John Clarke
About John Clarke
John Clarke is a Data Scientist at Nationwide Building Society in Swindon, United Kingdom, where he has worked since 2002. He specializes in analyses that support multi-channel retail, leveraging his expertise in spatial epidemiology and geographical information systems.
Work at Nationwide Building Society
John Clarke has served as a Data Scientist at Nationwide Building Society since 2002, contributing to the organization for 22 years. Based in Swindon, United Kingdom, he operates within the Location Planning department. His role involves providing analyses that support multi-channel retail strategies, which include branch network planning and market potential calculations. His work aims to enhance the competitive edge of the business in the financial retail sector.
Education and Expertise
John Clarke has a strong educational background in geography and data analysis. He studied at the University of Liverpool from 1992 to 1996, focusing on Spatial Epidemiology of Psychiatric Illness. Prior to that, he earned a Master of Science (M.Sc.) in Geographical Information Systems from the University of Edinburgh in 1992. He also holds a Bachelor of Science (B.Sc.) in Geography and Economics from Lancaster University, which he completed in 1991. His educational foundation supports his expertise in data science and location planning.
Technical Skills and Tools
In his role as a Data Scientist, John Clarke utilizes various technical tools to perform his analyses. He is proficient in SQL Server, SPSS, and ArcGIS, which he employs to design, develop, and implement statistical models. These tools enable him to analyze data effectively and provide insights that inform strategic decisions within the Nationwide Building Society.
Background
John Clarke's educational journey began at Bristol Cathedral School, where he studied from 1980 to 1987. His academic path led him to Lancaster University, the University of Edinburgh, and the University of Liverpool, where he developed a strong foundation in geography, economics, and data analysis. This background has shaped his career in data science, particularly in the financial retail sector.