Who we are
MIcompany is an Artificial Intelligence (AI) company based in Amsterdam and Tel Aviv. From our offices, we drive AI transformations by building AI solutions and skills. Our team of more than 100 data scientists, AI engineers and software engineers serves industry-leading companies such as eBay, Booking.com, NS, Heineken, KPN, Aegon, and De Postcode Loterij, in more than 25 countries.
What we do
Our mission is to bring out the best of AI. For our clients, our people, and society. Given the disruptive character of AI, there are many ways how AI could derail us and bring society to a place where we do not want to be. For example, AI can lead to breaches of ethical conduct, by institutionalizing biases that are not allowed, or not desired. At MIcompany we believe that through building AI in a conscious and responsible manner, we are helping people and their organizations to prosper.
What we offer you
At MIcompany, we provide an environment where you can develop yourself optimally in our multidisciplinary team of ambitious beta talent. You will build end-to-end solutions for clients together with our data science, AI engineering, and cloud development experts. Besides work, we also like to have a lot of fun together – at our quarterly team building events, sports activities and weekly Friday night drinks on our rooftop terrace.
The inhouse day
On the 7th of December we will host an inhouse day for VSAE members at our office. During this day, you will be introduced to MIcompany, solve a case and end the day with drinks at our office.
In the case, you can showcase your econometric skills, while going through all steps that are required in a full-scale data science project in the few hours that we have!
You’ll focus on a case for LEASEDCARS: a company that sells second-hand cars which have been used as lease cars. LEASEDCARS wants to offer a variety of used cars for a reasonable price.
In order to accomplish this, LEASEDCARS wants to have a consistent procedure for pricing their cars. In this way they can ensure that their prices are reasonable and have a solid basis.
LEASEDCARS has collected data containing information about previously sold cars.
The goal of LEASEDCARS is to develop a model that predicts the prices of ‘new’ cars based on the knowledge about previously sold cars. Moreover, the company wants to know the impact of damage on the price of the car.
Application procedure
The participants for this inhouse day are invited based on an anonymous CV selection. Apply here now!
- Application deadline: November 26th 23:59
- Selection announced: December 1st
- Inhouse day: December 7th