Billigence is supporting an agriculture-focused initiative that aims to apply advanced data science to real-world farming and supply chain challenges
Job Summary
Billigence is supporting an agriculture-focused initiative that aims to apply advanced data science to real-world farming and supply chain challenges.
This is a hands-on advisory role, combining strategic guidance with practical implementation to help translate complex analytical approaches into operational solutions within agricultural value chains.
We are looking for an experienced Data Science Advisor & Implementer with a strong background in agricultural modelling and analytics.
Matching Summary
Billigence is supporting an agriculture-focused initiative that aims to apply advanced data science to real-world farming and supply chain challenges.
Skills & Requirements
Must-have
Data science models for agricultural challenges
Bayesian methods and probabilistic reasoning
Explainable and interpretable models
Translate analytical techniques to operational solutions
Agricultural datasets and farming systems
Nice-to-have
Strategic guidance and practical implementation
Coffee or cocoa value chains exposure
Scalability of data science capabilities
Key Requirements
Proven experience applying data science to agricultural problems
Strong expertise in statistical modelling and machine learning
Experience with Bayesian methods and probabilistic modelling
Ability to build interpretable and explainable models
Strong academic background in Data Science or related disciplines