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

Description

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

Requirements

• Strong proficiency in Python, SQL, and machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
• Strong interpersonal and communication skills; able to collaborate across functions and engage diverse stakeholders.
• 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.
• Experience with data visualisation and communicating insights to non-technical stakeholders.
• Knowledge of AI governance, ethics, or training design is a plus.

Benefits

Training + Development

Interview process

Visa Sponsorship

Security clearance