At Emirates, we believe in connecting the world, to and through, our global hub in Dubai; and in constantly innovating to ensure our customers 'Fly Better'. Join the Emirates Group IT Team in Dubai. Emirates Group IT thrives on the dynamic nature of technology. Being pioneers in aviation innovation, we're always at the forefront, pushing boundaries. We're on the lookout for exceptional IT professionals to fortify our position as leaders in the industry. Embark on a journey with the world's largest international airline and become a vital part of our cutting-edge information and technology team as a Data Scientist.

Undertake Data Science (DS) projects through the application of mathematical modeling, machine learning, problem structuring, and big data analysis to solve complex business problems across the Emirates Group portfolio with a focus on timely delivery and ownership of results.

In this role you will be responsible for:
- Deliver analytics projects, applying appropriate statistical and machine learning techniques to produce key insights and actionable takeaways, and presenting findings and recommendations to the stakeholders.
- Develop dimensions of the DS project such as data analysis, visualization, and development of tools, models, and documentation. Analyse business metrics and KPIs to understand trends, and identify issues, and opportunities for optimization.
- Address day-to-day technical issues, ensuring high quality of deliveries is achieved.
- Derive business insight from large, structured, semi-structured, and unstructured, data sets and work with business stakeholders to deploy insights derived from this analysis to extract commercial value.
- Work with cross-functional team members, combining computer science and mathematics, to identify and inject high-value actionable insights into business processes at their point of highest impact. Work in quick iterations, using the techniques and algorithms best suited for solving challenging problems through active involvement in the development of our analytics tools for A/B testing, segmentation, funnel analysis, and other analytics needs.
- Support sprint/work design and planning projects to bridge the gap between research and analytics by providing data-driven solutions across the required areas.