Data science continues to generate excitement and yet real-world results can often disappoint business stakeholders. What is going on? How can we mitigate risk and ensure results match expectations? Working as a technical data scientist at the interface between cutting-edge R&D and commercial operations has given Martin an insight into the traps that lie in our path. He presents a personal view on the most common failure modes of data science projects.