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Fully Remote Very Competitive Salary and Share Scheme R programming with exposure to Integrated Pest Management (IPM) & soil research Remote Role - Central London Office This is a fully remote role but you MUST be UK based and not require a visa to work. Lead R Data Science Engineer - Integrated Pest Management (IPM) & Soil Science Research & Solutions The Organisation Our client develops cutting-edge navigator software for the global agricultural sector, helping farmers transition toward more sustainable practices through science-backed analytics. Their software provides direct access to advanced sustainability models and insights. Their Sustainability division consists of specialised Research Software Engineers who transform scientific findings into practical models for farmers and land managers, enabling them to understand their systems better and build more sustainable, profitable operations. Position Overview We're seeking an experienced Data Engineer to join our client's Sustainability team as a lead technical specialist in our R-focused Research Software Engineering group to specialise particularly in Integrated Pest Management & associated soil science. You'll create and maintain the technical infrastructure that enables our sustainability experts and data scientists to develop innovative agricultural sustainability solutions to solve global issues in Integrated Pest Management (IPM) and soil science. Core Functions Lead technical best practices across R package design, code architecture, documentation, and dependency management Establish and oversee versioning and CI/CD systems to enhance team workflows Guide team members in code architecture, development standards, and deployment processes Serve as the technical authority for computationally demanding tasks, especially spatial analytics and GIS-based product development Implement scientific research findings around Integrated Pest Management (IPM) into production-ready code Collaborate with our Engineering department to align code design, versioning strategies, and release cycles Essential Qualifications Computer Science degree Geospatial experience Engineering career path Deep knowledge of R programming and package development Proven experience managing dependencies and ensuring reproducibility in R production environments Strong background in version control systems and CI/CD implementation History of successful collaboration with IT teams on data science workflows Proficiency with Windows and/or Linux environments Experience with GIS systems and spatial data analysis Exceptional problem-solving abilities and adaptability Leadership experience with strong communication skills Structured approach to quantitative challenges Comfort working in a dynamic startup environment Qualifications Microsoft Azure experience, particularly R integration Application containerization knowledge (Docker, etc.) Familiarity with Python, JavaScript, C++, bash, or other languages Web application development experience (React, .NET) Background in data security and IP protection workflows Knowledge of environmental sustainability concepts (carbon footprinting, lifecycle analysis, environmental modeling) Experience in agricultural or land management sectors with a background specifically in Integrated Pest Management (IPM) and soil science. If you are based in the UK and meet the criteria listed then apply now! The Morris Sinclair team will give you a call.