**NB This position is exclusively UK based**
Passionate to eat better, Infarm was founded in Berlin in 2013 by Osnat Michaeli and the brothers Erez and Guy Galonska. With the aim to share the goodness of own-grown produce with everyone, they developed a smart modular farming system, that allows distribution of farms throughout the urban environment, growing fresh produce in any available space and fulfilling any market demand.
Today, with cutting edge R&D, patented technologies, and a leading multi-disciplinary team, Infarm is growing a global farming network helping cities become self-sufficient in their food production while significantly improving the safety, quality, and environmental footprint of our food.
Be part of the Infarm (r)evolution and help people to take back ownership of their food.
At Infarm we grow a smart worldwide Infarm network that brings farming to the people. As a data scientist, you will contribute to that mission by working in multifunctional product teams to conceptualise, develop, and put in production machine learning approaches to solve automation and forecasting problems. Additionally, you will:
We work hard to continuously improve the quality of our farms. We want them to become more clever and data-driven, so that they can provide the best possible growing environment for our crops and nurture them to perfection. Our team also aims to shorten the path from customer request to delivery as much as possible to provide the best customer experience. Will you help us to achieve these goals?
Infarm is an equal opportunity employer. We strive to grow an inclusive environment, where everyone can thrive, regardless of your background and circumstances. We nurture diversity because we appreciate the uniqueness and differences between people. Each employee’s distinctive experiences, perspectives, and viewpoints helps us build a resilient environment, where we can all learn, grow, and create great things together. All applicants are given equal opportunity regardless of age, gender identity or expression, language, disability, ethnic origin, national origin, religion, belief, culture, socio-economic status, or sexual orientation.