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- Tasks: Lead R Data Scientist role focused on creating sustainable agricultural solutions.
- Company: Innovative software company transforming agriculture with science-backed sustainability analytics.
- Benefits: Enjoy remote work flexibility and a dynamic startup culture.
- Why this job: Make a real impact in sustainability while collaborating with experts in a supportive environment.
- Qualifications: Master's degree in informatics/life sciences or equivalent experience; strong R programming skills required.
- Other info: Must be UK-based; no visa required.
The predicted salary is between 43200 - 72000 £ per year.
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 Scientist – Sustainability 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 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 If you are based in the UK and meet the criteria listed then apply now! The Morris Sinclair team will give you a call
Lead R Data Scientist - Sustainability employer: Morris Sinclair Recruitment
Contact Detail:
Morris Sinclair Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead R Data Scientist - Sustainability
✨Tip Number 1
Familiarise yourself with the latest trends in agricultural sustainability and R programming. This will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Network with professionals in the sustainability and data science fields. Attend relevant webinars or local meetups to connect with others who might provide insights or referrals for the position.
✨Tip Number 3
Showcase your leadership skills by discussing any past experiences where you guided a team or implemented best practices in R programming. This will demonstrate your capability to lead the technical aspects of the role.
✨Tip Number 4
Prepare to discuss your experience with CI/CD systems and version control during the interview. Be ready to provide examples of how you've successfully managed dependencies and ensured reproducibility in your projects.
We think you need these skills to ace Lead R Data Scientist - Sustainability
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with R programming, package development, and any relevant projects in sustainability or agricultural sectors. Use keywords from the job description to align your skills with what the company is looking for.
Craft a Compelling Cover Letter: In your cover letter, express your passion for sustainability and how your background in data science can contribute to the company's mission. Mention specific experiences that demonstrate your leadership and technical skills, particularly in R and spatial analytics.
Showcase Relevant Projects: If you have worked on projects related to GIS systems, spatial data analysis, or agricultural sustainability, be sure to include these in your application. Provide links to any relevant work or GitHub repositories to showcase your coding abilities.
Highlight Collaboration Skills: Since the role involves collaboration with IT teams and other departments, emphasise your teamwork and communication skills in your application. Share examples of successful collaborations and how they led to improved workflows or project outcomes.
How to prepare for a job interview at Morris Sinclair Recruitment
✨Showcase Your R Expertise
Be prepared to discuss your experience with R programming in detail. Highlight specific projects where you've developed R packages or implemented complex data analyses, especially in sustainability contexts.
✨Demonstrate Leadership Skills
Since this role involves leading a team, be ready to share examples of how you've guided others in technical best practices. Discuss your approach to mentoring and how you ensure high standards in code architecture and documentation.
✨Familiarise Yourself with CI/CD Practices
Understand the principles of Continuous Integration and Continuous Deployment (CI/CD) as they relate to R environments. Be ready to explain how you've implemented these practices in past roles to enhance team workflows.
✨Connect Your Experience to Sustainability
Make sure to relate your technical skills back to the agricultural sustainability focus of the company. Discuss any relevant projects or knowledge you have regarding environmental sustainability concepts and how they can be applied in agricultural settings.
