What is required?
- Currently enrolled in a Dutch University in Computer Science, Artificial Intelligence or similar
- Knowledge of Python, BigQuery, Firestore and other Google Cloud services is a pre
- Able to work independently and take initiative
- Good communication and documentation skills
- You have excellent command of the English language
- Motivated to work with a startup and be part of a growing team
- Interested in food and helping to reduce food waste
What will you get?
- €400,- internship allowance per month
- 32 to 40 hour working week
- A young and creative startup work environment that invests in your development
- You will join a growing company and be able to help shape our culture as we move forward
- A close-knit team with smart, enthusiastic colleagues who are happy to share their expertise with you
- Free office lunch and an office dog to keep you company
- An office based in Utrecht with the flexibility to work there or from home
What will you do?
- 10% Attending meetings
- 20% Writing literature reviews and doing research
- 50% Implementing Proof of Concepts (PoCs) and Minimum Viable Products (MVPs)
- 20% Documenting and presenting findings and experimental results
This vacancy has been created based on interviews with employees to help you get a realistic preview of the job.
I'm interested
Do you have a question or are you interested? Contact us.Hannah Nesmith-Beck
Talent Acquisition Specialist
Vacancy
As a Data Engineering Intern at Orbisk, you will have the opportunity to work on a data engineering project with real-world data. You will be responsible for researching a specific topic in data engineering and for experimenting with different solutions from literature and the industry. Amongst other things, you will implement Proof of Concepts (PoCs) and Minimum Viable Products (MVPs). You do this with the aim of solving a real-world problem in food waste reduction.
You will actively think about how you can improve Orbisk's product: a smart camera and scale that uses image recognition to register which food is thrown away, when, and in what quantity. It is possible to work with different types of data (e.g. images, time series, external data) and data and artificial intelligence related problems (e.g. interpretability, aggregation, analysis, classification, regression). You will build on previous research and also learn more about other topics related to data engineering, such as data analytics, machine learning and MLOps. While your main task is to research and experiment, you will also learn how the production systems at Orbisk work.
You are part of the Data & AI team, which currently consists of six full-time employees and six interns. You will be actively involved in the company by participating in team meetings and having one-on-one conversations with your colleagues. A senior member of your team will be your supervisor during your internship.
If you want to work with advanced technology that prevents food waste, and you are passionate about data and artificial intelligence, then this is the internship for you.
Working week
On an enjoyable day, you participate in various instructive meetings with the tech people of Orbisk. After that, you are able to focus on a specific task and use the context and discussions from the meetings to approach it in a new way.
On a less enjoyable day, you mainly work independently, for example by reading literature. Although this might be a bit uneventful, you will learn a lot from it.
- 09:00
- 10:00
- 11:00
- 12:00
- 13:00
- 14:00
- 15:00
- 16:00
- 17:00
- 18:00
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- Lunch break
- Daily standup meeting
- Company-wide meeting
- Doing literature research
- One-on-one with colleague
- Doing literature research
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- Lunch break
- Daily standup meeting
- Meeting with supervisor
- Reading and replying to emails
- Writing literature review
- Writing literature review
- Experimenting with MVPs
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- Lunch break
- Combined standup with Tech teams
- AI & Data team meeting
- Experimenting with PoCs
- Processing feedback
- Writing literature review
-
- Lunch break
- Daily standup meeting
- Doing literature research
- Experimenting with PoCs
- Documenting findings and experimental results
-
- Lunch break
- Daily standup meeting
- One-one-one with colleague
- Implementing MVP
- One-on-one with colleague
- Presenting findings and experimental results to team
- Processing feedback
- Friday afternoon drinks
Firsthand experience
Growth
You work in a fresh and creative start-up, where everyone wants to learn from each other. Everyone has their own specialization. In the coming years, the organization will also focus on international growth, which means that more and more new positions will become available.
Working at Orbisk
Orbisk is a start-up with a clear mission: to make the global food system more sustainable. The start-up provides complete insights into the food flows of hospitality organizations. Orbisk does this by offering a smart camera and scale that uses image recognition to register which food is thrown away, when, and in what quantity. The customer can view this data in the dashboard, which provides insight into food wastage and can be used to reduce it.
- Main office in Utrecht
- 40% / 60%
- Average age is 30 years
- 40 employees
- Working from home options
Colleagues
