Summary | Student Employee

Hours 16-40
CountryNetherlands
CityAmsterdam
Employment type temporary
Education -
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Job description

Who are we?

MIcompany is an agency specialized in Big Data Analytics with offices in Amsterdam and Tel Aviv. With our team of more than 50 young and ambitious professionals, we build data analytics capabilities for international blue chip companies. Our goal is to drive sustainable business value using the power data analytics. We achieve this through discovery programs in which we search for opportunities and capture their potential by use case implementation. We make this impact sustainable by building capabilities in the fields of people & organization, models & metrics and data & technology.

In our projects we are constantly looking for opportunities to innovate. We implement the newest modeling techniques, create state-of-the-art technology solutions and unlock new data sources using data capturing techniques like web scraping. To ensure these innovations contribute to sustainable value creation, we combine them with our expert business knowledge and cross-industry experience. This led to long term relationships with successful national and international companies like bol.com, Achmea, KPN, booking.com and The Royal Concerthall.

Starting at MIcompany, you join an extremely talented and ambitious team environment contributing to a very steep learning curve in the fields of data analytics and leadership. We love to work with young talented people. In order to transform them into successful data scientists, we constantly focus on personal development. At MIcompany we always challenge you to beat your own expectations!

What is the position about?

  • As a student employee you will be working in a team with Data Scientists and Technical Analysts, contributing to challenging projects for the top of the industry.
  • You will be building meaningful, innovative and impactful analyses using advanced analytical techniques.
  • Your work is very diverse, on an analytical and technical level. From data preparation in SQL and conducting analyses in R to building impactful presentations.

  

 What do we have to offer?


  • A unique opportunity to experience how it is to work as a Data Scientist in the young and ambitious MIcompany team.
  • The possibility to apply the knowledge from your study in practice, being coached by experts in the field of data analytics.
  • Growth opportunities to become a trainee.
  • An excellent salary, regular team building events and weekly Friday afternoon drinks at our bar.

Requirements

Who are we looking for?

We are constantly looking for young analytical talent who recognize themselves in the following profile:

  • Students (3rd year of their Bachelor/Master) with excellent results, in Econometrics, Mathematics, Computer Science or another quantitative field.
  • Analytical, curious, and ambitious. Result-driven, pragmatic and persuasive.
  • A passion for solving complex business challenges using advanced analytics on large amounts of data. The drive to contribute to innovative data analytics projects in an ambitious and fast growing company.
  • Focus on personal development and eager to learn.
  • Proficiency in the Dutch and English language.

  

Are you the analytical talent we are looking for?
Currently, we are not hiring and have no open positions. If you would like to be notified when we begin accepting applications again, please apply via our website and we will keep you updated. If you have any questions, please contact talent@micompany.nl.

Apply now

AI quick scan

Test how your company is performing on developing and implementing AI solutions and platform capabilities:

 

1.My organisation communicates a clear end-state vision on how AI can transform our business
2.AI initiatives are aligned with the strategic goals of my organisation
3.My organisation has a roadmap that focuses data analytics efforts on large scale business opportunities
4.My organisation succesfully builds high potential proof of concepts with AI
5.AI use cases are developed end-to-end from data to algorithm to an application, such that users can interact with the algorithm
6.AI use cases are automated and operationalized in a production environment
7.AI use cases are fully adopted by the business, without unintended retreat to own judgement
8.AI use cases change the business process fundamentally if adopted
9.AI use case MVP's are continuously being improved, leaving MVP state
10.My organisation succesfully scales impact of AI use cases
11.There is an infrastructure in place for users to approach (a selection of) data
12.There is a possibility to develop models, for example in sandbox like environments
13.Algorithms are operationalized and automatically predict on new data
14.Your organisation has deployed one ore more experiments with modern, for example cloud-based, infrastructure
15.AI platform standards are set and managed
16.Clarity exists on target infrastructure for new solutions
17.Existence of legacy is accepted as a given, but migrations and dependencies are managed with a impact driven mindset
18.AI solutions are in production on scalable modern infrastructure
19.There are standardized operational processes to develop, deploy and maintain models (model management) in modern infrastructure.
20.Users enjoy flexibility to access any data and use it to build solutions with diverse requirements, while still maintaining certain standards managed centrally