Summary
Oliver Jack is a data scientist with 12 years of experience who blends rigorous academic training in mathematics and machine learning with hands-on product delivery at scale, currently building agentic solutions at Amazon from Luxembourg. He has led the creation of the organization's first internal agent that fuses knowledge-base retrieval with live data, driving 50% weekly adoption, and pioneered causal forest and MILP approaches to optimize ASIN placement and inventory decisions. His background spans research roles at Cambridge Judge Business School—where he built anomaly detection and NLP pipelines—and internships that translated into production-ready RAG and on-call automation frameworks. Comfortable moving between modeling, optimization, and engineering, he repeatedly simplifies complex workflows for teammates via tooling and IDE integrations. An unusual strength is his ability to pair formal causal inference techniques with practical system design to deliver measurable business impact.
12 years of coding experience
1 year of employment as a software developer
Master's degree, M2 MVA (Mathematics, Vision, Learning), Master's degree, M2 MVA (Mathematics, Vision, Learning) at ENS Paris-Saclay
Master of Science - MS, M1 Data Science, Master of Science - MS, M1 Data Science at University of Luxembourg
Engineering Diploma, Engineering Diploma at CentraleSupélec
High School Diploma, Mathematics and Computer Science, High School Diploma, Mathematics and Computer Science at Lycée Michel-Rodange Luxembourg (LMRL)
English, Luxembourgish, French, German