Data Scientist (Football Analytics)

Job DescriptionData Scientist (Football Analytics) (one day a week in the central London office)​​​​OverviewThis role is a unique opportunity to combine technical challenges with creativity in a collaborative, high-standard work environment. By joining this team, you’ll not only be part of a creative and open work culture focused on innovation and excellence but also have the chance to work with and collaborate with some of the most well-known footballers in the industry.This position offers significant opportunities for professional growth within sports analytics and the potential to impact sports performance through advanced technology, making it an ideal setting for those passionate about leveraging cutting-edge technology to make meaningful contributions in the world of sports analytics.Ideal for those eager to blend their passion for sports with cutting-edge technology, aiming to make significant contributions in sports analytics. If you’re a detail-oriented innovator and team player, we’re excited to hear from you.Responsibilities for the role of Data Scientist will include:Collect, clean, and process football-related data from various sources.Develop and implement statistical models and algorithms to analyze player performance and match outcomes.Create detailed reports and visualizations to communicate insights and recommendations to technical and non-technical stakeholders.Collaborate with football analysts, coaches, and other stakeholders to understand their needs and provide actionable insights.Stay updated with the latest trends and advancements in sports analytics and data science.As the selected Data Scientist, you background should include:Bachelors or Masters degree in Data Science, Statistics, Mathematics, Computer Science, or a related field.Essential - Proven experience in data science within the sports industry.Strong programming skills in Python.Experience with data visualization tools like Tableau, Power BI, or similar.Knowledge of football tactics, strategies, and player performance metrics.Excellent problem-solving skills and attention to detail.Strong communication skills with the ability to explain complex data insights to non-technical stakeholders.Please note: even if you dont have exactly the background indicated, do contact us now if this type of job is of interest - we may well have similar opportunities that you would be suited to. And of course, we always get your permission before submitting your CV to a company.