Magnet.me - Het slimme netwerk waar studenten en professionals hun stage of baan vinden.
Het slimme netwerk waar studenten en professionals hun stage of baan vinden.
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At Source.ag, we're on a mission to power a sustainable future by leveraging cutting-edge A.I. in greenhouse technology to deliver more fresh produce to the world.
Our values drive everything we do to support this mission, it’s the way how we work, collaborate and achieve our goals:
🧑🌾 All In for our Growers: We work closely with growers, prioritizing their needs.
🌈 Strength through Diversity: We embrace different perspectives and backgrounds, fostering a culture of mutual respect, inclusion, and collaboration.
🌟 Learn-Adapt-Succeed: We grow through continuous feedback, learning, and dedication.
🚀 Driven to Deliver: We are dedicated to delivering impactful results and plant solutions that shape the future of food production.
🌱 Plant Solutions: We plant solutions that shape the future of food production.
Ready to ignite your analytical skills and drive tangible change? As a Data Analyst Intern it’s your mission to transform data, into Decisive Action. You'll join an amazing team of Plant Scientists, Data Scientists, and Engineers, where your insights will be the engine optimizing our growers' success. It's about actively mining greenhouse and plant data to unlock critical levers for maximizing yield and revolutionizing resource efficiency.
Here are some examples you would contribute to:
Creating interactive dashboards and template datasets around product usage and performance: Develop SQL and Python based dashboards and tools to visualise how our products are being used and where it performs well and not. This will help our AI Product Specialists to actively help our customers get the best results out of our products and our Product teams to develop new features. You will learn how to leverage data for actionable business insights.
Build pipelines that monitor our production models: Develop Python based pipelines that monitor our cutting edge AI models so that Data Scientists and Software Engineers can easily detect when action is required on our model performance. You will learn how to leverage data for actionable technical and business insights.
Support stakeholder communication around model performance: Join our Lead Data Scientist and help in transparently communicating results from the projects above on a strategic and operational level. You will learn strategic and operational storytelling.
Are You Ready to Make a Real-World Impact?
You are
A bachelor’s or master’s student in Data Analytics, Computer Science, Econometrics or a related field.
Experienced with SQL and Python (including data visualisation libraries).
Detail-oriented and analytical, with a passion for uncovering insights from complex datasets.
Available for at least 3 days a week for a minimum duration of 3 months.
Based in the Netherlands
Available to start per July 1 2025
Source is creating a sustainable and fair food system by accelerating the transition to greenhouse agriculture. We are making greenhouses more scalable by developing the world’s most advanced artificial grower that acts as a co- & autopilot for farmers and growers. Our software and AI models help growers to define optimal seasonal crop plans and provide greenhouse autopilot functionality to ensure flawless daily growing operations.
Resources:
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