Scientist, Data

To drive the design, development, adoption, and deployment of advanced analytics and AI solutions across all business units in the bank. The role will be responsible for collaborating with a team of data scientists in developing AI/ML models at scale, ensuring model governance and regulatory compliance, and supporting business units to embed AI into products, processes, and decision-making. The ideal candidate is both a strong technical leader and a strategic business partner.

• Support the development and execution of the bank’s Data Science & AI strategy in alignment with strategic business goals.
• Coordinate a team of data scientists and machine learning/AI developers in driving AI implementation across business and operations.
• Oversee end-to-end delivery of machine learning models: data sourcing, feature engineering, model development, evaluation, deployment, and monitoring.
• Develop predictive, prescriptive, and generative AI models for use cases such as credit scoring, fraud detection, personalisation, chatbot agents, agentic AI for payment and process improvements, etc.
• Define and implement scalable MLOps and AIOps pipelines for model deployment, monitoring, and lifecycle management.
• Lead Proof of Concept (PoC) and pilot initiatives for new AI capabilities.