Job Purpose
Join the Emirates Group Analytics Centre of Excellence (ACoE), where data, AI and innovation power decisions across one of the world's most recognised aviation and travel brands.
As a
Data Scientist/AI Engineer, you will solve complex business challenges using machine learning, advanced analytics, GenAI and Agentic AI. Working across commercial, operational and customer domains, you will transform vast amounts of data into actionable insights, intelligent products and measurable business outcomes.
This is an opportunity to work on real-world, large-scale problems while helping shape the future of AI and data-driven decision making at Emirates Group.
In This Role, You Will
- Develop and deploy machine learning, Agentic AI and analytics solutions that drive measurable business impact.
- Analyse large structured, semi-structured and unstructured datasets to uncover insights and opportunities.
- Build predictive, prescriptive and optimisation models to solve business challenges across the Emirates Group.
- Partner with stakeholders to translate complex business questions into scalable data science solutions.
- Create visualisations, dashboards and analytical tools that support decision-making.
- Contribute to the development of reusable libraries, frameworks and production-ready data science assets.
- Apply experimentation techniques including A/B testing, segmentation and customer analytics.
- Collaborate with engineers, analysts and product teams in an agile delivery environment.
- Support the development and deployment of AI-powered products and intelligent automation capabilities.
Qualification
To be considered for this role, you must meet the below requirements:
Qualifications
- MSc or PhD in Data Science, Artificial Intelligence, Machine Learning, Mathematics, Statistics, Operations Research, Computer Science, Economics or a related quantitative discipline.
Experience
- 2-4+ years of experience delivering advanced analytics, machine learning or AI solutions in a commercial environment.
Knowledge & Skills
- Strong hands-on experience across the modern Data Science ecosystem.
- Experience developing and deploying Machine Learning, GenAI, LLM and Agentic AI solutions.
- Experience with AI Engineering practices including model deployment, monitoring, evaluation, prompt and context engineering and scalable AI application development.
- Proficiency in Python, SQL and modern analytical toolsets.
- Experience with Sparkor distributed data processing technologies.
- Experience with Git, Docker, CI/CD and MLOps workflows.
- Experience building reusable libraries, APIs or production-grade data science solutions.
- Strong problem-solving mindset with the ability to communicate technical concepts to non-technical audiences.
- Experience delivering solutions in complex, fast-paced environments.
Preferred Experience
- Experience building and deploying AI applications using LLM orchestration frameworks (LangGraph, LangChain, Semantic Kernel or equivalent).
- Experience with Retrieval Augmented Generation (RAG), vector databases, AI agents and multi-agent systems.
- Experience evaluating, monitoring and governing production AI systems.
- Understanding of cloud-native AI platforms and modern AI engineering best practices.
Salary & benefits
Join us in Dubai and enjoy an attractive tax-free salary, industry-leading travel benefits, and access to one of the most exciting AI and data environments in the region. Alongside discounted flights and hotel stays worldwide, you'll have the opportunity to work on high-impact projects at global scale while advancing your career with Emirates Group.
