- Pay
- £44–57k
- Where
- Oxford, Oxfordshire, GB · GB · Remote · Remote
- Level
- Mid
Ambitious AgriTech Data Scientist wanted to drive real impact in AgriTech from Oxford.
Farms generate more data than most people realise: soil sensors, yield maps, satellite imagery, weather models.
Turning that into decisions farmers actually trust is a different problem entirely, and it's one this AgriTech business has built its reputation on.
Based near Oxford, a city with a genuine cluster of agricultural science and precision farming activity, the company has spent years building models that work in real fields, not just in notebooks.
Here's what you'll be doing: Build and refine predictive models for crop yield, soil health, and resource use across live farm datasets Clean and structure data from sensors, satellite feeds, and third-party agricultural APIs Work with agronomists to translate model outputs into recommendations growers can actually act on Design experiments to test new modelling approaches before they go anywhere near production Maintain and improve existing data pipelines, flagging issues before they become problems Present findings to non-technical stakeholders in plain language, not jargon Here are the skills you'll need: Strong Python skills, with solid experience in pandas, scikit-learn, and ideally some deep learning exposure A working understanding of statistics that goes beyond running a model and hoping for the best Experience handling geospatial or time-series data (agricultural, environmental, or similar is a bonus) Comfort working with messy, real-world data.
Nothing in farming comes pre-cleaned Good communication skills.
You'll need to explain your reasoning to people who don't live in Jupyter notebooks A few years in a data science role already, with the confidence to own problems end to end Key perks and benefits: Salary of £43,500 to £57,000, depending on experience Fully remote working, with the team anchored around Oxford for occasional meetups Private medical insurance and pension contribution Generous annual leave plus flexible working patterns Bonus scheme and genuine room to grow into a more senior data role Why pursue a career in AgriTech?
Global food demand isn't slowing down, and neither is the pressure on farmers to produce more with less land, less water, and tighter margins.
That makes AgriTech one of the few sectors where good data work has an obvious, measurable outcome.
Oxford's mix of agricultural research institutions and growing tech scene makes it a smart base for anyone serious about building a long career here.
This AgriTech Data Scientist opportunity is brought to you by The Opportunity Hub UK.