Data Science Leader

3 days ago

Kuala Lumpur, Kuala Lumpur, Malaysia AirAsia Full time

At AirAsia, we are on a mission to transform aviation through the power of data.

Airline Analytics Expert

We are seeking an experienced Senior Manager, Data Scientist to lead our airline analytics efforts and drive innovation in aviation.

The ideal candidate will have a strong background in data science, machine learning, and aviation analytics, with experience leading cross-functional teams and delivering real-world impact.

The Senior Manager, Data Scientist will play a critical role in leveraging data to optimize airline operations, enhance customer experience, and drive revenue growth.

This role sits within AirAsia Digital's Group Data team, which leads the airline's data transformation, spanning predictive and prescriptive analytics, AI/ML, intelligent scheduling, and operational optimization.

The successful candidate will be responsible for developing predictive models to optimize fleet utilization, demand forecasting, crew scheduling, and revenue management.

They will also oversee the airline's data lake and analytics infrastructure, ensuring seamless data integration across commercial, operational, and financial functions.

The ideal candidate will have a strong understanding of aviation industry regulations, data governance, and privacy standards.

They will also have experience working with large, complex aviation datasets, including flight schedules, passenger bookings, load factors, weather, fuel consumption, and maintenance records.

The Senior Manager, Data Scientist will collaborate with airline operations teams to design and deploy data-driven solutions.

They will also represent AirAsia in strategic data partnerships with Google, AIMS, Airbus, GE, Navitaire, and academia.

  • Lead and develop a high-performing team of 40 data scientists, data analysts, and data engineers focused on aviation-specific use cases.
  • Manage four pillars composed of Predictive Modelling, Data Analytics, Data Engineering, and Operational Research teams.
  • Work with large, complex aviation datasets (e.g., flight schedules, passenger bookings, load factors, weather, fuel consumption, maintenance records) to extract actionable insights.
  • Develop predictive models to optimize fleet utilization, demand forecasting, crew scheduling, and revenue management.
  • Enhance real-time operational decision-making through AI-driven analytics, including anomaly detection and automated recommendations.
  • Collaborate with airline operations teams (Network Planning, Revenue Management, Ground Operations, Engineering & Maintenance) to design and deploy data-driven solutions.
  • Build scalable machine learning and optimization pipelines for applications such as predictive maintenance, baggage handling efficiency, and disruption management.
  • Work closely with engineering teams to deploy models in a cloud-based production environment (Google Cloud Platform, Tableau, Kubernetes, Spark, Airflow).
  • Ensure compliance with aviation industry regulations, data governance, and privacy standards (ICAO, GDPR, etc).
  • Represent AirAsia in strategic data partnerships with Google, AIMS, Airbus, GE, Navitaire, and academia, driving innovation and research collaborations.

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