Transport Data Science Manager

Overview

The Project

You’ll Be Responsible For

• Lead the development of integrated transport data strategies across all mobility modes, defining clear use cases, KPIs, and performance frameworks aligned to business and customer outcomes.
• Deliver advanced analytics and AI solutions, including predictive modelling for demand, ridership, fleet optimisation, traffic management, safety, and customer insights.
• Enable scalable, cloud-based data and AI architectures, supporting personalised mobility experiences and ensuring seamless integration with AV and MaaS platforms.
• Establish and maintain robust data governance and knowledge management frameworks, ensuring data quality, compliance, traceability, and effective lifecycle management of data assets and models.
• Works collaboratively towards the common goal of net zero carbon transition, and share responsibility for the proactive identification and management of the associated carbon emissions and reductions during the delivery of work.

You’ll Need To Have

• Bachelor’s degree in data science, Data Engineering, AI/Machine Learning, Transport Systems Engineering, or a related discipline.
• Proven experience (8+ years) in transport data engineering and AI/ML, with GCC experience highly regarded.
• Necessary visa criteria for the Kingdom of Saudi Arabia and have relevant work experience working on high-valued projects/programmes for a project management consultancy business, which are required for immigration and client approval.
• Our values
• Safety first - Going home safe and well:
• We champion a safe, diverse, and inclusive working environment, understanding the importance of well-being in every team.
• Client focus - Deliver on our promise:
• We own the quality of deliverables and strategic outcomes and build long-term relationships with our clients.
• Integrity - Always do the right thing:
• We influence positive outcomes within our industry while always aligning with our compliance obligations.
• Create opportunity - For our people to excel:
• We champion a continuous improvement culture throughout all activities, inspiring our people and teams to develop.
• Mace is an inclusive employer and welcomes interest from a diverse range of candidates.
• Even if you feel you do not fulfill all the criteria, please apply, as you may still be the best candidate for this role or another role within our organisation.
• We are also open to discussing part-time, flexible, and hybrid working options if suitable within the role.