Office of Digitalisation, Data and AI - Deputy Manager/Manager (Data Scientist)
Core
Analyze educational data to identify predictors, conduct statistical testing, and develop, validate, and operationalize predictive models for educational cohorts and modules.
Role type
Manager-level data scientist (predictive modeling)
Builds
Predictive models and dashboards for educational data analysis
Domain
Education technology / Data science
Deliverable
production ML models | dashboards & analysis
Required skills
predictive modeling, feature engineering, statistical testing, model explainability (SHAP), SQL, Python
Preferred skills
Azure Synapse, Microsoft Fabric
Responsibilities
Analyze educational data to identify key predictors; Normalize and structure data for fair comparisons across cohorts; Develop, compare, and validate predictive models; Apply explainability techniques to ensure model transparency; Work with Data Engineers to operationalize models and support scheduled runs; Monitor model performance and define update requirements.
Seniority
Manager, hands-on IC with team leadership
