Data Scientist – Decision Science & Modelling
Core
Design and deliver analytical models and decision-support systems to improve understanding, prediction, and decision-making across the business, focusing on complex real-world systems with imperfect data.
Role type
Senior IC data scientist (decision science & modelling)
Builds
Deployable analytical solutions, decision-support tools, and operational capabilities
Domain
Healthcare market research, life sciences, and decision science
Deliverable
production ML models | dashboards & analysis
Required skills
Statistical modelling, probabilistic modelling, Bayesian inference, forecasting, machine learning, simulation modelling, optimisation techniques, experimental design, Python or R coding, problem decomposition
Preferred skills
Digital twin systems, operational research, survey/panel data analysis, generative AI, model monitoring and governance
Technologies
Python, R
Responsibilities
Design statistical and simulation-based models; translate business questions into tractable modelling problems; quantify uncertainty and communicate confidence in outputs; develop frameworks for operational and commercial decision-making; validate models using testing and back-testing; partner with Engineering to translate models into scalable production solutions.
Seniority
Senior, hands-on IC
