Agronomy Graduate

Maidstone
1 month ago
Applications closed

Related Jobs

View all jobs

Research and Development Data Scientist

Research and Development Data Scientist

Are you looking for a field-based role where you can combine your agricultural knowledge and analytical mindset to help shape Fresh Produce supply decisions?
Agronomy Graduate Overview
The Agronomy Graduate role offers a unique opportunity to work at the intersection of crop science, data analysis, and commercial planning within the Fresh Produce sector.
You will play a critical part in helping the business forecast short and mid-term supply, ensuring the most accurate production data informs strategic decisions across a wide grower base.
The Agronomy Graduate role involves regular travel across the Midlands and fortnightly visits to Head Office in Kent, allowing some flexibility for the successful individual’s location.
This is a field-focused position (approximately 70% field, 30% office), and you will work closely with growers, agronomists, and internal stakeholders across the UK and occasionally in other EMEA regions.
Agronomy Graduate Key Responsibilities

  • Conduct weekly field visits to collect accurate crop production data from growers.
  • Monitor crop development and assess the impact of weather on short- and mid-term yields.
  • Support the analysis of production data to create accurate supply forecasts by grower, variety, treatment, and region.
  • Maintain and update seasonal production databases and forecasting tools.
  • Track forecast accuracy and support ongoing improvements in process and data quality.
  • Liaise closely with growers and internal teams including Operations, Supply Chain, and Planning.
  • Support broader forecasting strategy through collaboration across regions.
  • Contribute to the development of the region’s analytical and forecasting capabilities.
    Agronomy Graduate Key Requirements
  • A degree in Agriculture or a related field, with knowledge of data analytics and statistics
  • Experience in Horticultural or Fresh Produce crops, ideally with exposure to data analysis
  • Comfortable working in a field-based role with frequent travel to grower sites
  • Solid understanding of crop science and seasonal production cycles
  • Proficiency in Microsoft Excel, Word, and PowerPoint
  • Intermediate knowledge of statistical data analysis
  • Full UK driving licence
    This is an exciting opportunity for a proactive and detail-oriented individual to develop their career in a forward-thinking Fresh Produce business. The role offers growth potential and the chance to work at the core of a team focused on innovation, sustainability, and high-quality forecasting.
    If you are passionate about agriculture and enjoy turning data into decisions, please get in touch!
    This is a UK-based position. Applicants must have the legal right to work in the UK. Evidence of this right will be requested prior to interview, if applicable

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Careers Education

Top 10 Best UK Universities for Data Science Degrees (2025 Guide)

Discover ten of the strongest UK universities for Data Science degrees in 2025. Compare entry requirements, course content, research strength and industry links to choose the right programme for you. Data is the currency of the modern economy, and professionals who can wrangle, model and interpret vast datasets are in demand across every sector—from biotechnology and finance to sport and public policy. UK universities have been at the forefront of statistics, artificial intelligence and large-scale computing for decades, making the country a prime destination for aspiring data scientists. Below, we profile ten institutions whose undergraduate or postgraduate pathways excel in data science. Although league tables vary each year, these universities have a proven record of excellence in teaching, research and industry collaboration.

Jobs Careers

Veterans in Data Science: A Military‑to‑Civilian Pathway into Analytical Careers

Introduction The UK Government’s National AI Strategy projects that data‑driven innovation could add £630 billion to the economy by 2035. Employers across healthcare, defence, and fintech are scrambling for professionals who can turn raw data into actionable insights. In 2024 alone, job‑tracker Adzuna recorded a 42 % year‑on‑year rise in data‑science vacancies, with average advertised salaries surpassing £65k. For veterans, that talent drought is a golden opportunity. Whether you plotted artillery trajectories, decrypted enemy comms, or managed aircraft engine logs, you have already practised the fundamentals of hypothesis‑driven analysis and statistical rigour. This guide explains how to translate your military experience into civilian data‑science language, leverage Ministry of Defence (MoD) transition programmes, and land a rewarding role building predictive models that solve real‑world problems. Quick Win: Take a peek at our live Junior Data Scientist roles to see who’s hiring this week.

Jobs

Quantum-Enhanced AI in Data Science: Embracing the Next Frontier

Data science has undergone a staggering transformation in the past decade, evolving from a niche academic discipline into a linchpin of modern industry. Across every sector—finance, healthcare, retail, manufacturing—data scientists have become indispensable, leveraging statistical methods and machine learning to turn raw information into actionable insights. Yet as datasets grow ever larger and machine learning models become more computationally expensive, there are genuine questions about how far current methods can be pushed. Enter quantum computing, a nascent but promising technology grounded in the counterintuitive principles of quantum mechanics. Often dismissed just a few years ago as purely experimental, quantum computing is quickly gaining traction as prototypes evolve into cloud-accessible machines. When paired with artificial intelligence—particularly in the realm of data science—the results could be game-changing. From faster model training and complex optimisation to entirely new forms of data analysis, quantum-enhanced AI stands poised to disrupt established practices and create new opportunities. In this article, we will: Explore how data science has reached its current limits in certain areas, and why classical hardware might no longer suffice. Provide an accessible overview of quantum computing concepts and how they differ from classical systems. Examine the potential of quantum-enhanced AI to solve key data science challenges, from data wrangling to advanced machine learning. Highlight real-world applications, emerging job roles, and the skills you need to thrive in this new landscape. Offer actionable steps for data professionals eager to stay ahead of the curve in a rapidly evolving field. Whether you’re a practising data scientist, a student weighing up your future specialisations, or an executive curious about the next technological leap, read on. The quantum era may be closer than you think, and it promises to radically transform the very fabric of data science.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.