Jyldyz Djumalieva is a Data Science Research Fellow at Nesta. She is leading on a stream of labour market research work for ESCoE (the Economic Statistics Centre of Excellence). Prior to joining Nesta Jyldyz was a Data Analyst at the Bank of England where she worked on projects involving text mining, social media analysis and graph databases. Jyldyz completed a MSc with distinction in Big Data Analytics from the Sheffield Hallam University and a MSc in Organisational Psychology from the University of Hartford, CT. As part of ESCoE, Jyldyz has created the first data-driven classification of skills in the UK that is publicly available. The classification was created by using a dataset of 41 million UK online job adverts and by applying machine learning methods, such as Natural Language Processing (NLP), document clustering, and distributed word representations. The resulting classification provides a consistent way of measuring skills shortages at a granular level, and provides the first link between skills and job titles which in turn could be used to improve careers advice.