Summary: The role of Freelance Applied Modelling & Simulation Scientist involves developing advanced simulations to assist partner organizations in making data-driven decisions. The position requires end-to-end management of the model lifecycle, from research to implementation, and necessitates collaboration with engineers and data scientists. The successful candidate will also analyze datasets and present findings to stakeholders in an accessible manner.

Key Responsibilities:

• Develop and refine agent-based models (ABMs) for urban planning, transport networks, and human behaviour simulations.
• Manage the entire model lifecycle from research and prototyping to implementation and validation.
• Analyze third-party datasets and integrate them into simulation environments.
• Collaborate closely with engineers and data scientists to ensure high-performance, scalable models.
• Present insights and model outcomes to key stakeholders, adapting technical findings for different audiences.

Key Skills:

• Strong Python programming skills.
• Expertise in agent-based modelling, model validation, and calibration.
• Experience with large-scale simulations, ideally related to urban infrastructure or human behaviour.
• Knowledge of geospatial data, transport modelling, or cloud-based simulation tools is advantageous.
• A degree in a STEM subject with a mathematical component; a PhD is a plus.

Salary (Rate): undetermined

City: London

Country: United Kingdom

Working Arrangements: undetermined

IR35 Status: undetermined

Seniority Level: undetermined

Industry: IT