Tom Roth is a Data Scientist with nine years' experience applying ML and NLP across industry and research, currently working at the Financial Ombudsman Service in London. He holds a PhD focused on adversarial attacks against text classifiers and has published and presented work on the first generative attack targeting multilingual models. Tom blends deep research skills with commercial impact—from building geospatial ML pipelines and causal models that informed retail strategy to prototyping voice-driven property search and production-ready recommendation systems. He has practical experience across the ML lifecycle and cloud-native tooling, and has also led sales and product-direction efforts at an AI startup, making him well-suited to Solutions or Sales Engineer roles in AI/ML. Known for translating complex technical risks into actionable solutions, he pairs rigorous statistical training with a knack for stakeholder-facing communication.
9 years of coding experience
4 years of employment as a software developer
The University of Sydney
Doctor of Philosophy - PhD, Natural language processing (NLP), Doctor of Philosophy - PhD, Natural language processing (NLP) at University of Technology Sydney
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