Since graduating with a master’s degree in mathematics from the University of Exeter in 2020, Jack has spent the last two years completing an apprenticeship in data science with Larsen and Toubro Infotech (LTI). During this time, the learning was focused on natural language processing and machine learning and using these, he developed numerous features for LTI’s products. These include regression test optimisation, correlation services and the creation of a search engine.
Jack supports the team in the creation of end-to-end data lineage models for Bank of New York Mellon’s liquidity reports, specifically the FR2052A, LCR Trend and NSFR Trend reports.
In his free time, Jack enjoys playing darts and snooker, he is also a season ticket holder at Chelsea and goes to every home game (and some away!) with his father.