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The role entails delivering portfolio forecasts, analyzing impairment drivers, developing reporting structures, and collaborating with cross-functional teams for insights.

The Data Scientist will apply statistical and machine learning techniques to analyze data, develop models, and ensure governance throughout their lifecycle, communicating insights effectively.

Lead the full lifecycle of credit card products at Own Brands, focusing on customer experience and commercial success while driving product innovation and strategy.

Analyze large data sets to identify application fraud threats, develop data-driven prevention strategies, and collaborate with stakeholders to mitigate risk.

Lead and deliver customer lending initiatives, ensuring affordability and client expectations are met. Develop and facilitate complex projects effectively.

The Data Engineer will develop and monitor BAU data pipelines, enhance processes, build new data pipelines, and contribute to the Data Lake technology in an Agile environment.

Lead the design and delivery of GenAI solutions, leveraging LLMs and RAG architectures while integrating with enterprise systems. Focus on production-grade implementations and collaboration across teams for digital transformation efforts.