5-10

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

9/25/2025

The role involves delivering end-to-end data science projects and supporting AI enablement initiatives. The candidate will collaborate with various stakeholders to ensure the effective use of AI in the organization.

Working Hours

40 hours/week

Company Size

1,001-5,000 employees

Language

English

Visa Sponsorship

About The Company

Changi Airport Group (CAG) is the manager of Singapore Changi Airport, a leading air hub in Asia and one of the world’s most awarded airports. As airport manager, CAG performs the key functions of airport operations, air hub development, retail and commercial activities, infrastructure development and airport emergency services. CAG also manages Seletar Airport, and through its subsidiary, Changi Airports International, it takes Changi’s presence beyond Singapore’s shores through consultancy projects and investments in foreign airports. Employing more than 2,000 staff across its diverse business functions, CAG was named the ‘Most Attractive Employer’ by Randstad in 2016, 2018 and 2025.

About the Role

This role focuses primarily on data science development and delivery, while also supports AI enablement and training initiatives to build organisation-wide AI awareness and adoption. The ideal candidate is hands-on with data science projects, yet comfortable engaging stakeholders and helping to upskill colleagues in responsible and effective AI use.

Key Responsibilities

Data Science

· 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.

AI Education & Training

· 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.

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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.

Key Skills

Data ScienceMachine LearningPythonSQLData VisualizationAI GovernanceCommunication SkillsStakeholder EngagementFeature EngineeringModel BuildingExploratory Data AnalysisTechnical GuidanceTraining DesignAI AwarenessEmerging TechnologiesCollaboration