Jeremy Bradley

Jeremy Bradley has a diverse work experience in various fields, including data science, research, and academia. Jeremy is currently working as the Chief Data Scientist at Datasparq, where they apply cutting-edge research in Data Science to develop impactful products. Jeremy also collaborates with universities to create case studies and solve complex industrial problems. Previously, they worked as a Data Science Evangelist at DataCafé, focusing on creating podcasts that highlight the impact of Data Science in academia and industry. Jeremy has also held advisory roles at UK Research and Innovation and EPSRC, where they contributed their expertise in the circular economy and mathematical sciences. Before that, they worked at Royal Mail as both a Principal Data Scientist and Lead Data Scientist, where they developed strategies, executed projects, and built partnerships with universities. Jeremy brings extensive experience in data analysis and optimization from their time at Tesco PLC as a Lead Data Scientist. Jeremy has also had a successful academic career at Imperial College London, where they held positions ranging from Reader to Lecturer, focusing on scalable quantitative analysis, research, teaching, and administrative responsibilities. Additionally, they worked as a Research Assistant at Durham University, contributing to research projects.

Jeremy Bradley has a strong academic background in computer science and mathematics. Jeremy pursued their Bachelor of Arts (BA Hons) in Mathematics from the University of Cambridge, graduating in 1994. Jeremy then went on to complete their Master of Science (MSc) in Computer Science at the University of Bristol between 1994 and 1995. Jeremy continued their studies at the University of Bristol and obtained their Doctor of Philosophy (PhD) in Computer Science, specializing in Stochastic Process Modelling, from 1996 to 1999.