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[What the role is]

Office of Digitalisation, Data and AI - Deputy Manager/Manager (Data Scientist)

[What you will be working on]

. Analyse educational data to identify key predictors, conduct statistical testing, and prepare high quality modelling datasets.
. Normalise and structure data to enable fair comparisons across cohorts, modules, and usage patterns.
. Develop, compare, and validate predictive models recommend suitable modelling approaches based on data strength and operational needs.
. Apply explainability techniques to ensure model transparency and support stakeholder interpretation.
. Work with the Data Engineer to operationalise models, support scheduled runs, and ensure results are visualised through dashboards and reports.
. Monitor model performance, evaluate post deployment impact, and define model update and maintenance requirements in line with governance standards.

[What we are looking for]

. A qualification in Computer Science, Data Science, Statistics or a related discipline.
. Preferably with at least 3 years of experience in predictive modelling and feature engineering.
. Strong foundations in statistics, data preparation and model evaluation.
. Familiarity with model explainability techniques (e.g. SHAP).
. Technical experience in Azure Synapse and Microsoft Fabric would be an advantage.
. Proficiency in SQL and Python.
. Ability to work in a collaborative and fast-paced environment with a growth mindset.
. Strong oral and written communication skills in English.
. Ability to deliver tasks on time with high-quality outcomes.
. Highly motivated and able to work independently and in a team.