Transport Data Science Manager

Position status: This opportunity is for a bid, so it is not yet a secured role.

If you would like to be considered as we progress with this position, please click to apply.

Mace combines construction expertise with consultancy to unlock potential in every person or project and redefine the boundaries of ambition.

Our values shape the way we consult and define the people we want to join us on our journey.

The project: This is an opportunity to work on one of the largest programmes in Saudi Arabia.

This unique project consists of major mixed-use development including sports facilities, entertainment and arts along with all associated infrastructure.

Mace is one of the delivery partners requiring high-calibre and experienced professionals to lead integrated teams throughout each phase of the project.

We are seeking a Transport Data Scientist to lead the development of data-driven intelligence across our mobility ecosystem.

This role will deliver advanced transport data models, AI-enabled insights, and scalable cloud-based data platforms, underpinned by robust governance and knowledge management frameworks.

Working in close partnership with technology vendors, autonomous vehicle providers, system integrators, and internal stakeholders, the role will ensure data platforms and analytics solutions are clearly defined, effectively integrated, and delivered to the highest standards of quality and performance.

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.