluding bank holidays plus your birthday off each year.
- Contributory Pension Scheme.
- Worldwide Travel Insurance for you and your family.
- Learning & Development opportunities - supporting you to develop your potential and achieve in your career.
- Free onsite parking.
- Cycle to Work Scheme.
- Collaborative & inclusive working culture.
We are committed to safeguarding and promoting the welfare of children, young people, and adults at risk and we expect everyone to share this commitment. You will be required to adhere to all relevant policies and uphold the Club's commitment to safeguarding children, young people, and adults at risk and to ensure that Southampton Football Club is free from discrimination and harassment. The post holder will demonstrate a strong commitment to equality, diversity, and inclusion, supporting the organisation's strategic aims to remove barriers and address inequality. You will play an active role in promoting an inclusive, discrimination-free environment that ensures fair access to opportunities and resources.
Data Scientist in Southampton employer: saintsfc
Southampton FC is an exceptional employer, offering a unique opportunity for Data Scientists to work at the forefront of sports analytics at our Staplewood Training Ground. With a collaborative and inclusive culture, employees benefit from extensive learning and development opportunities, generous holiday allowances, and access to health and wellbeing initiatives, all while contributing to meaningful projects that directly influence football performance and player development.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist in Southampton
✨Get Involved in Data Science Meetups
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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 saintsfc.
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We think you need these skills to ace Data Scientist in Southampton
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 saintsfc, 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 saintsfc. 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 saintsfc
✨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 saintsfc!
✨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.
