Data Analysis Intern/werkstudent

• Physics knowledge is a must - you understand heat transfer, energy balances, and thermal systems
• Python is a must - comfortable working with data analysis libraries (e.g. pandas, NumPy)
• You are currently studying towards a technical degree (e.g. Physics, Applied Physics, Mechanical Engineering, or similar), or in a comparable stage of your studies

• Affinity with sustainable innovation and hardware is a plus
• Experience with data visualization or greenhouse/climate systems is a plus, not a requirement

• A concrete, impactful problem to work on: proving and optimizing the energy performance of greenhouses
• Hands-on exposure to real measurement data from a high-tech greenhouse client site
• Room to shape the data-analysis framework from the ground up, with real ownership over your methods and tooling
• A close look into startup life: funding, subsidies, and the pace of an early-stage company
• Multidisciplinary collaboration with the technical team, Operations, and R&D

THERMELEON | Towards a climate-neutral greenhouse horticulture sector

Do you want to use physics and Python to uncover the thermal and energy secrets hidden in real greenhouse data? Our product - the Thermeleon Heat Battery - is an innovative day-night buffer for greenhouses. It improves the energy efficiency of greenhouses by strategically reusing surplus heat during the day-night cycle, substantially reducing natural gas usage and improving climate uniformity across the greenhouse.

As a Data Analysis Intern, you will dive into large, multi-source greenhouse datasets to uncover thermal, energy, and climate insights that directly support how we prove and improve the impact of our technology. You'll work closely with the technical team, analyzing data from measurement setups at real client greenhouses.

• Analyze large, multi-source greenhouse datasets to uncover thermal, energy, and climate insights (60%)
• Study heat flux behavior, temperature cycles, and environmental interactions across greenhouse systems
• Generate comparative insights across multiple client sites, both before and after demo installations
• Quantify the impact of the Thermeleon Heat Battery to support evidence-based decision-making for clients and internal teams
• Help develop a scalable data-analysis framework that can be applied to new clients and evolving datasets (40%)
• Contribute to tooling and methods that streamline future analyses and support consistent, repeatable insight generation
• Present findings clearly to both technical and non-technical colleagues

• You're analytical and curious, and enjoy digging into messy, real-world datasets to find patterns
• You can structure ambiguous problems and think about scalable, repeatable solutions rather than one-off answers
• Minimum of 24 hours a week

Our office is located in the monumental Van Nelle Factory in Rotterdam.

We strive for diversity in the team! This applies to education, background, specialization, and the male/female ratio. Research shows that men feel confident enough to apply if they meet 60% of the requirements, while female candidates only apply if they tick every box. So if this role fits you but you don't feel entirely sure about the criteria: we would love to hear from you!