Applied Scientist / Data Scientist | Population Modelling | Python Human Behaviour | Agent-Based Modelling | Urban Simulation | Data Storytelling SR2 is working with a cutting-edge simulation and decision intelligence company, to help them scale their modelling capability. We’re looking for an Applied Scientist/Data Scientist to join their multidisciplinary team building predictive models of cities — from population behaviour and infrastructure impact to transport, economy, and terrain. This role sits at the intersection of scientific modelling, geospatial data, and simulation tooling. You’ll be responsible for designing, validating, and implementing models that help government clients explore complex “what if” scenarios at national scale. Key Responsibilities: Research, design, and implement models for human behaviour, social systems, and population dynamics Translate customer requirements into scientifically robust simulations and decision tools Build and deliver production-grade models and notebooks in Python Evaluate and integrate third-party data sources into synthetic environments Collaborate with engineering teams to scale model delivery and usability Analyse and present simulation outputs to technical and non-technical stakeholders Advocate for model explainability, rigour, and responsible data storytelling Experience: Proficiency in Python and strong background in scientific or mathematical modelling Experience in one or more of: crowd modelling, agent-based modelling, social media or behaviour simulation Understanding of geospatial data and how it influences population or infrastructure systems Full lifecycle experience from literature review to prototype, implementation, and validation Strong communicator, capable of storytelling through data and explaining simulation results STEM degree with a mathematical focus (PhD desirable but not essential) The Details: Rate: £650-700p/d 6 months rolling (2 years project) Location: 2 days per week in central London Mission-led projects working at the cutting edge of national digital infrastructure Work alongside experts in engineering, data science, and urban systems If you're an applied scientist who wants to build the models powering the future of smart, resilient cities — apply now for immediate consideration.