Key Responsibilities - 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 Requirements / Qualifications - MSc or PhD in Data Science, Artificial Intelligence, Machine Learning, Mathematics, Statistics, Operations Research, Computer Science, Economics or a related quantitative discipline - 2-4+ years of experience delivering advanced analytics, machine learning or AI solutions in a commercial environment - 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 Spark or 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 / Nice to have - 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 Selection process / Benefits (if stated) - Attractive tax-free salary, industry-leading travel benefits, discounted flights and hotel stays worldwide. ---