Job Description
Data Scientist (Football Analytics) (one day a week in the central London office) 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. 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. 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: Bachelor's or Master's 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. Strong communication skills with the ability to explain complex data insights to non-technical stakeholders.