Data Science Manager

Xcede; Greater London; On-site; GBP 70,000 - 90,000; Full time

Job summary

Xcede is seeking a Lead Data Scientist (Manager) in Greater London to guide a small team in designing simulations and digital twins that drive significant operational decisions. The role combines leadership with hands-on coding to tackle complex business challenges with data-driven solutions.

The ideal candidate has robust experience in simulation frameworks, exceptional coding abilities, and a proven track record of implementing innovative technical solutions in large organizations.

Qualifications

• Hands‑on experience designing, building and analysing simulations.
• Depth in at least one simulation method like Agent‑Based Modelling.
• Strong coding skills and solid engineering habits.

Responsibilities

• Create modular, reusable components for simulations.
• Carry projects from brief to production.
• Turn ambiguous business challenges into data science problems.

Skills

Hands-on experience designing simulations

Depth in Supply Chain or Logistics Simulation

Confident engineer with maintainable code experience

Experience scaling data science work

Quantitative or research background

Introduced new technical approaches

Tools

Python

Java

Simulation frameworks

Job description

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