Summary
Max Shilling is a Senior Data Scientist with eight years’ experience applying machine learning, web scraping and data engineering to commercial and safety-critical problems at British Airways, where his passenger forecasting work earned nominations for Innovation of the Year (British Data Awards) and Most Innovative Use of AI (DataIQ). He builds and deploys live ML systems and LLM automation (including GPT-4o) across Sustainability, Safety & Security and Network teams, turning second-by-second telemetry into actionable fuel- and risk-reduction metrics. Comfortable translating technical insight for non-technical stakeholders, he combines Python, SQL, Tableau and R expertise with a track record of embedding models into production and training junior colleagues. An academically strong quantitative social scientist who wrote a university textbook and taught advanced data analysis as an undergraduate, he brings institutional curiosity and a knack for self-directed learning.
8 years of coding experience
4 years of employment as a software developer
Sociology BSc, Data Analysis in Social Science, First Class, Sociology BSc, Data Analysis in Social Science, First Class at University of Exeter
Simon Langton Grammar School for Boys