Callum Scott is a data scientist with 11 years of experience based in Australia, focused on developing and deploying AI systems that deliver measurable user impact. At Commonwealth Bank he progressed from graduate rotations in AI Labs and cloud-based analytics to building and serving a high-impact recommender that increased front-page engagement by 66%, demonstrating strength across research, production ML and cloud infrastructure. He combines a rigorous maths and computer science background (UNSW, Advanced Science Hons) with hands-on software engineering experience from university web projects to enterprise-grade model deployment. Comfortable bridging research and product, Callum has worked with LLMs, recommender research presented at RecSys, and privacy-conscious cloud platforms—skills that help move models from prototype to real-world use. Notably, he pairs technical depth with a pragmatic focus on user outcomes and operational reliability.
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