Data Analysis Intern/werkstudent

Quintall; Rotterdam; On-site; EUR 4,500 - 6,700; Full time

Benefits offered by this job

Hands-on data work

Ownership over methods

Startup experience

Multidisciplinary collaboration

Job summary

Quintall seeks a Data Analysis Intern to dive into large, multi-source greenhouse data, uncover thermal and energy insights, and support the Thermeleon Heat Battery project. You will work with the technical team on real client greenhouse data and help build scalable analysis methods.

You will develop skills in heat transfer concepts, data visualization, and Python tooling while contributing to evidence-based client decisions in a startup setting.

Qualifications

• Physics knowledge of heat transfer, energy balances, and thermal systems.
• Python for data analysis using libraries like pandas and NumPy.
• Pursuing a technical degree (e.g., Physics, Applied Physics, Mechanical Engineering).
• Analytical and curious, able to handle messy, real-world datasets.
• Interest in sustainable innovation and hardware is a plus.
• Experience with data visualization or greenhouse/climate data is a plus.

Responsibilities

• Analyze large, multi-source greenhouse datasets to uncover thermal, energy, and climate insights.
• Study heat flux behavior, temperature cycles, and environmental interactions across greenhouse systems.
• Generate comparative insights across multiple client sites, 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.
• 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.

Skills

Physics knowledge

Python

Technical degree in progress

Analytical

Structured problem solving

Sustainability/hardware affinity

Education

Technical degree in progress (Physics/Engineering)

Tools

pandas

NumPy

Job description

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.

Taken

WHAT YOU'LL DO

• 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

Vereisten

WHAT WE'RE LOOKING FOR

• 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
• 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
• Affinity with sustainable innovation and hardware is a plus
• Experience with data visualization or greenhouse/climate systems is a pré, not a requirement
• Minimum of 24 hours a week

Benefits

WHAT WE OFFER

• 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

ONS TEAM

Thermeleon bestaat uit een enthousiast en gevarieerd team dat is gedreven door een duurzame ideologie en een passie voor de glastuinbouw. Momenteel bevinden we ons in de startup-fase, waarbij de metingen bij de klant in een high-tech kas in volle gang zijn. Om te blijven leren (van elkaar), organiseren we elke vrijdag een 'Therming Sessie' om kennis te delen en de week af te sluiten.

We zijn onderdeel van het duurzame-startup innovatieprogramma van de Europese Unie (Climate-KIC) en ontvangen ook subsidie van het NWO-domein Toegepaste en Technische Wetenschappen (TTW) in samenwerking met de TU Delft.

WERKLOCATIE

Ons kantoor bevindt zich in de monumentale Van Nellefabriek in Rotterdam.

DIVERSITEIT

Wij streven naar diversiteit in het team! Dit geldt zowel in opleiding, achtergrond, specialisatie, en man/vrouw verdeling. Onderzoek toont aan dat mannen zich zelfverzekerd genoeg voelen om te solliciteren als ze aan 60% van de eisen voldoen, terwijl vrouwelijke kandidaten alleen solliciteren als ze elke box aantikken. Dus als deze rol bij je past maar je je nog niet helemaal zeker voelt over de criteria: we horen graag van je!