Summary
Jan Teichmann is a Senior Staff Engineer with 12 years of experience turning data science research into high-impact, production-grade products for consumer platforms and real-time systems. He co-founded Cambridge Energy Data Lab and led its successful exit, then built and scaled Zoopla’s data science function with projects spanning computer vision, NLP, graph models and recommendation systems. At Trainline he architected real-time data platforms and personalization engines handling hundreds of millions of events daily and 120k requests per minute, shipping dozens of production products and zero attrition in his team. Jan combines deep academic rigour (a PhD in Mathematics) with hands-on engineering across Kafka, Spark, Scala and Python, focusing on DataOps and low-latency ML infrastructures. He publishes technical articles on the practical challenges of production ML and has a track record of mentoring and promoting talent while aligning data science to clear commercial outcomes. An operator who moves fast from prototypes to resilient, observable systems, he thrives where algorithmic innovation meets product-scale reliability.
12 years of coding experience
City University London