Data Scientist, AI Engineer

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