Senior Data Scientist based in Dubai, United Arab Emirates, is part of Emirates NBD's Advanced Analytics Centre of Excellence. The CoE partners with business units to deliver high-impact analytics projects and foster a data-driven culture across the bank.

Job purpose: Design, build, and deploy machine learning models to support use case execution and help achieve business objectives. Collaborate with product owners, business translators, data warehousing and data engineering teams to create scalable data applications using structured and unstructured data, design robust data architectures, and experiment with new ML techniques. Take ownership of end-to-end model delivery, including testing and maintaining analytical models to respond to evolving business needs. Support Translators in communicating model design, functioning and outputs. Provide mentorship to junior team members.

Job content: Deliver a roadmap of analytics projects in collaboration with business units; design and implement models; document reusable code; maintain personal technical development; share knowledge through internal sessions and external meetups; contribute to CoE cultural initiatives.

Qualifications: Education: University degree; advanced degree (MS/PhD) desirable in Computer Science, Economics, Statistics or Mathematics or related field. Experience: 6-8 years in data science. Knowledge & skills: Experience defining analytics roadmaps; expertise in ML, statistics, optimization; proficiency in R or Python; experience with large datasets, simulation/optimization, distributed computing (Map/Reduce

Senior Data Scientist based in Dubai, United Arab Emirates, is part of Emirates NBD's Advanced Analytics Centre of Excellence. The CoE partners with business units to deliver high-impact analytics projects and foster a data-driven culture across the bank.

Job purpose: Design, build, and deploy machine learning models to support use case execution and help achieve business objectives. Collaborate with product owners, business translators, data warehousing and data engineering teams to create scalable data applications using structured and unstructured data, design robust data architectures, and experiment with new ML techniques. Take ownership of end-to-end model delivery, including testing and maintaining analytical models to respond to evolving business needs. Support Translators in communicating model design, functioning and outputs. Provide mentorship to junior team members.

Job content: Deliver a roadmap of analytics projects in collaboration with business units; design and implement models; document reusable code; maintain personal technical development; share knowledge through internal sessions and external meetups; contribute to CoE cultural initiatives.

Qualifications: Education: University degree; advanced degree (MS/PhD) desirable in Computer Science, Economics, Statistics or Mathematics or related field. Experience: 6-8 years in data science. Knowledge & skills: Experience defining analytics roadmaps; expertise in ML, statistics, optimization; proficiency in R or Python; experience with large datasets, simulation/optimization, distributed computing (Map/Reduce