Summary
Andrew Weeks is a product-focused Staff Data Scientist with 14 years of experience building ML-driven products across London and San Francisco startups. He has led end-to-end development of income and credit models, architected a dbt-on-Databricks data platform that cut feature launch times from days to hours, and halved model development time with an Airflow+Databricks experiment framework. Comfortable negotiating strategy with executives, he pioneers outcome-driven development and has authored model governance and fairness policies for UK and US markets to ensure compliant, ethical systems. Andrew blends deep technical chops from a PhD in Computer Science with hands-on engineering experience—often stepping into data engineering, MLOps and product strategy—to turn messy, real-world problems into measurable impact. An organiser in the PyData London community, he also brings a collaborative, cross-disciplinary approach to scaling teams and sharing insights.
14 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Computer Science, Doctor of Philosophy (Ph.D.), Computer Science at University of York
English, Dutch