This is Us.
A team ofmore than one thousand people sharing an idea : doing our bit in helping ourclients create a better future for themselves , providing them with thetools they need to get where they want to go.
Intoday’s world, we know this happens because we are a fully online bank . Wewere born out of that idea and 20 years on, technology, simplicity andtransparency continue to be the ingredients of the recipe that leaves the besttaste in our mouths : being more than just a bank, someone useful in the livesof the millions of clients who have chosen us.
The waywe do things also mirrors our eagerness to innovate. We are proud to be one ofthe very first banks to work with agilemethodologies.
It doesn’t ring a bell yet? No worries, we will be delightedto tell you all about it. You will find it’s one of those things you’ll want torepeat over and over.
Andalthough we are based in Spain, we like to cross borders. We are lucky towork with international teams every day across 44 countries , composed ofwomen and men as equal as they are diverse.
Because here you are completelyfree to be who you want to be, love whomever you choose, and even go forpineapple as your pizza topping.
Makingthings happen, helping others be successful, always being one step ahead that’sour DNA. If you look at yourself in the mirror and your reflection matches ourway of being and working we are looking forward to meeting you!
What are we looking for?
For us, a Data Scientist is someone who has :
MSc or PhD with excellent academic results in thefield of Mathematics, Statistics, Computer Science, Engineering, Econometricsor similar.
Excellent knowledge of Machine Learning techniques to coveruse cases related to Classification, Regression, Time Series, Clustering, TextMining, etc.
as well as knowledge about the modelling process includingpreprocessing, feature engineering and validation approaches and metrics.
Full proficiency in Python is a requirement.Experience in Spark is desired.
Experience with using Hadoop ecosystem features, suchas Hive, and databases exploitation with SQL are also required. Visualizationtools familiarity is a plus.
At least 3 years of experience in a comparable role.
About you :
Your Data Science knowledge enables you buildinganalytic solutions for business problems from various bank domains (CustomerInteractions, Credit Risk Management, etc.).
Willing and able to learn and to improve yourtechnical as well your interpersonal skills.
You have extensive experience with transforming datato add value for your stakeholders.
You are able to see things from a differentperspective and to make original solutions work in practice.
Your communication skills enable you to work togetherwith many different parties throughout our organization.
What goeson at ING matters much to us.
But weknow that the most important things are outside the office.
So thatthinking about what to have for lunch doesn’t take up your time or yourcravings.
Life and health insurance.
For youand all your family (spouse / partner and children).
Free company shuttle.
We takeyou from Madrid city center to our offices at Las Rozas (and back!)
Specialloan or mortgage terms after 6 months working at the bank.
Andbenefit from our pension plan after 2 years with us.
More health, more sports.
Paddletennis court and lessons available to you
Runnersclub with your own trainer
Clinicswith professional, world-class athletes
Physiotherapyservice on site