quality KPIs, and forecast quality trends to inform decision-making Drive continuous improvement by introducing innovative testing approaches, including AI strategies, to enhance quality and accelerate delivery Ensure appropriate resourceallocation across the Retail and Corporate portfolio through collaboration with internal and external teams Provide line management and mentorship while fostering a culture of transparency, trust, and accountability More ❯
in hiring to build a robust data science team. The role may involve expertise in either machine learning (e.g., predictive modelling, classification, anomaly detection) or mathematical optimisation (e.g., scheduling, resourceallocation, route optimisation). Candidates with a strong background in one area and interest in the other are encouraged to apply. The role demands leading the development and … deployment of data science solutions, managing the entire project lifecycle, and collaborating with the Centre of Enablement (COE) to implement training and best practices. JOB ACCOUNTABILITIES Manage data science resourceallocation within the team, ensuring optimal use of personnel and tools to meet project demands. Provide technical support and guidance to data science team members, assisting in troubleshooting More ❯
quality KPIs, and forecast quality trends to inform decision-making Drive continuous improvement by introducing innovative testing approaches, including AI strategies, to enhance quality and accelerate delivery Ensure appropriate resourceallocation across the Retail and Corporate portfolio through collaboration with internal and external teams Provide line management and mentorship while fostering a culture of transparency, trust, and accountability More ❯
