Lead R Engineer / Data Scientist - Integrated Pest Management & Soil Science

St James's Square

3 months ago

Applications closed

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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

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