Research and Development Data Scientist

Mirai Talent
London
1 day 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

Research and Development Data Scientist

Research and Development Data Scientist

Research and Development Data Scientist

Research and Development Data Scientist

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.

AI Engineer World’s Fair 2025: The Complete UK Guide to June’s Unmissable AI Engineering Event

If 2024 was the year every product team rushed to bolt an LLM onto their roadmap, 2025 is when the craft of AI engineering finally takes centre stage. From rapid-fire prompt iterations to robust eval pipelines, the discipline now demands the same rigour we once reserved for cloud infra or mobile apps. That is precisely why the AI Engineer World’s Fair, 3–5 June 2025 in San Francisco, matters more than any keynote or press release: it is the one place where the movers, makers and maintainers of production-grade AI swap battle-tested patterns in person. For UK technologists—and the recruiters who hire them—the Fair offers a rare chance to compress a year’s worth of learning, networking and tooling discovery into three intense days. Whether you are scaling RAG systems on Azure, bootstrapping an agentic start-up from your kitchen table, or simply hunting for your first AI engineer job, the sessions, workshops and hallway conversations can tilt your career trajectory. The guide that follows distils everything you need to know—programme highlights, travel hacks, ticket tips and post-event ROI—so you can decide if a flight across the Atlantic (or a virtual pass) is the smartest investment you’ll make this year.

How to Advertise AI Jobs and List AI Vacancies: Advanced Recruitment Strategies for 2025

In a landscape where artificial intelligence (AI) is rapidly transforming industries—from healthcare and finance to manufacturing and creative fields—employers are in stiff competition to secure the best AI talent. Whether you’re a start-up looking for your first machine learning engineer or a global enterprise planning an AI research lab, knowing how to advertise AI jobs effectively has never been more critical. Below, you’ll find in-depth strategies for crafting compelling AI job adverts, optimising your recruitment funnel, and showcasing your organisation as an employer of choice for top AI specialists. We’ll also explore the importance of salary transparency, the best channels for promoting your AI vacancies, and advanced techniques for nurturing a culture of innovation.

AI Training Jobs: Your Comprehensive Guide to Launching a High-Potential Career

Artificial Intelligence (AI) has evolved from a futuristic concept to a core component of modern business strategy. As organisations increasingly embrace AI-driven systems to stay competitive, the demand for qualified professionals who can develop, implement, and train AI models has skyrocketed. In the UK—and indeed worldwide—there is a pressing need for skilled experts who understand the nuances of AI, from algorithm design to ethical considerations. For anyone seeking to enter this exciting field or pivot into a role focusing on AI training, the opportunities are abundant. This in-depth blog post will explore everything you need to know about AI training jobs, the essential skills you’ll need, the current employment landscape in the UK, and how to future-proof your career in AI.