Sami Niemi
Vice President and Managing Data Scientist, Barclays

Sami Niemi is a vice president and managing data scientist at Barclays, where he leads a team of data scientists building fraud detection models and manages the UK fraud models. Sami has been working on Bayesian inference and machine learning for over 10 years and has published peer-reviewed papers in astrophysics and statistics. He has delivered machine learning models for telecommunications and financial services and built supervised learning models to predict customer and company defaults, first- and third-party fraud, and customer complaints, and used natural language processing for probabilistic parsing and matching. He has also used unsupervised learning in a risk-based anti-money-laundering application.