Paul Elliott

Paul Elliott has a diverse work experience that spans various industries and roles. Paul is currently working at Marshmallow as the Head of Data Science, where they oversee the data science team. Prior to that, they held the position of Data Science Manager at Marshmallow and Lead Data Scientist.

Before joining Marshmallow, Paul worked at McKinsey & Company as a Senior Data Scientist, where they were responsible for building and deploying machine learning models and data pipelines. Paul also worked on projects related to optimizing efficiency in the aquaculture industry.

Paul also gained experience as a Data Scientist at Telefónica Chile, where they worked on projects such as predicting customer satisfaction scores and implementing neural networks to identify user patterns.

Furthermore, Paul worked as a Postdoctoral Fellow at York University, conducting research on the formation of wide and very wide binaries. Paul utilized Python and SQL databases for data analysis in this role.

Paul's educational background includes a Ph.D. in astrophysics from the University of Exeter, where their research focused on multiplicity in young moving groups. Paul also worked as a GCSE Specialist Marker at Pearson, providing feedback on mark schemes.

Additionally, Paul gained experience through training placements at FESB - Croatia and the European Southern Observatory. Paul also worked as a Year in Industry Student at Oxsensis Ltd.

Overall, Paul Elliott has a strong background in data science, research, and project management, with experience in various industries.

Paul Elliott completed their education by obtaining a Doctor of Philosophy (Ph.D.) in Physics from the University of Exeter from 2012 to 2016. Paul also earned a Bachelor of Science (BSc) in Physics from the same university from 2009 to 2012. Prior to that, they completed their A Levels in Physics, Mathematics (with mechanics), Psychology, and Product Design (AS level) at St. Barts, Newbury from 2003 to 2008. Paul Elliott has an additional certification in Engineering Mathematics from the Royal Academy of Engineering.