Summary
Andrew Kirk is a data science leader with a decade of experience building production ML systems and teams across healthcare, consulting, and payments. Currently managing Local Payment Methods and Global Data Science at Stripe, he helps merchants increase conversion and reduce fraud by operationalizing hundreds of regional payment flows and measurement pipelines. His background includes pioneering anti-fraud and subrogation deep-learning models at Optum that delivered multi-million dollar impacts, and research work on anomaly detection and high-cardinality embeddings. He pairs research-grade modelling (MSc in High Performance Computing) with a pragmatic focus on production engineering and developer training, having founded internal data-science training programs. A seasoned volunteer executive, he scaled 180 Degrees Consulting’s global operations and continues to advise charities, showing a persistent interest in mission-driven impact beyond product metrics. Colleagues describe him as someone who deliberately designs models to support human experts rather than replace them.
10 years of coding experience
9 years of employment as a software developer
Master of Science High Performance Computing, Master of Science High Performance Computing at The University of Edinburgh
Australian National University
Victorian Certificate of Education, Victorian Certificate of Education at Melbourne High School
German, French