Etihad Airways is seeking an experienced Data Scientist AI to design, develop, deploy, and monitor machine learning and generative AI solutions that address business-critical challenges. You will translate business requirements into data science and AI use cases, define success criteria, and analyze large, complex datasets to produce actionable insights, predictive models, and decision-support capabilities. You will build and optimize ML models through feature engineering, validation, testing, and performance tuning, and you will design and deploy LLM-powered, retrieval-augmented, and agentic AI applications for automation, knowledge management, and business process optimization. You will design document intelligence, search, and information retrieval solutions using structured and unstructured enterprise data. You will establish evaluation frameworks, monitoring, governance, and cost controls to ensure quality, reliability, and scalability. You will collaborate with engineering teams to deliver production-ready AI applications integrated with enterprise platforms and systems. You will lead discovery workshops, process assessments, and stakeholder engagements to identify and prioritize AI opportunities. You will communicate findings and recommendations through storytelling, visualization, and executive-level presentations. You will promote best practices in machine learning, AI engineering, responsible AI, and data governance, and stay current with trends in AI and analytics. Qualifications include a Bachelor's degree in Computer Science, Data Science, AI, Mathematics, Stat

Etihad Airways is seeking an experienced Data Scientist AI to design, develop, deploy, and monitor machine learning and generative AI solutions that address business-critical challenges. You will translate business requirements into data science and AI use cases, define success criteria, and analyze large, complex datasets to produce actionable insights, predictive models, and decision-support capabilities. You will build and optimize ML models through feature engineering, validation, testing, and performance tuning, and you will design and deploy LLM-powered, retrieval-augmented, and agentic AI applications for automation, knowledge management, and business process optimization. You will design document intelligence, search, and information retrieval solutions using structured and unstructured enterprise data. You will establish evaluation frameworks, monitoring, governance, and cost controls to ensure quality, reliability, and scalability. You will collaborate with engineering teams to deliver production-ready AI applications integrated with enterprise platforms and systems. You will lead discovery workshops, process assessments, and stakeholder engagements to identify and prioritize AI opportunities. You will communicate findings and recommendations through storytelling, visualization, and executive-level presentations. You will promote best practices in machine learning, AI engineering, responsible AI, and data governance, and stay current with trends in AI and analytics. Qualifications include a Bachelor's degree in Computer Science, Data Science, AI, Mathematics, Stat