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Data Scientist

DeepRec.ai · Greater London, England, United Kingdom

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Senior Data Scientist / ML Engineer – Simulation12-month contract | Fully RemoteWe 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 doDesign 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-haveStrong 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 / airportsLogistics / supply chainTransportationManufacturingHealthcareFinancial or professional servicesConsultingExperience 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.