Job Description

[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.