Data Scientist Internship

Engineering and/or Technology, Mathematics and/or Informatics
Netherlands
Utrecht
Period: 
30 Aug, 2021 to 29 Jan, 2022
Deadline: 
22 Aug, 2021


General information

Duration: 
5 months
Commitment: 
Full-time
Description: 

We are looking for a Data Scientist and ML intern, in order to work on our in-house state of the art machine learning models to grow the company and work towards success. If you are interested in a challenging learning opportunity within a start-up, this may be perfect for you.
 

We are a company that specialises in providing housing for international students and young professionals in the middle and upper segments. Our goal is to provide the best possible service to make our guests feel at home. Over the past years we wish to grow University Housing to become one of the Netherlands’ leading players in this field. 

 

The University Housing team consists of enthusiastic and hardworking people. They are eager to push themselves to make the company a success and are open to support others in their learning process. During your internship, you will gather and analyse data for the University Housing teams so the company can reach new heights. 

 

Goal of the position:

The Mission of the Data Science and ML Internship is to gather as much usable data as possible and use that to find new opportunities and strategies for University Housing. Data is the starting point which will allow the optimization of many processes and allow University Housing to take advantage of new opportunities.

You will analyze and provide data for different departments within the company by using all UH resources as required. You are analytical and enjoy gathering and analysing data. You can translate said data into opportunities that will greatly benefit the company. You are self motivated and capable of working independently on different projects. During the internship, you’ll work on your own learning plan and are given the opportunity to work on a personal project within the company.
 

What do we expect from you?

  • You analyze raw data, assessing quality, cleansing, structuring for downstream processing.

  • You create new opportunities through the implementation of our data related projects. 

  • You are proactive and a team player.

  • You have a bold attitude and are not afraid of taking responsibility.

 

Minimum experience, education & skill requirements:

  • Currently studying Computer Science, Artificial Intelligence or any related field at the Bachelor or Master level. 

  • Full-time Internship for 40 hours a week, preferably for at least 5 months.

  • Full Professional Proficiency in English.

  • Fluency in a programming language.

  • You have a deep understanding of predictive modeling, machine-learning, regression techniques, and algorithms.

  • You know the basics of Git. You know how to work with Linux/shell scripting.

  • You have some experience with scikit-learn.

  • Basic knowledge of scraping and related frameworks (scrapy, beautifulsoup) is a plus.

  • Experience with GIS and basic sysadmin skills are a plus.

  • Experience with a Web Stack is a plus.

 

 What can you expect of us? We offer you:

  • A workspace where you have plenty of learning opportunities.

  • A versatile function in a fast-growing business, whereby you, together with the rest of the team, will decide on the company's progress (horizontal organisational structure).

  • A pleasant and informal working environment, where you will work in collaboration with our team, consisting of not only hardworking but also fun professionals.

  • The salary and other working conditions will be discussed during the selection process. 

Are you interested in working with us?

Then make sure to send an email with your CV and a motivation letter, or any other creative way to introduce yourself in which you clearly explain why you are suitable for this position, to [email protected].
 

We hope to be able to welcome you to our team soon!

 

Compensation: 
No financial compensation
Requirements
Languages: 
English: Independent User B2
Level of Studies: 
Bachelor