ING is looking for a Data Scientist passionate about delivering data-products
Think Forward! Our purpose is to empower people to stay a step ahead in life and in business. We are an industry recognized strong brand with positive recognition from customers in many countries, strong financial position, omni-
channel distribution strategy and international network. If you want to work at a place where we believe that you can live by the Agile manifesto without jeopardizing the necessary continuity, compliance and QA measures, where we are committed to deliver stable and secure services to end users, and where we have a 'no nonsense' getting-
things done mentality, please read on!
a day in the life of a data scientist"
There are no typical days for a data scientist in WBAA. On any given day I wear many hats. I might start my day with a code review in Scala ahead of our Scrum meeting.
Following which I will rush off to a meeting with a business expert to discuss a recent analysis I prepared, that might even involve walking them through the python notebook I prepared with a subsample of data.
In the afternoon, I’ll sit with colleagues to discuss cutting-edge machine learning methodologies, that might involve helping each other through some difficult math on a white board.
Perhaps the only thing typical or standard in my day is making sure to take out after lunch for a quick game of ping pong with the team.
As a Data Scientist you are passionate about your field of work : Data Science and Software Engineering. You look to not only develop predictive algorithms, but also to actually deliver them as a working product to end-
users and incorporate their feedback in the product.
You want to work with key developments in the Data Science area. Experimenting with new algorithms and technology.
The Wholesale Banking Advanced Analytics team is a team of 40 people (and growing rapidly) that has the mission to make Wholesale Banking in ING data driven.
We do this by combining Big Data technology with Data Science to deliver high value solutions and products for our organization.
We work in a fun and creative environment and we’re dedicated to bringing out the best in both each other and our projects.
You’ll be part of the Non-Financial Risk squad within WBAA, which is without a doubt the best part J
Your passion is to work with the latest and greatest technologies in the field of Data Science. You will participate in maintaining the data analytics capability through calibrating the metrics and improving the framework of our innovative platform.
Besides this, you will build and improve predictive models using statistical and machine learning techniques. You will work in one of the finest engineering teams of the world, to implement the algorithms and visualisations you’ve helped to build as prototypes.
You will design, analyse and interpret business hypothesis and explore datasets through using available tools and recommend ideas to business when data / results is available through good visualizations / predictive algorithms.
Last but not least, you assist users to understand the data science principles and when needed provide an explanation for the model behaviour and possible correcting actions.
Within the Wholesale banking Advanced Analytics team we mainly use the following technologies and frameworks :
Do you recognize yourself in this profile :
grade software development and preferably in machine learning implementations.
You realize that the value of your work is quality x acceptance and want to become better at both. You are proven to be able to give, ask and incorporate feedback.
You have displayed creativity and tenacity in cracking the problem and finding a solution to it.
What do we offer?
Working at ING means working in a dynamic and international setting. Individual development of our employees is very important and that is why ING offers excellent courses and programs.
You will become a member of the Wholesale Banking Advanced Analytics team, a prestigious, no-nonsense and high-output data-
science team. Diva behaviour is not tolerated, neither is underperformance. We only hire people with exceptional talents and capabilities! You will work on the most innovative projects within ING.In addition we offer :
Are you keen to know more or apply?
For more information please contact Lucja Walczak at
We are looking forward to getting to know you