Lead R Data Scientist - Sustainability

Morris Sinclair Recruitment
London, England
11 months ago
Applications closed

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Base pay range

This range is provided by Morris Sinclair Recruitment. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Overview

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 the lead technical specialist in our R-focused Research Software Engineering group. You\'ll create and maintain the technical infrastructure that enables our sustainability experts and data scientists to develop innovative agricultural sustainability solutions.

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 into production-ready code
  • Collaborate with our Engineering department to align code design, versioning strategies, and release cycles
Essential Qualifications
  • 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
Qualifications
  • 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

If you are based in the UK and meet the criteria listed then apply now! The Morris Sinclair team will give you a call.

Seniority level
  • Mid-Senior level
Employment type
  • Full-time
Job function
  • Information Technology
Industries
  • IT Services and IT Consulting and Environmental Services

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