Etihad AirwaysData Scientist AI - 36 Months
AI in this role
Synopsis
Join us in shaping the future of AI and data-driven innovation. As a Data Scientist AI, you will develop machine learning and generative AI solutions that solve complex business challenges, automate processes, and unlock valuable insights from data. Working closely with business and technology teams, you will take ideas from concept to production, delivering scalable, secure, and impactful AI products.
Accountabilities
- Design, develop, deploy, and monitor machine learning and AI solutions addressing business-critical challenges.
- Translate business requirements into data science and AI use cases, defining success measures and evaluation criteria.
- Analyze large and complex datasets to generate actionable insights, predictive models, and decision-support solutions.
- Develop and optimize machine learning models through feature engineering, validation, testing, and performance tuning.
- Build and deploy LLM-powered, retrieval-augmented, and agentic AI applications for automation, knowledge management, and business process optimization.
- Design document intelligence, search, and information retrieval solutions using structured and unstructured enterprise data.
- Establish evaluation frameworks, monitoring, observability, and governance controls to ensure solution quality, reliability, and cost efficiency.
- Collaborate with engineering teams to deliver scalable, secure, and production-ready AI applications integrated with enterprise platforms and systems.
- Lead discovery workshops, process assessments, and stakeholder engagements to identify and prioritize AI opportunities.
- Communicate findings, recommendations, and model outcomes through effective storytelling, visualization, and executive-level presentations.
- Promote best practices in machine learning, AI engineering, responsible AI, and data governance.
- Stay current with emerging trends and technologies across artificial intelligence, machine learning, generative AI, and advanced analytics.
Education & Experience
- Bachelor's degree in Computer Science, Data Science, AI, Mathematics, Statistics, or a related discipline.
- 5+ years of experience in Data Science, Machine Learning, or AI, including 2+ years delivering production-grade Generative AI solutions.
- Strong Python skills with hands-on experience in machine learning frameworks such as Scikit-learn, TensorFlow, or PyTorch.
- Experience building and deploying LLM, RAG, and agentic AI solutions using platforms such as Azure OpenAI, OpenAI, LangChain, or Semantic Kernel.
- Solid understanding of machine learning, statistical modelling, predictive analytics, and AI evaluation practices.
- Experience deploying AI solutions in cloud environments (Azure, AWS, or GCP) with knowledge of APIs, CI/CD, and containerization.
- Experience integrating AI solutions with enterprise systems and business processes.
- Strong communication, stakeholder management, and problem-solving skills, with the ability to work independently in a fast-paced environment.
Etihad Airways is more than the UAE’s national airline - we’re shaping the future of global aviation. From our hub in Abu Dhabi, we connect people across continents and cultures, while driving our “Journey 2030” ambition to double our fleet, expand our network and grow our people for a new era of excellence. Join us and become part of a vision where the world is your workplace and extraordinary experiences take flight.
To learn more visit www.etihad.com
Recruitment Fraud Alert
Beware of fraudulent job offers from individuals or organizations claiming to represent the Etihad group. We will never ask for personal information, bank details, or payment during the recruitment process. Interviews are conducted face-to-face or via video/telephone before any formal offer. If you are asked for money, please treat it as fraudulent.
How we rate this
Data Scientist AI - 36 Months at Etihad Airways rates 95 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.
Skills and AI tools this role asks for
Questions you could be asked
- How would you design a retrieval step so the model answers from real data instead of guessing?
- How do you decide that one model's output is better than another's for a given task?
- How do you think about the risk of an AI system in this kind of role failing silently?
- What's a project where you used OpenAI hands-on?
- Walk me through how you've used LangChain in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: RAG, AI Evaluation, AI Safety, OpenAI, and LangChain. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped — this role is judged on the AI system itself, not the tools around it.
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