Summary
Ilia Lvov is a Senior Data Scientist at Revolut with 11 years of experience applying machine learning and quantitative modelling to high-impact, data-intensive problems across finance and research. He holds a PhD in Computer Science and an MSc in Management & Information Technology, and has a rare blend of academic rigour and production engineering—deploying models with Airflow, optimizing databases to serve 50M predictions every few hours, and automating retraining pipelines. At Revolut he has driven tangible business outcomes, from a fraud-ring detector to a top-up limits model that unlocked ~£10M of additional honest funds monthly, alongside large-scale data standardisation and deduplication work. His background in social data science and consultancy for broadcasters and international clients gives him an uncommon fluency in mixed-methods research, product-facing dashboards, and stakeholder-focused backtesting. Known for supervising and onboarding cross-functional teams, he combines deep probability/statistics expertise with pragmatic systems design to move models from prototype to robust production.
11 years of coding experience
7 years of employment as a software developer
Master of Science (MSc), Management and Information Technology, with Distinction, Master of Science (MSc), Management and Information Technology, with Distinction at University of St Andrews
Johns Hopkins University
Bachelor's degree, Economics, 2.1 equivalent, Bachelor's degree, Economics, 2.1 equivalent at Московский Государственный Университет им. М.В. Ломоносова (МГУ) / Lomonosov Moscow State University (MSU)
Online course, Machine Learning, 100%, Online course, Machine Learning, 100% at Stanford University
Russian, English