Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead R Data Scientist to develop innovative sustainability solutions for agriculture.
- Company: Join a cutting-edge tech company focused on sustainable agricultural practices.
- Benefits: Fully remote role with competitive salary and opportunities for professional growth.
- Why this job: Make a real impact in sustainability while working with advanced technology.
- Qualifications: Master's degree in informatics or life sciences, or equivalent experience in R programming.
- Other info: Dynamic startup environment with strong collaboration and leadership opportunities.
The predicted salary is between 48000 - 72000 £ per year.
This is a fully remote role but you MUST be UK based and not require a visa to work.
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 are 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 will 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
Network like a pro! Reach out to folks in the agricultural and sustainability sectors on LinkedIn. Join relevant groups and engage in discussions. You never know who might have a lead on your dream job!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your R projects, especially those related to sustainability. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss your experience with CI/CD systems and how you've tackled complex data challenges in the past.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love hearing from passionate candidates like you!
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 is tailored to the Lead R Data Scientist role. Highlight your experience with R programming, package development, and any relevant projects in sustainability. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about sustainability and how your background makes you the perfect fit for our team. Keep it engaging and personal – we love to see your personality come through!
Showcase Your Technical Skills: Don’t forget to highlight your technical expertise, especially in R, version control systems, and CI/CD practices. We’re looking for someone who can lead technical best practices, so make sure we can see that experience clearly in your application.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the easiest way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at Morris Sinclair Recruitment
✨Know Your R Inside Out
Make sure you brush up on your R programming skills before the interview. Be ready to discuss your experience with package development, version control systems, and CI/CD implementation. They’ll want to see that you can not only code but also lead best practices in R.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex problems in previous roles, especially those related to spatial analytics or GIS-based product development. Highlight your structured approach to quantitative challenges and how it led to successful outcomes.
✨Familiarise Yourself with Sustainability Concepts
Since this role is focused on sustainability, brush up on environmental concepts like carbon footprinting and lifecycle analysis. Being able to discuss these topics will show your genuine interest in the field and how your expertise aligns with their mission.
✨Communicate Your Leadership Experience
Be ready to talk about your leadership style and experiences. They’re looking for someone who can guide team members and establish technical best practices, so share specific instances where you’ve successfully led a team or project.