Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Agronomy Graduate

Maidstone
4 months ago
Applications closed

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

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

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

Industry Insights

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

Jobs

Data Science Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK data science hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise rigorous problem framing, high‑quality analytics & modelling, experiment/causality, production awareness (MLOps), governance/ethics, and measurable product or commercial impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for product/data scientists, applied ML scientists, decision scientists, econometricians, growth/marketing analysts, and ML‑adjacent data scientists supporting LLM/AI products. Who this is for: Product/decision/data scientists, applied ML scientists, econometrics & causal inference specialists, experimentation leads, analytics engineers crossing into DS, ML generalists with strong statistics, and data scientists collaborating with platform/MLOps teams in the UK.

Jobs

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.

Jobs

Data Science Team Structures Explained: Who Does What in a Modern Data Science Department

Data science is one of the most in-demand, dynamic, and multidisciplinary areas in the UK tech and business landscape. Organisations from finance, retail, health, government, and beyond are using data to drive decisions, automate processes, personalise services, predict trends, detect fraud, and more. To do that well, companies don’t just need good data scientists; they need teams with clearly defined roles, responsibilities, workflows, collaboration, and governance. If you're aiming for a role in data science or recruiting for one, understanding the structure of a data science department—and who does what—can make all the difference. This article breaks down the key roles, how they interact across the lifecycle of a data science project, what skills and qualifications are typical in the UK, expected salary ranges, challenges, trends, and how to build or grow an effective team.

🍪 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.