Summary
Adam Glass is a senior data scientist with eight years’ experience applying machine learning, graph networks and analytics to fraud and anomaly detection in payments and fintech. Currently at Tyro Payments after leading data science at Thriday and Ravelin, he blends ML engineering, feature engineering and production pipelines on GCP/Azure with hands-on collaboration with fraud teams. His background as a business consultant and co-founder gives him a strong commercial lens for turning model outputs into operational decisions and risk mitigation. He has built unsupervised anomaly detectors and customer–supplier graph models to uncover collusion, and he pairs that with a particular interest in model explainability and NLP. Based in Melbourne but with London roots, he’s comfortable moving between strategic stakeholder work and low-level pipeline code (Python, SQL, occasional Golang). Notably, he teaches and mentors—having been a General Assembly instructor—bringing clarity to complex ML concepts for non-technical stakeholders.
7 years of coding experience
10 years of employment as a software developer
Data Science Immersive, Data Science Immersive at General Assembly
BA (Hons) Political Science and Philosophy, BA (Hons) Political Science and Philosophy at University of Birmingham
English, Spanish, Portuguese