Summary
Samuel Bunce is a Trading Analyst and data scientist with nine years of experience applying quantitative methods across finance, banking and social networking. He has delivered large-scale data projects from social graph and transactional systems to natural language and image pipelines, combining production engineering with interactive data visualisation. At Maven Securities and previously Barclays and Mail.Ru Group he has bridged developer and analyst roles, shipping robust server-side solutions and trading analytics. Samuel holds an MSc in Big Data Systems (Distinction) with a thesis on transfer learning and semantic segmentation, giving him uncommon depth in applied computer vision for business use cases. He is London-based, contributes as a developer at GDS and freelances as a production engineer, reflecting a pragmatic full-stack skill set that spans research and operational delivery. Colleagues rely on him for stakeholder-facing insight, translating complex data science into clear decisions for senior leadership.
9 years of coding experience
6 years of employment as a software developer
Bachelor's degree, Philosophy, Politics and Economics, 2:1, Bachelor's degree, Philosophy, Politics and Economics, 2:1 at University of Oxford
Master’s Degree, Big Data Systems MSc, Distinction, Master’s Degree, Big Data Systems MSc, Distinction at Higher School of Economics
English, Russian