Data Scientist – Advanced Analytics & AI

About the role

The Data Scientist will design, develop, deploy and govern advanced analytics, machine learning and AI solutions that support strategic decision‑making across the Bank. Working with structured and unstructured data, you will build predictive and prescriptive models that improve risk management, customer outcomes and operational efficiency.

Key responsibilities

• Design and develop predictive and prescriptive models for use cases such as customer behaviour, credit risk, fraud detection, churn, collections, deposit attrition, product propensity and channel optimisation.
• Perform data discovery, preparation, feature engineering, model training, validation, tuning and testing using banking data.
• Apply statistical, machine learning, forecasting, optimisation and experimentation techniques to uncover patterns and support evidence‑based decisions.
• Translate analytical outputs into clear recommendations, decision rules, dashboards and interventions for business and control functions.
• Evaluate new analytical solution requests for business value, feasibility, data availability and alignment with the Bank’s technology environment.
• Develop proof‑of‑concepts and pilots to assess emerging analytics and AI approaches before scaling.
• Collaborate with Data Engineering and Technology teams to productionise models using version control, reproducible development, testing and release management.
• Monitor model accuracy, stability, drift, bias and fairness; implement remediation, retraining or retirement as needed.
• Maintain an inventory of analytical models with ownership, purpose, status, dependencies, versions and review dates.
• Provide documentation and evidence to support independent model review, validation and compliance with laws, regulations and internal policies.

Required profile

Required skills