Data Scientist

Job Title

Data Scientist at Etihad Airways

This is a rare and exciting opportunity at Etihad to harness the power of data science to drive real operational transformation—enabling smarter decisions, greater efficiency, and an elevated guest experience.

• Data Analysis and Modelling: Conduct in-depth analysis of large and complex datasets to extract meaningful insights and identify actionable opportunities for improvement.
• Algorithm Development: Design, develop, and deploy cutting‑edge predictive models and algorithms that address key challenges and opportunities within the aviation industry.
• Optimization and Automation: Continuously refine and optimise machine‑learning models to improve accuracy, efficiency, and scalability, while exploring opportunities for automation to streamline processes and reduce manual effort.
• Collaboration and Innovation: Collaborate closely with cross‑functional teams including software engineers, aviation experts, and business stakeholders to co‑create innovative solutions that address real‑world challenges and deliver tangible business value.
• Research and Development: Stay abreast of the latest advancements in data science, AI, and aviation technology, and proactively explore emerging trends and methodologies to drive continuous innovation and improvement.
• Communication and Stakeholder Engagement: Effectively communicate findings, insights, and recommendations to technical and non‑technical stakeholders through clear, compelling presentations and reports, and actively engage with stakeholders to gather feedback and ensure alignment with business objectives.

• Bachelor’s degree or higher in Computer Science, Statistics, Mathematics, Data Science, Aviation Engineering, or a related field.
• 5–7 years’ experience working as a Data Scientist or similar role, preferably in aviation or a related field.
• Proficiency in programming languages such as Python, R, or Java, as well as experience with data manipulation and analysis libraries (e.g., pandas, numpy, scikit‑learn).
• Strong understanding of machine‑learning techniques and algorithms such as regression, classification, clustering, neural networks, etc., with experience applying them to real‑world problems.
• Strong foundation in operational research (linear programming, resource allocation, network optimisation, etc.) to solve complex business and operational problems.
• Proficiency in SQL and experience with any of the Cloud Service Providers (GCP, AWS, Azure), ideally with Databricks.
• Familiarity with data visualisation tools such as Tableau, Power BI, or matplotlib.
• Knowledge of aviation operations and industry‑specific challenges and opportunities is desirable.
• Excellent problem‑solving skills, attention to detail, and the ability to work effectively both independently and as part of a team.
• Strong communication and interpersonal skills, with the ability to effectively collaborate with colleagues across various disciplines and levels of the organisation.

Etihad Airways, the national airline of the UAE, was formed in 2003 and quickly became one of the world’s leading airlines. From its home in Abu Dhabi, Etihad flies to passenger and cargo destinations in the Middle East, Africa, Europe, Asia, Australia and North America, and partners with codeshare airlines to extend its network. In recent years, Etihad has received numerous awards for its superior service and products, cargo offering, loyalty programme and more.

The airline’s Journey 2030 strategy aims to double its fleet size and triple the number of customers over the next six years.

Beware of fraudulent job offers from individuals or organisations 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.

Role Level: Entry‑Level

Work Type:
Full‑Time

Country:
United Arab Emirates

City:
Abu Dhabi

Company Website:

Job Function:
Information Technology (IT)

Industry/ Sector:
Airlines and Aviation