Oscar Barlow
About Oscar Barlow
Oscar Barlow serves as the Data Practice Lead at Starling Bank, where he has contributed to various machine learning initiatives since 2023. He holds a Master of Science in International Marketing from Birkbeck, University of London, and a BA in Philosophy from the University of Nottingham.
Work at Starling Bank
Oscar Barlow has been serving as the Data Practice Lead at Starling Bank since 2023. In this role, he has focused on enhancing machine learning capabilities within the organization. He has implemented drift detection on machine learning models in production and launched a machine learning explainability data science research project. Prior to his current position, he worked as a Tech Lead/Engineering Manager at Starling Bank from 2021 to 2023, where he contributed to the development and deployment of the bank's first entirely cloud-trained models.
Education and Expertise
Oscar Barlow holds a Master of Science in International Marketing from Birkbeck, University of London, where he studied from 2012 to 2014. He also earned a Bachelor of Arts with Honours in Philosophy from the University of Nottingham, completing his studies from 2005 to 2008. His educational background supports his expertise in data science and machine learning, particularly in the financial sector.
Background in Development
Before joining Starling Bank, Oscar Barlow worked briefly at Makers Academy as a Developer in 2017 for two months. This early experience in software development laid a foundation for his later roles in data science and engineering management.
Machine Learning Contributions
Oscar Barlow has made significant contributions to machine learning at Starling Bank. He created an 'accessible ML' framework aimed at increasing the volume of machine learning initiatives within the bank. His work has focused on making machine learning more understandable and applicable in a banking context.