Data Scientist

OverviewAs part of the Innovation team, the Data Scientist will be responsible for leveraging data to enhance key areas of the airline’s operations. This role applies advanced statistical methods and machine learning techniques to develop AI-driven solutions that improve efficiency and elevate the customer experience. The Data Scientist will analyze complex datasets, predict trends, and optimize processes across multiple operational domains, contributing to measurable improvements in performance, reliability, and competitiveness.AccountabilitiesData Analysis and Modeling: 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 optimize machine learning models to improve accuracy, efficiency, and scalability, while also 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.Education & ExperienceBachelors 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 to real-world problems.Familiarity with data visualization 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 organization.About Etihad AirwaysEtihad Airways, the national airline of the UAE, was formed in 2003 and quickly went on to become 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. In recent years, Etihad has received numerous awards for its superior service and products, cargo offering, loyalty programme and more. All this ties into Etihad’s ambitious Journey 2030 strategy.#J-18808-Ljbffr