Paul Broughton

Chief Data Scientist at Scottish Enterprise

Paul Broughton has a diverse work experience in the field of data science and statistical analysis. Paul currently serves as the Chief Data Scientist at Scottish Enterprise, where they use the Azure platform for data modeling and wrangling. Prior to this, they worked as a Data Scientist at CitNOW Video for four years.

Paul also has experience as a Data Analyst at the University of Dundee, where they conducted research on healthcare improvement for diabetes patients using R and Python. Additionally, they founded their own company, Owl Research Ltd, and provided statistical consultancy and behavioral research services to universities, government departments, and safety camera partnerships.

Paul has worked as a Lecturer in Statistics at Cranfield University, teaching applied statistical methods to postgraduate students, and also held a temporary lecturer position at the University of Stirling within the computing department. Paul has taught various modules including general computing, ethics, and Bayesian probability.

Furthermore, they worked as a lecturer for Kaplan (China), where they taught statistics, research methods, and ICT. Paul has also worked as a Research Associate in Road Safety at the University of Glasgow and as a GIS Consultant, using GIS software for transport research at the University of Stirling. Lastly, Paul worked as a Product Development Manager at Vianet.

Paul Broughton has a diverse education history. Paul obtained a PhD in Transport Psychology from Edinburgh Napier University between 2004 and 2007. Prior to that, they completed an M.Phil. in Bio-medical Engineering (Software Engineering) at the University of Sussex from 1995 to 1999. Paul began their educational journey by earning an ONC/HNC degree in Electrical and Electronic Engineering from Somerset College of Art and Technology, which they attended from 1980 to 1985. Additionally, they hold a certification in Information Governance from SHIP, although the details regarding its completion are not provided.

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Timeline

  • Chief Data Scientist

    May, 2019 - present

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