Emirates NBD is one of the largest banks in the Middle East, with substantial revenues and a global workforce. The bank has established an Advanced Analytics Centre of Excellence (AA CoE) to drive its analytics agenda and to enable cross-functional squads across business units. The CoE aims to deliver measurable business impact, build organization-wide capabilities in advanced analytics, and guide business units in ideating, prioritizing, piloting, and productionizing analytics solutions. It will house highly skilled data scientists, data engineers, and other digital talent who will contribute to cross-functional teams that execute analytics projects. The AA agenda is a high-visibility, high-priority initiative governed at the ExCo level, with impact tracking and a dedicated budget.

Job Purpose • The data scientist scopes, designs, and implements machine-learning models to support use-case execution and to achieve business objectives. • The role is highly collaborative and works with product owners, business translators, data warehousing and data engineering teams to create data-driven applications using structured and unstructured data, design optimal data architectures, and experiment with new machine-learning techniques. • The data scientist takes end-to-end ownership of model delivery, including regular testing and maintenance to adapt to changing business needs. • The role supports translators in communicating the design, functioning, and outputs of analytical models and solutions. • The data scientist mentors junior colleagues, guiding their work and professiona

Emirates NBD is one of the largest banks in the Middle East, with substantial revenues and a global workforce. The bank has established an Advanced Analytics Centre of Excellence (AA CoE) to drive its analytics agenda and to enable cross-functional squads across business units. The CoE aims to deliver measurable business impact, build organization-wide capabilities in advanced analytics, and guide business units in ideating, prioritizing, piloting, and productionizing analytics solutions. It will house highly skilled data scientists, data engineers, and other digital talent who will contribute to cross-functional teams that execute analytics projects. The AA agenda is a high-visibility, high-priority initiative governed at the ExCo level, with impact tracking and a dedicated budget.

Job Purpose • The data scientist scopes, designs, and implements machine-learning models to support use-case execution and to achieve business objectives. • The role is highly collaborative and works with product owners, business translators, data warehousing and data engineering teams to create data-driven applications using structured and unstructured data, design optimal data architectures, and experiment with new machine-learning techniques. • The data scientist takes end-to-end ownership of model delivery, including regular testing and maintenance to adapt to changing business needs. • The role supports translators in communicating the design, functioning, and outputs of analytical models and solutions. • The data scientist mentors junior colleagues, guiding their work and professiona