

Applied Scientist / Data Scientist | Population Modelling | Python
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an Applied Scientist/Data Scientist focused on Population Modelling using Python. It offers a 6-month rolling contract at £650-700 per day, hybrid work in central London, requiring expertise in scientific modelling and geospatial data.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
700
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🗓️ - Date discovered
July 9, 2025
🕒 - Project duration
More than 6 months
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🏝️ - Location type
Hybrid
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
London, England, United Kingdom
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🧠 - Skills detailed
#Data Storytelling #Storytelling #Data Science #Python #Spatial Data
Role description
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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.