Teams at Xero

Lead end-to-end data science projects for Payroll: frame problems, build experiments, productionise ML models, measure AI product outcomes, and mentor junior scientists. Work cross-functionally with product, engineering and design to improve conversion, retention and product outcomes using modern data stacks and AI automation.

Lead end-to-end data science roadmaps for a product domain: define metrics, drive experimentation, productionise decision models, shape AI-driven analytics, build reusable assets, mentor data scientists, and advise senior stakeholders.

Build internal tooling and platform improvements for database reliability. Split time between software engineering and database operations: monitoring, observability, performance tuning, incident response, migration to RDS/Postgres, and automating fleet management to improve resilience and developer efficiency.