Lead Model Developer – ABM
Job Description
In this role, you’ll:
· Drive the evolution of foundational models by applying innovative techniques and data science practices that align with stakeholder needs and emerging transport trends.
· Oversee the prioritisation and planning of model development and enhancement activities in close consultation with model product owners and business stakeholders.
· Provide strategic and technical leadership to the model development team, ensuring high standards of modelling methodologies, tools, and practices are used across all stages of model lifecycle.
· Collaborate with the Model Assurance Manager to deliver rigorous assurance processes, validating modelling assumptions, data inputs, and outputs to ensure transparency, reliability, and external defensibility.
· Stay abreast of global and national advancements in transport modelling, forecasting methodologies, and related technologies, and translate insights into continuous improvement initiatives.
· Champion the integration of real-world travel behaviour insights and system design thinking into the modelling process to ensure outputs reflect actual transport system use and future network demand.
For more information, please view a copy of the role description and the information pack.
About you
· Experience in developing and maintaining strategic transport and freight models, especially in Activity-Based Modelling (ABM).
· Strong understanding of transport and traffic planning, travel behaviour, and multimodal networks across urban, regional, and freight contexts.
· Hands-on experience using EMME and other transport modelling platforms for building, calibrating, and validating large-scale transport models.
· Proficient in Python, with experience applying it to modelling workflows, automation, and data integration.
· Demonstrated ability to lead technical teams, provide guidance, and oversee planning, delivery, and review of modelling projects.
· Experience working with stakeholders to clearly communicate assumptions, outputs, and limitations.
· Knowledge of data science tools and modelling techniques to support scenario testing and advanced forecasting.
· Strong written and verbal communication skills, with the ability to explain complex results to non-technical audiences.
· Experience contributing to or developing modelling roadmaps, strategies, or improvement initiatives.
Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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