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Changi Airport Group

Title: Data Scientist (Manager), Airport Operations Technology & Corporate IT

Changi Airport Group
BusinessSingaporeFull-time2 weeks ago
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About the role

AI summarised

This is a Data Scientist (Manager) role within Airport Operations Technology and Corporate IT at an aviation company. The role involves leading end-to-end data science projects, collaborating with stakeholders, and supporting AI education and training initiatives across the organization.

BusinessFull-time6931

Key Responsibilities

  • Deliver end-to-end data science projects, including data collection, processing, feature engineering, model building, testing, deployment, and monitoring.
  • Collaborate with product owners, engineers, and business stakeholders to define requirements, translate needs into solutions, and ensure measurable impact.
  • Perform exploratory data analysis and communicate findings to both technical and non-technical audiences.
  • Design, build, and validate machine learning models and algorithms to support airport operations and business functions.
  • Ensure quality, scalability, and responsible use of data science solutions.
  • Provide technical guidance to one junior data scientist in the team.
  • Support the design and delivery of AI awareness and training programmes to upskill staff across the organisation.
  • Contribute to the development of best practices, guidelines, and governance for safe and responsible adoption of AI solutions.
  • Keep abreast of emerging AI technologies, tools, and industry trends to share knowledge and inspire adoption.
  • Work with business units to promote AI 'smart adoption' and help staff better leverage AI-driven tools in their work.

Requirements

  • Bachelor's degree in Computer Science, Data Science, Statistics, or a related field. Master's degree preferred.
  • At least 5 years of experience in data science, with proven track record in delivering end-to-end projects.
  • Strong proficiency in Python, SQL, and machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
  • Experience with data visualisation and communicating insights to non-technical stakeholders.
  • Knowledge of AI governance, ethics, or training design is a plus.
  • Strong interpersonal and communication skills; able to collaborate across functions and engage diverse stakeholders.