Summary
Simon Grest is a data science leader with nine years of experience building and operationalizing ML solutions, currently managing Operations Data Science at Albert Heijn in Amsterdam. He combines deep quantitative training—MSc in Mathematics of Cryptography and Communications and top honors in applied mathematics—with hands-on experience scaling models in retail operations, finance, public sector tax risk, and agriculture. His career spans end-to-end delivery from prototype to production, including deploying remote-sensing ML for smallholder maize farmers in Uganda to enable financial inclusion. Known for translating complex probabilistic models into actionable business decisions, he leads teams of scientists and engineers to embed data-driven workflows into operations. Colleagues describe him as a pragmatic thinker who balances rigorous mathematics with product-focused, auditable solutions.
9 years of coding experience
6 years of employment as a software developer
Diploma for Graduates, Economics, Distinction, Diploma for Graduates, Economics, Distinction at University of London International Programmes
MSc, Mathematics of Cryptography and Communications, Distinction, MSc, Mathematics of Cryptography and Communications, Distinction at Royal Holloway, University of London
Deep Learning Certificate Part II, Computer Science, Deep Learning Certificate Part II, Computer Science at University of San Francisco
BSc Honours, Applied Mathematics, Summa Cum Laude, BSc Honours, Applied Mathematics, Summa Cum Laude at University of KwaZulu-Natal