Data Scientist

Synopsis



As a Data Scientist your primary responsibility is to utilize data to improve various aspects of the airline's operations. Apply advanced statistical and machine learning techniques to develop AI-driven solutions aimed at enhancing efficiency and customer experiences. Analyze data, predicting trends, and optimizing processes across different operational areas, contributing to incremental improvements in the airline's performance and competitiveness.

Accountabilities



Data 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 & Experience

• 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 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 Airways

Etihad 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. Together with Etihad’s codeshare partners, Etihad’s network offers access to hundreds of international destinations. 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. The airline plans to double its fleet size and triple the number of customers over the next six years as it sets out to be the airline everyone wants to fly!

To learn more, visit 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.