About this role
You will join our Data Science team and help turn client data into reliable models and reusable analytics tooling. This is a hands-on modelling and engineering role: you will spend your time on data, code, and statistical methods. Prepare, clean, and quality-check datasets using SQL and Python or R Build and validate statistical models, including regression, machine learning, and forecasting Apply sound statistical thinking, including a working understanding of Bayesian ideas (priors, uncertainty, posterior interpretation) Automate recurring analysis so the team can reuse pipelines, functions, and tools Use Git to work with the team’s codebase Document methods and results clearly so others can review, rerun, and present the work