The company is seeking a hands-on Data Science and AI professional to join our Solutions & Innovation team to develop advanced analytical solutions that support our Revenue Management function. This role involves taking ownership of data science and machine-learning projects from conceptualization to production. You will define problems, develop models, build and test proof-of-concepts, deploy solutions, and continuously improve their performance.
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Key responsibilities include:
- Leading data science, machine-learning, and AI projects from ideation through development and deployment.
- Developing and enhancing machine-learning models for dynamic pricing and forecasting.
- Evolving our in-house ancillary dynamic pricing capability to drive smarter commercial decisions.
- Identifying opportunities to apply AI and machine learning to real business challenges.
- Building new analytical products and improving existing solutions.
- Partnering with multiple teams to translate complex problems into scalable technical solutions.
- Communicating analytical outputs in a commercially actionable manner.
This role offers the unique chance to see the direct impact of your work in a dynamic and growing airline, aligning with the company’s "Journey 2030" strategy.
Location: Abu Dhabi, Abu Dhabi Emirate, United Arab Emirates
Work Conditions: On-site, Full-time
Qualifications:
- Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, Information Technology, or a related field.
- Over 5 years of experience in data science, machine learning, AI, or advanced analytics.
- Proven experience in building machine-learning models from start to finish.
- Proficiency in Python and/or R, and experience with modern data science tools and platforms.
- Knowledge of cloud environments such as GCP, Azure, or AWS, and experience with large datasets.
- Strong leadership and stakeholder management skills.
- Financial modeling and analytical insight skills with a background in Revenue Management, pricing, or optimization preferred.
- Airline or travel industry experience is highly valuable but not mandatory.
Language Requirements: Not specified.
