Paul Elliott
About Paul Elliott
Paul Elliott serves as the Head of Data Science at Marshmallow, where he has worked since 2023. He has a diverse background in data science and academia, with previous roles at York University, Telefónica Chile, and McKinsey & Company.
Work at Marshmallow
Paul Elliott currently serves as the Head of Data Science at Marshmallow, a position he has held since 2023. Prior to this role, he worked as the Lead Data Scientist from 2020 to 2022 and as the Data Science Manager from 2022 to 2023. His tenure at Marshmallow spans over three years, during which he has contributed to the company's data science initiatives and strategies in London, England.
Education and Expertise
Paul Elliott studied at the University of Exeter, where he obtained a Bachelor of Science (BSc) in Physics from 2009 to 2012 and later completed his Doctor of Philosophy (Ph.D.) in Physics from 2012 to 2016. His academic background is complemented by his experience in both academic and industry settings, particularly in data science roles across various organizations.
Background
Paul Elliott has a diverse professional background, having worked in multiple countries including Canada, Chile, and the UK. He began his career with a student placement at the European Southern Observatory in 2011 and later participated in an IAESTE training placement in Croatia in 2012. His international experience includes roles at Telefónica Chile and McKinsey & Company in Santiago, where he worked as a Data Scientist and Senior Data Scientist, respectively.
Previous Positions
Before his current role at Marshmallow, Paul Elliott held various positions that contributed to his expertise in data science. He worked as a Data Scientist at Telefónica Chile from 2017 to 2019 and as a Senior Data Scientist at McKinsey & Company from 2019 to 2020. Additionally, he served as a GCSE Specialist Marker for Pearson from 2012 to 2014, demonstrating his involvement in educational assessment.
Professional Development
Throughout his career, Paul Elliott has engaged in professional development through various roles that have enhanced his skills in data science and analysis. His experience includes a postdoctoral fellowship at York University from 2016 to 2017, which provided him with advanced research opportunities. His career trajectory reflects a strong commitment to continuous learning and application of data science in real-world scenarios.