Senior passenger modelling specialist

Descripción del cargo

The Opportunity

Your Impact Starts Here.
As part of our Rail & Transit team, you will help shape high-performing transit environments across Canada. This hybrid role—based in Bogota city—puts you at the heart of projects that move people safely, efficiently, and sustainably.

Rail & Transit at WSP is proud to be recognized for project excellence and industry leadership, helping communities modernize mobility and elevate passenger experience nationwide.



Your Impact

Develop and maintain sophisticated passenger behaviour simulation models for rail, bus, aviation, and urban mobility systems.

Lead both static and dynamic passenger flow modelling using software such as LEGION, Viswalk, and MassMotion.

Collaborate with multidisciplinary teams—including engineering, architecture, landscape, and safety—to design integrated and human-centric simulation environments.

Conduct rigorous validation, calibration, and testing to ensure simulation reliability, accuracy, and alignment with industry standards.

Produce high-quality data visualizations, analyses, technical reports, and presentations for client and internal use.

Support client engagement by translating modelling outcomes into clear, actionable insights.

Stay current on crowd dynamics, human-factors research, and modelling best practices, and apply them to elevate project outcomes.

Contribute to design reviews, innovation sessions, and mobility planning problem-solving activities.

Support multiple passenger modelling projects, advising, guiding and overseeing outputs from junior/intermediate staff 



The Skills That Set You Apart

8+ years of experience in passenger modelling or agent-based simulation within transportation, mobility, or urban planning environments.

Proficiency in LEGION, Viswalk, MassMotion, or CAST modelling and strong capability in Python and Excel/VBA for analysis and automation.

Experience modeling major transit facilities and/or involvement in developing Crowd Control Plans (CCPs).

Strong analytical mindset with comfort navigating complex algorithms and mathematical models.

Knowledge of MATLAB or R for data visualization and interpretation.

Understanding of transportation systems, human factors, and crowd dynamics.

A collaborative, curious, and innovation-driven approach to solving mobility challenges.