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In this role, you help drive impact for clients in agriculture and nature by applying cutting-edge analytics and geospatial methods. You will split time between delivering client-facing insights and strengthening ACRE’s core analytical offerings. You contribute to nature-positive and food-system-related outcomes through data-driven strategies and real-time analytics. You join a collaborative, fast-learning environment with strong mentorship and global peers, shaping solutions at scale.

Compensaciones / Ventajas

- Deliver client impact using analytics and geospatial methods, remotely or on site
- Strengthen and develop core analytical offerings and algorithms for clients
- Provide insights to client service teams and within ACRE to support informed decisions
- Apply real-time data and advanced analytics/AI (predominantly predictive or geospatial) to agriculture and nature problems
- Design geospatial workflows and pipelines for data analysis; work with version control and collaboration tools
- Engage in multi-disciplinary teamwork, balancing client needs with internal capability building




- Participate in in-person trainings and learn from senior leaders to accelerate growth
- Travel to client sites up to 50% and attend global trainings

Responsabilidades

- Master's in a quantitative agriculture- or nature-related field
- Strong experience with agronomy/crop science, animal sciences and farm-level production systems, and/or nature- and natural-capital topics
- Geospatial and spatiotemporal analysis, remote sensing, image processing
- Strong analytical and problem-solving skills; ability to develop creative, efficient solutions
- Clean, efficient coding in Python; experience with parallel processing and xugodme cloud computing
- Ability to design and develop geospatial workflows; proficiency with version-control u0026 collaboration tools
- Strong multitasking and parallel development abilities
- Strong interpersonal communication skills; collaborative and proactive mindset
- Creative, curious, and willing to take intellectual risks
- Willingness to travel up to 50%

Requisitos principales

- competitive salary
- comprehensive benefits package
- world-class training and mentorship
- travel opportunities to client sites
- in-person trainings
- global collaboration

📌 Data Scientist - Agriculture & Nature Analytics (Madrid)
🏢 McKinsey u0026
📍 Madrid