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- Fully Remote - UK Based
- Working with some of the industry leaders
- Amazing share scheme option
- 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 into production-ready code
- Collaborate with our Engineering department to align code design, versioning strategies, and release cycles
- Master's degree or equivalent in informatics or life sciences (or bachelor's degree with 5+ years relevant industry experience)
- 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
- 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
