The company combines construction expertise with consultancy to unlock potential in every person or project and redefine the boundaries of ambition. We are seeking a Transport Data Scientist to lead the development of data-driven intelligence across our mobility ecosystem in one of the largest programmes in Saudi Arabia. This unique project includes major mixed-use developments featuring sports, entertainment, and arts facilities, along with all associated infrastructure.
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In this role, you will develop advanced transport data models, AI-enabled insights, and scalable cloud-based data platforms, ensuring the integration of solutions with high quality and performance. You will work closely with technology vendors, autonomous vehicle providers, system integrators, and internal stakeholders.
Responsibilities:
- 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, ensuring seamless integration with AV and MaaS platforms.
- Establish and maintain data governance and knowledge management frameworks to ensure data quality, compliance, and effective lifecycle management of data assets and models.
- Collaborate towards net zero carbon transition by managing associated carbon emissions and reductions during project delivery.
Requirements:
- 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.
- Possess necessary visa criteria for the Kingdom of Saudi Arabia and relevant work experience in high-value projects for a project management consultancy.
The company is committed to fostering a safe, diverse, and inclusive working environment and welcomes applications from a broad range of candidates. We also offer part-time, flexible, and hybrid working options if suitable for the role.
