Data Scientist (Emiratisation)

About the role

Emirates SkyCargo is seeking a Data Scientist to lead analytics projects that drive commercial value across the Emirates Group portfolio. You will apply mathematical modelling, machine learning and big‑data analysis to solve complex business problems.

Key responsibilities

• Deliver analytics projects using statistical and machine learning techniques and present actionable insights to stakeholders.
• Develop data analysis, visualisation, tools, models and documentation for each project.
• Analyse business metrics and KPIs to identify trends, issues and optimisation opportunities.
• Address day‑to‑day technical issues to ensure high‑quality deliveries.
• Derive insights from large structured, semi‑structured and unstructured data sets and work with business partners to commercialise them.
• Collaborate with cross‑functional teams to embed high‑value insights into business processes.
• Iterate quickly, applying the most suitable algorithms for A/B testing, segmentation, funnel analysis and other analytics needs.
• Support sprint and work‑design planning to bridge research and analytics with data‑driven solutions.

Required profile

• MSc in Data Science, Operations Research, Mathematics, AI, Statistics, Machine Learning or related field.
• 5+ years of experience in Information Systems and delivering advanced analytical projects in large, complex organisations.
• Team player with a problem‑solving attitude and ability to challenge and review analytical output quality.

Required skills

• Hands‑on experience with big‑data technologies (Spark, Hadoop) and deep‑learning frameworks (TensorFlow, Keras).
• Proficiency in SQL, R and Python.
• Experience with DevOps tools (Git, CI/CD, Docker) and building reusable libraries/packages.
• Ability to develop production‑ready data‑science solutions.

What we offer

• Attractive tax‑free salary.
• Travel benefits including discounts on flights and hotel stays worldwide.
• Opportunity to live and work in Dubai’s fast‑paced, cosmopolitan environment.