06-15, 13:45–14:30 (Europe/London), Warwick
Matt will be discussing the variety of data available to the BBC and many of the projects that the Data Science team have worked on. The BBC's digital products data presents exciting opportunities for working with huge volumes of data and helps the BBC to tailor its products and services to its users. However, this data over-represents already engaged audiences and existing content. To identify opportunities outside of its current offering to meet the needs of under served audiences the team have also worked on a range of projects using national representative survey and panel data.
To identify opportunities outside of its current offering to meet the needs of under served audiences the team have also worked on a range of projects using national representative survey and panel data.
No previous knowledge expected
Matt joined the BBC as a Data Scientist in 2018 after spending several years as a post-doc modelling cloud microphysics in weather and climate systems. During the pandemic he developed an adaptive learning algorithm for BBC Bitesize to help GCSE students to revise while schools were closed. He spent 2021 working as the Experimentation Lead at the survey company Typeform - developing and scaling their experimentation capabilities. Since returning to the BBC, Matt has been focusing on marketing projects and causal inference and is currently using python and data to create personalised marketing assets for BBC iPlayer.