Dr. David Hoyle is a Research Data Science Specialist at dunnhumby, where he builds demand forecasting models and algorithms for grocery retailers worldwide. He has worked as a Data Scientist in the commercial sector for 15 years. Before that he was an Associate Professor in Bioinformatics and Machine Learning at the University of Manchester, UK, and at the University of Exeter, UK. He has a PhD in theoretical physics and continues to publish academic articles on various mathematical, statistical, machine learning, and AI topics. He also enjoys explaining mathematical and statistical concepts, showing how they are relevant to real-world problems and challenges, and so he regularly writes posts for his own blog and for dunnhumby. He is heavily involved with the UK Royal Statistical Society, acting as Data Science and AI board member for the society’s annual international conference. He has recently authored a book on mathematics for Data Science – “15 Math Concepts Every Data Scientist Should Know’’ – published by Packt.