Job description

Role Introduction

Reports to: Customer Lifestyle Analytics Manager / Data Science Manager

This position is responsible to:

  • Deliver actionable analytics and insights and extend it as an integral component of major business change and investment programmes, including in flight operations, services deliveries, customer & loyalty management as well as sales management
  • Drive a combination of mathematical rigor and innovative algorithm design to extract relevant insights from data
  • Collaborate with stakeholders to build and deliver data science solutions to facilitate business transformation, with measurable impact.
  • Lead individual use cases to ensure business needs are met and value delivered.

Key Responsibilities

  • Work with the business to help translate unstructured business questions into quantitative problems.
  • Provide advanced analytics support including machine learning, big data, and advanced statistical modelling across the companies’ functional areas including operations, commercial, and customer domains.
  • Advise on appropriate analytical models based on available data, technology and platform.
  • Work with key stakeholders and partners to implement solutions.
  • Evaluate machine learning algorithm and models, and provide technical recommendations to business units for decision making.
  • Influence key stakeholders to ensure insights are used to maximise value.
  • Make intelligent approximations to the model if required to make it scalable and operatable.
  • Prototyping advance analytics and machine learning solutions and optimise iteratively for business partners.
  • Monitor data science products performance to ensure its business values are delivered as per designed, and initiate necessary corrective actions.
  • Partner with IT in productionalizing machine learning models.
  • Anticipate needs and lead implementation of capabilities such as data modelling, algorithms, new technology & partners.
  • Recommend and implement the development path of capabilities and skillsets to foster a culture of applying data & insight driven culture in decision making.
  • Drive knowledge sharing and improvement in analytics skills within the data science community and across Digital Streams and relevant business units.


The ideal candidate will be a strong advocate for adoption of data science and have a passion for experimentation of application of AI and uncovering business value

  • Master degree (or equivalent education qualifications) in Computer Science, Econometrics, Mathematics, Operation Research, Statistics or related disciplines.
  • Minimal 5 years’ work experience in data science, proven track record of leveraging large amount of data to drive significant business impact.
  • Advanced analytical skills, experience in recommending appropriate algorithm and methodology for problem-solving and decision making, leveraging both logic and creativity.
  • Experience in ASW cloud stack is highly preferred.
  • Experience in protoyping and productionalizing advance analytics solutions in business.
  • Expert in statistical analysis tools and machine learning languages (Ideally Python, Spark) other big data tools (e.g. R, Hive, Hadoop), as well as query languages (e.g. SQL).
  • Proficiency in data visualization tools, ideally Qlikview, PowerBI.
  • Proficiency in analytics & query tools e.g. Alteryx.
  • Essential to have strong understanding in database concepts & data modelling, business intelligence disciplines & data management tools.
  • Sound communication skills to work with business partners of different levels and background. Be able to articulate ideas verbally and in written forms.
  • Solid understanding of latest analytics technology and concepts, trends of platform & tools

Personal & Application Information

Cathay Pacific is an Equal Opportunities Employer. Personal data provided by job applicants will be used strictly in accordance with our personal data policy and for recruitment purposes only. Candidates not notified within eight weeks may consider their application unsuccessful. All related information will be kept in our file for up to 24 months. A copy of our Personal Information Collection Statement will be provided upon request by contacting our Data Protection Officer.

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