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

[What the role is]

[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.