Summary
Oscar Bennett is a Lead Data Scientist based in London who combines a decade of experience in data science and software engineering with prior clinical training as a medical doctor. He leads healthcare and life-sciences projects at Faculty, partnering with organisations such as the NHS, Genomics England, and the UK Health Security Agency to deliver machine learning, statistical modelling, and cloud engineering solutions. His technical toolkit spans Python (TensorFlow, Keras, scikit-learn), Docker, Airflow, Flask/Dash and AWS, and he translates clinical insight into practical, production-ready analytics and decision support. With advanced degrees in medical imaging and medical physics from UCL and clinical training at Cambridge, he brings a rare blend of domain expertise, research rigour and product-focused delivery. An early Recurse Center alumnus, he keeps a hands-on curiosity for algorithms and systems that informs both technical leadership and strategy.
10 years of coding experience
3 years of employment as a software developer
Bachelor of Medicine Bachelor of Surgery (MB BChir), Bachelor of Medicine Bachelor of Surgery (MB BChir) at University of Cambridge
University College London