Research and Development Data Scientist

Mirai Talent
Newcastle upon Tyne
5 days ago
Create job alert

Research & Development Data Scientist


This is a unique opportunity to join a mission-driven startup applying cutting-edge science and data to help farmers grow more sustainably and profitably.

You’ll join a growing start up of high performers and work at the intersection of crop growth modelling, machine learning, and agronomy, directly supporting the development and improvement of a cutting-edge product!


What you’ll be doing:


  • Own and evolve crop modelling work using DSSAT, APSIM, or similar models (e.g. tuning cultivar parameters, incorporating new environmental risks, modelling fertiliser effects).
  • Support the development of machine learning layers on top of crop models, integrating satellite data and in-field results.
  • Analyse results from ongoing trials to refine models and build market-facing insights for farmers.
  • Collaborate with the Crop Growth Modelling Lead and CTO/ Founder to divide and shape work based on your strengths - be that research-heavy or more engineering-oriented.
  • Work with the wider data and backend engineering team to deploy solutions in production.
  • Help improve internal tools written in Python, while interacting with crop model codebases in Fortran and other environments.
  • Balance independent R&D with commercial and product-focused initiatives - shaping their scientific and technical foundations.


What you can bring:


  • Ideally experience in Python (or R), and experience working with models, simulations, or agricultural/environmental datasets.
  • Experience with crop growth models, especially DSSAT or APSIM (or similar models you're confident adapting to).
  • A startup mindset: proactive, adaptable, and comfortable with ambiguity.
  • Strong ability to think scientifically and commercially: you can build, test, and explain your ideas clearly.
  • Ideally 2+ years of post-academic experience (but we’re open to exceptional recent PhD graduates).
  • Knowledge of agronomy, particularly around wheat and fertiliser usage, is highly desirable.
  • You don’t need perfect engineering skills, but you’re comfortable collaborating with engineers or deploying your own models.


What’s in it for you:


  • A role that’s rare in both scope and impact: join a fast-scaling startup applying space tech, crop science, and data in a way no one else is.
  • Work with a smart, passionate, and experienced team that values both R&D and delivery.
  • Equity at a meaningful stage of growth
  • Massive career growth potential, own your space as they scale.
  • Flexibility to shape your role around your strengths: research-led, product-led, or engineering-integrated.
  • The satisfaction of contributing to a solution with genuine climate, economic, and food security impact.


Mirai believes in the power of diversity and the importance of an inclusive culture. We welcome applications from individuals of all backgrounds, understanding that a range of perspectives strengthens both our team and our partners' teams. This is just one of the ways that we’re taking positive action to shaping a collaborative and diverse future in the workplace.

Related Jobs

View all jobs

Research and Development Data Scientist

Research and Development Data Scientist

Data Science Lead

Data Scientist

Data Strategy Analytics Director

Data Scientist, Rufus Experiences Science (HighSalary)...

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.

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.

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.

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.