15:I[832,["669","static/chunks/app/(Engagement)/similar-jobs/%5Bid%5D/page-7c4e3a2cee4680ac.js"],"default"] 17:I[5878,["669","static/chunks/app/(Engagement)/similar-jobs/%5Bid%5D/page-7c4e3a2cee4680ac.js"],"Image"] 16:T74c,[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