Senior Data Science Consultant at Billigence, City of London/Remote, 3 Months initial, £Contractor Rate (Outside IR35)

Senior Data Science Consultant (Outside IR35)

Who we are

Billigence is a boutique data consultancy with global reach, helping organisations transform the way they work with data. We specialise in delivering high-impact data solutions across Business Intelligence, Data Engineering, Data Governance, Cloud Data Platforms, and Advanced Analytics. Headquartered in Sydney with offices across the UK, Europe, and APAC, Billigence partners with organisations to design and implement modern data platforms that drive better decision-making and business outcomes.

Our teams work on complex, enterprise-scale data programmes across a variety of industries including retail, financial services, and technology.

About the role

Billigence is supporting an agriculture-focused initiative that aims to apply advanced data science to real-world farming and supply chain challenges.

We are looking for an experienced Data Science Advisor & Implementer with a strong background in agricultural modelling and analytics. 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.

The engagement will initially run for 3 months, with the potential to extend into a longer-term collaboration

What you'll do

• 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

What you'll need

• 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
• Strong communication skills and the ability to explain complex concepts clearly