Act as both a strategic advisor and hands-on data science practitioner
Design, build, and evaluate data science models addressing agricultural challenges
Apply advanced modelling approaches, including Bayesian methods and probabilistic reasoning
Ensure models are explainable and interpretable for non-technical stakeholders
Translate analytical techniques into practical solutions used in real-world operations
Work closely with stakeholders to ensure models align with agricultural processes and constraints
Guide stakeholders on how analytical outputs integrate into business and field operations
Provide recommendations on how data science capabilities can scale over time

Proven experience applying data science to agricultural or environmental problems
Strong expertise in statistical modelling and machine learning
Experience working with Bayesian methods and probabilistic modelling
Ability to build interpretable and explainable models
Experience translating analytical work into practical operational outcomes
Strong academic background in Data Science, Econometrics, Economics, Social Sciences, or related disciplines
Experience working with agricultural datasets, farming systems, or commodity supply chains
Exposure to coffee or cocoa value chains is highly desirable

Senior Data Science Consultant – Outside IR35

Key skills