Data Scientist

Senior Data Scientist / ML Engineer – Simulation12-month contract | Fully Remote

We are working with an innovative technology business developing a digital twin platform for complex organisations.
The platform uses real-world operational data and event logs to simulate how organisations operate, allowing businesses to quantify the impact of operational changes before they are made.
We are looking for a Senior Data Scientist / ML Engineer to own the simulation and statistical modelling layer of the platform.
What you'll do

• Design and develop discrete-event and process simulation models in Python.
• Develop statistical and ML methods to fit and calibrate models against real operational data.
• Use event logs and timestamp data to infer processes, routing, capacity and durations.
• Design simulations and experiments to quantify operational changes.
• Build production-quality, reusable modelling systems.
• Work closely with data engineering and product teams.
• Communicate complex modelling outputs clearly to non-technical stakeholders.

Must-have

• Strong Data Science / ML Engineering experience with production-grade Python.
• Hands-on experience with process or discrete-event simulation, stochastic modelling or Operations Research.
• Strong statistical modelling skills, including estimation, calibration and validation.
• Experience working with real-world operational, event-log or timestamp data.
• Strong Python scientific stack: NumPy, SciPy and pandas.
• Good software engineering practices, including Git, testing and reproducible development.

Nice to haveExperience in complex operational environments such as:

• Aviation / airports
• Logistics / supply chain
• Transportation
• Manufacturing
• Healthcare
• Financial or professional services
• Consulting

Experience with process mining, queueing theory, Monte Carlo simulation, survival analysis or agent-based simulation would also be valuable.
We're particularly interested in candidates who have taken messy operational data, reconstructed how a real-world process works and built a quantitative model that can be used to support business decisions.