Crowd Modeller

WSP is currently seeking a Senior Transport Planner – Pedestrian Modelling to join our Transportation and Infrastructure Division in Bangalore, Noida, or Mumbai with 6+ years of experience in developing, calibrating and analysing pedestrian and crowd simulation models for railway stations, metro, LRT systems, large transit facilities and entertainment / sports event holding facilities. The role involves applying advanced modelling tools and data-driven techniques to optimise passenger flow, station design, and crowd management strategies across various transportation projects

• Develop, calibrate, and maintain advanced passenger behaviour simulation models across multiple transportation modes, including rail, bus, air, and urban mobility systems.
• Apply both static and dynamic modelling techniques, integrating data-driven insights such as demographics, user preferences, and crowd dynamics to improve accuracy and realism.
• Validate, test, and document simulation models to ensure quality, reliability, and compliance with industry standards.
• Collaborate with cross-functional teams—such as data scientists, software developers, and project managers—to integrate models into products and project deliverables.
• Prepare clear technical reports, visualizations, and presentations to communicate modelling results and insights to clients and stakeholders.
• Engage directly with clients to understand requirements, tailor simulation approaches, and provide technical support throughout implementation.
• Monitor emerging trends and research in passenger behaviour and modelling techniques to continuously improve methodologies.
• Mentor and support junior team members, fostering knowledge-sharing and professional development.
• Foster collaboration across WSP within India and globally.
• Train and mentor junior staff.
• Other duties as assigned/required.

Mandatory Skills

• Proven experience in developing passenger behavior simulation models within transportation, urban planning, or related industries.
• Direct experience in both static and dynamic passenger modelling, such as Legion, Viswalk, and MassMotion will be an asset.
• Proficiency in programming languages such as Python and/or Excel with VBA.
• Strong analytical and problem-solving skills with the ability to work on complex mathematical models and algorithms.
• Knowledge of data analysis and visualization tools (e.g., MATLAB, R) is a plus.
• Familiarity with transportation systems, crowd dynamics, and human factors is highly advantageous.
• Previous involvement in the development of the Crowd Control Plan (CCP) will be an asset.
• Previous experience in performing passenger movement analysis in major transit facilities will be an asset.
• Excellent communication skills with the ability to collaborate effectively in a team environment.
• Passion for innovation and a desire to contribute to the future of passenger experience in the transportation industry.
• Exposure to international delivery models and remote collaboration.
• Strong communication and documentation skills.
• Bachelor's or Master's degree in Urban/Transportation Planning, Civil/Transportation Engineering, Applied Mathematics, or a related field.
• International professional qualification, or eligibility to be registered as such.

BGV

• Employment with WSP India is subject to the successful completion of a background verification (“BGV”) check conducted by a third-party agency appointed by WSP India.
• Candidates are advised to ensure that all information provided during the recruitment process — including documents uploaded — is accurate and complete, both to WSP India and its BGV partner”.