Data scientist

30-40

 hours

What started as a broad data science company, grew into a company specialised in churn prevention and utilising up-sell opportunities. Our data driven methods are based on a broad scale of econometric models that predict future churners, optimise marketing allocation budget and discover opportunities along the customer journey. We deliver advanced AI solutions and guide our customers through their data driven retention transformation. Not only shaping their strategy, but also preparing them for the future with sustainable implementations that will improve over time.

This is what you like doing

As a Data Scientist  you’ll take on different projects for our clients. We work with B2B and B2C companies in several industries. You responsibilities can vary:

-        Performing Churn analytics for clients  

-        Clustering and segmentation analysis.

-        Churn and CLV predictive analytics results;

-        Recommending products, marketing and upselling campaigns, pricing strategies, etc.

-        Process, clean, integrate & store data.

You recognize yourself in this

-         Masters ( or equivalent experience)  in a quantitative field (Computer Science, Mathematics, Engineering, Economic, etc.)

-        Expert in Python ( is a must);

-        Have experience in dealing with large data sets

-        Experience with Azure and PowerBI is a plus

-        Affinity for data science and marketing

This is what you look for in a job

-        A unique chance to work in a high-tech data science startup

-        The opportunity to grow with the company and become one of the Lead Data Scientist.

-        Guidance from experts ( e.g. our partner, who is a Professor in Data Science & Econometrics) ;

-        An open company culture

-        Competitive salary based on skills and experience;

-        Transport costs if you don’t have an OV-chip card;

I want to apply for this job

Personal information

Work based information

Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.

Questions about this job offer?

How does your application process go?