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About Darwin

We're on a mission to revolutionize biodiversity impact assessment. Our cutting-edge platform helps businesses measure and manage their biodiversity footprint, integrating seamlessly into ESG compliance tools and carbon accounting platforms via API.

🌍 The Opportunity

With CSRD regulation now mandatory, we're experiencing explosive demand. We've secured pre-seed funding and are working with leading consulting firms (Deloitte, KPMG, Carbone4, B&L Evolution, Utopies) and major organisations (Bouygues, Eurazeo).

What's next? We're scaling our platform features and commercial reach throughout 2026-2027 to capture the regulatory wave. We're investing >70% of our funding in tech to build Europe's dominant biodiversity platform.

👥 The Team

You'll join a tight-knit data team working closely with engineering and science:

• Cyprien (CPTO) — Product, engineering & GTM
• Antoine (CSO) — Science & biodiversity expertise
• Pierre (Head of Data/AI) — Data pipelines, ML & infrastructure
• Igor (Backend) — API & Rust core (15+ years XP)
• Olivier (Frontend) — Vue.js app (20+ years XP)

We move fast, own our work end-to-end, and ship features that directly impact enterprise clients.

🎯 The Role

As a Data Scientist, you'll report directly to our Head of Data/AI and work at the intersection of ecological science and machine learning. You'll develop models that power our biodiversity analytics and AI-driven insights.

Your mission:

• Develop and deploy machine learning models for biodiversity impact assessment and risk quantification
• Build NLP and AI systems to extract insights from environmental data and enable conversational interfaces
• Design and implement statistical models to quantify nature-related financial risks