Helaas, deze vacature is niet actief.

Data scientist at WBAA in Amsterdam


ING is looking for a Data Scientist KYC 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 reviewing a merge request, 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 KYC you are passionate about your field of work: Data Science. 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 know how to apply machine learning algorithms, but more importantly, you know how they work under the hood.

You want to work with key developments in the Data Science area. Experimenting with new algorithms and technology.

Our ambition is to “Catch the bad guys!”, those trying to launder money using ING and the banking system. We want ING to become the most trustworthy bank in the world! For this we are building a real-time anti-money-laundering product. We are bringing together domain expertise, top-notch user-experience, massive amounts of data (internal and external), cutting edge data science, robust software engineering and strong product management. Your team will work together with an existing team in Amsterdam, with as much agility as possible, on the continuous cycle of discovery and delivery and will own key features of the product. Where needed we will partner with ING colleagues, academia, vendors, start-ups and other banks to get the job done.

The Wholesale Banking Advanced Analytics team is a team of 100 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. We have offices in Amsterdam, Katowice, Warsaw, London and Romania.


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. 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 visualizations 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 behavior and possible correcting actions.

Our Stack
Within the Wholesale banking Advanced Analytics team we mainly use the following technologies and frameworks:

  • Python with packages:
  • Numpy
  • Pandas
  • Sklearn
  • Keras
  • Lightgbm

  • Spark (Pyspark, Spark ML)
  • Airflow

Do you recognize yourself in this profile?

  • MSc or PhD with excellent academic results in Computer Science, Physics, Mathematics or other exact disciplines
  • Knowledgeable in statistics, calculus and applied math
  • Knowledgeable about machine learning techniques and willingness to keep the knowledge up-to-date. You have an in-depth understanding of algorithms like Random Forests, Neural Networks, MCMC and reinforcement learning.
  • You have experience with unsupervised learning with a strong focus on anomaly detection and time serie prediction
  • As we hire for potential and a very strong fit with the team, rather than experience, we consider 2+ years of work experience a strong plus, but this can be substituted with excellent capabilities.
  • Strong programming skills in Python, Experience in delivering (near) production grade code.
  • Familiour with engineering tools like Docker or strong willingness to learn and use it. Furthermore, you like working with tools like Spark and Hadoop, though extensive experience with this is not necessary at the start.
  • Experience in working in an agile/scrum way is a plus, but at least you should have a strong willingness to do so.
  • You have excellent oral and written communication skills at technical and business level.
  • Fluent in written and spoken English.


  • You have a learning attitude. Not only to master new algorithms and technologies, but also on the interpersonal level. 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 experience in building data products. From inception to production. With your full-stack capabilities, you can build a prototype, but also improve an issue within the existing models in production. You love coding.
  • You feel at home in a high-performing team and you make the other team members feel at home as well. You have the independence to speak up when needed.
  • You have exceptional problem-solving capabilities. You understand that understanding the problem is at least 90% of the solution. You have displayed creativity and tenacity in cracking the problem and finding a solution to it.
  • Active (or impressive) Github and/or Kaggle profile.

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 behavior is not tolerated, neither is under performance. We only hire people with exceptional talents and capabilities! You will work on the most innovative projects within ING. In addition we offer:

  • Fun!
  • A competitive salary
  • Working with highly skilled people
  • Working in an area which is of great importance to the strategy of ING
  • A relaxed and fun team
  • An International atmosphere
  • A full time position (40 hour week)
  • Great training and education opportunities

Are you keen to know more or apply?
For further inquiries, please contact Haineto Fernandez <Haineto.Fernandez.Smeding@ing.com>.

We are looking forward to getting to know you

Extra informatie

Fulltime (ervaren)

Amsterdam | ICT / IT / Programmeur | Fulltime (ervaren)

Schrijf je nu in!

Wil jij op de hoogte gehouden worden van nieuwe interessante vacatures en altijd binnen 1 muisklik kunnen solliciteren? Schrijf je in als werkzoekende!


We heten wel YoungCapital, maar iedereen is even welkom. Ook als je al wat meer ervaring hebt. Meer weten? Check onze FAQ.