Data Scientist, AI Engineer - dnata Travel

Job Purpose dnata is more than a global air and travel services provider. We connect people with possibilities and opportunities across 130+ airports in 34 countries through ground handling, cargo, travel, and catering & retail services. Our purpose is clear: to deliver on the promises our customers make. We are powered by a bold vision to be the world’s most admired air and travel services provider, which guides our strategy, culture, and every role across our teams. Our core values fuel everything we do: we are safe, we play to win, we respect everyone and work together as a team, and we are future thinking. At dnata, we foster diversity, nurture ambition, and celebrate achievement. If you're inspired by purpose and motivated to be part of a global team shaping the future of aviation and travel, we’d love to have you onboard. As a Data Scientist – AI Engineer, your role will be to undertake Data Science and AI projects by designing and applying generative AI and LLM-based techniques, alongside machine learning, problem structuring, and data analysis to solve complex business problems across the dnata Travel Group portfolio, with a focus on timely delivery and ownership of results. In this role, you will: - Deliver analytics and data science projects using statistical, machine learning, and AI techniques - Translate data into clear insights and recommendations for business stakeholders - Develop and maintain data pipelines, models, and analytical tools - Analyse KPIs and large datasets (structured and unstructured) to identify trends and opportunities - Apply the most appropriate techniques (ML, optimisation, AI/LLMs) to solve business problems - Collaborate with cross-functional teams across data, engineering, and business domains - Support deployment, testing, and continuous improvement of solutions in production environments - Work in iterative delivery cycles, adapting quickly to changing requirements Qualification To be considered for this position, you must meet the below requirements: - MSc/PhD in a relevant field (data science, operations research, mathematics, AI, statistics, etc.) - 2–4 years of hands-on experience in the analytics ecosystem - Experience with: - Programming languages (SQL, R, Python) - LLMs, GenAI, including prompt engineering and RAG patterns - Azure AI stack (Azure OpenAI, AI Search, Document Intelligence) - DevOps frameworks (Git, CI/CD, Docker) - Experience working with DevOps & engineering teams to integrate models and workflows - Experience building reusable libraries/packages and production-grade DS solutions You will have an edge if you have/are: - Strong team player with a problem-solving mindset - Experience delivering advanced analytics in large, complex organisations - Ability to challenge and validate analytical outputs - Focus on driving business value and long-term stakeholder relationships - Capability to grow teams and maintain culture/strategy alignment - Experience with agent-based / multi-step AI workflows - Exposure to vector databases, embeddings and semantic search - Familiarity with MLflow, Databricks, or LLM observability frameworks - Proven experience delivering end-to-end data / AI pipelines from ingestion through to deployment - Experience scaling an AI solution in production - Leisure travel / destination management industry experience - Analytics domain certifications At Emirates Group, we’re committed to providing our employees with opportunities to grow and develop in their careers. So if you’re looking for a challenging and rewarding opportunity, apply today and join our team! Salary & benefits Join us in a management role and enjoy an attractive tax-free salary. On top of our generous travel benefits, including discounted flights and hotel stays around the world, this managerial role also has an excellent leave and healthcare package. That’s on top of transport benefits, life insurance and more. Find out what it’s like to live and work in our fast-paced, cosmopolitan home city in the Dubai Lifestyle section of our website www.emirates.com/careers

MSc/PhD in a relevant field (data science, operations research, mathematics, AI, statistics, etc.). 2–4 years of hands-on experience in the analytics ecosystem. Experience with programming languages (SQL, R, Python). Knowledge of LLMs, GenAI, including prompt engineering and RAG patterns. Proficiency with Azure AI stack (Azure OpenAI, AI Search, Document Intelligence). Familiarity with DevOps frameworks (Git, CI/CD, Docker). Experience working with DevOps & engineering teams to integrate models and workflows. Experience building reusable libraries/packages and production-grade DS solutions.

Deliver analytics and data science projects using statistical, machine learning, and AI techniques. Translate data into clear insights and recommendations for business stakeholders. Develop and maintain data pipelines, models, and analytical tools. Analyse KPIs and large datasets (structured and unstructured) to identify trends and opportunities. Apply the most appropriate techniques (ML, optimisation, AI/LLMs) to solve business problems. Collaborate with cross-functional teams across data, engineering, and business domains. Support deployment, testing, and continuous improvement of solutions in production environments. Work in iterative delivery cycles, adapting quickly to changing requirements.