We provide expert software and information solutions that the world’s leading professionals rely on, in the moments that matter most
Job Summary
We provide expert software and information solutions that the world’s leading professionals rely on, in the moments that matter most.
This role sits at the intersection of quantitative modelling, software engineering, and applied AI to build production-grade models that inform decision-making and forecasting.
Candidates will collaborate closely with product managers, domain experts, and engineers to shape modelling requirements and contribute to architectural decisions.
Matching Summary
We provide expert software and information solutions that the world’s leading professionals rely on, in the moments that matter most.
Skills & Requirements
Must-have
Quantitative modelling for environmental metrics
Strong programming experience in Python
Production-grade model implementation
Machine learning and AI techniques
Integration of models into backend services
Version control and testing frameworks
Nice-to-have
Time-series analysis and forecasting
Knowledge of environmental regulations
Experience with geospatial and sensor data
Exposure to MLOps and model lifecycle management
Experience in SaaS or product-led organisations
Curious and detail-oriented mindset
Key Requirements
Strong background in quantitative modelling or related field
Experience building environmental or financial models
Practical experience with machine learning libraries
Experience working with real-world noisy datasets
Proficiency in Python programming
Familiarity with software engineering best practices