Swim England to enrol 30 apprentices on upskilling programmes in the next year
Swim England, the national governing body for swimming in England, has partnered with Multiverse to launch a new data and AI skills programme for its employees. The initiative aims to empower Swim England staff with the expertise needed to supercharge its mission of great experiences for all involved in aquatics and has been supported by an apprenticeship levy transfer from Amazon.
Beginning with an initial pilot, Swim England plans to enrol 30 apprentices onto Multiverse programmes over the next year. This investment in data and AI literacy will enable Swim England to better analyse participation trends, optimise programme delivery, and measure the impact of its initiatives.
Training programmes will include AI-Powered Productivity, AI for Business Value and Data and Insights for Business Decisions. The resulting data and AI skills will play a key role in Swim England’s digital transformation journey, empowering staff to make data-driven decisions, streamline processes, and reduce manual administrative tasks.
Training is being delivered by Multiverse, a tech company that identifies, closes and prevents skills gaps, through personalised, on-the-job learning. Multiverse has trained more than 20,000 apprentices in AI, data and digital skills since 2016.
Maria Papadopoulos, People Director at Swim England said: “Data is crucial to understanding how we can best lead and serve our aquatics community and grow swimming participation. This partnership with Multiverse will equip our team with the skills to use data and AI effectively, ensuring we can make informed decisions and maximise our impact.”
Gary Eimerman, Chief Learning Officer at Multiverse,said: "By investing in skills, Swim England is empowering its employees to drive innovation and make a real difference in the health and engagement of communities across the country."
Multiverse combines work and learning to unlock economic opportunity for everyone. It works with more than 1,500 organisations to close critical skill gaps in the workforce in AI, data and technology.
