Data Science Manager

Lead Data Scientist (Manager) - Simulation & Digital Twins We're partnered with a major UK organisation investing seriously in simulation and digital twins, deployed at a scale where modelling gains translate into very large real-world impact.

They're building a team to prove out where this capability can drive smarter decisions right across the operation. They want someone who can lead from the front. You'll own a small team of Data Scientists and be accountable for raising the bar on how they model, but this is not a hands‐off seat.

You'll still be building, still in the code, and still the person who can take a vague operational problem and turn it into something a model can actually answer. The work Creating modular, reusable components the wider team can build simulations and digital twins on Carrying projects from a fuzzy starting brief all the way to something running in production Turning genuinely ambiguous business challenges into well‐framed data science problems Bringing people across the business with you, since the hard part is often adoption, not the maths What makes you a fit Must have Hands‐on experience designing, building and analysing simulations across multiple paradigms, including Agent‐Based Modelling and Discrete Event Simulation Depth in at least one of: Supply Chain or Logistics Simulation, Co‐Simulation and FMI, Simulation of Complex Systems, or calibrating simulation models against large datasets A confident engineer, not just a notebook user, you write maintainable code and care about how it ships You've put data science work live at scale, and you've helped other scientists grow A heavily quantitative or research background You've been the person who introduced a new technical approach into a big, established business Tools you'll lean on Day to day Python (Java also welcome) Simulation and digital twin frameworks Solid engineering habits: source control, testing, object‐oriented design

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