Senior Data Scientist – Machine Learning

Employee | Information Technology | Professional | Amsterdam | 2019-10-11 | REQ-10020231


We are looking for a Senior Data Scientist to join ING. This team is at the heart of ING and its systems and algorithms are involved in the large scale of customer interactions. Machine learning, personalization, and analytics are at the core of what we do. We are looking for experienced data scientists to help us build the next generation of customer interaction experience at ING. Sounds interesting? Please read further.

Your eagerness to learn is not only visible in the technical areas but also in how you develop your interpersonal skills. As a creative and curious Data Scientist, you are looking forward to solving a wide variety of real-world business problems. On top of this, you have the programming skills to write quality code that works in production.

You are experienced in the approach to transform data to added value for customers. You’re always thinking one step ahead, for example in advising about the best way of implementation. You are able to look at things from a different perspective and you are keen on making original solutions work in real-life. Next, to being creative, you are also persistent. If the problem is hard to crack or a technical solution hard to introduce, you keep trying different approaches until you succeed.

You have solid communication skills that enable you to work together with many different parties throughout our organization. Your enthusiasm and passion are contagious, mobilizing people to capture the tremendous value that Data Science brings to customers of ING.

You enjoy working in cross-functional teams with ambitious goals, asking fellow team members for assistance, but also helping them out by sharing your knowledge and capabilities. When needed, you are able and willing to guide junior Data Scientists and interns through their daily tasks.

As a Senior Data Scientist, you have a deep understanding and experience with:

  • Machine Learning: Deep Learning, Classification, Regression, Clustering, Text Mining. You have an excellent understanding of Neural Networks, Random Forests, Logistic Regression, SVM, KNN, K-Means, LDA, etc
  • Programming Languages: Python, Scala is a nice to have
  • Analytics tooling: SQL, Hive, Netezza, Cassandra, Cognos, Matplotlib, or similar

Your background:

  • You have more than 3 years of relevant applied experience
  • MSc or Ph.D. with excellent academic results in the field of Computer Science, Machine Learning, Mathematics, Statistics, or other quantitative fields
  • Experience in working in an Agile/Scrum way would be great

Competencies and skills required:

  • Analytical and content strength (in DS work field): sees which DS techniques apply to the business problem at hand, able to structure the approach and a good programmer
  • Willingness to learn: open to feedback and development on both technical and interpersonal levels
  • Perseverance: does not give up when a problem is demanding, knows how to deal with setbacks
  • Strong communication skills: written and spoken English needs to be convincing
  • Entrepreneurial skills: takes the responsibility and makes it happen
  • Enthusiasm: has a great level of enthusiasm to inspire others

We offer:

  • Ambition to become the best Data Scientist team (in Banking),
  • Great salary and other terms,
  • National or global career possibilities,
  • Great mix in research, strategic, operational & entrepreneurial assignments.

Can you identify with this profile? Then apply and become a Data Scientist at ING. As part of your application, we kindly request that you upload a document with a sample of your code, this is necessary for us to be able to assess your application.


Questions about this opportunity?

Feel free to contact Edina Kovacs, Recruiter. e-mail: or Phone: +31 (6) 11916654



ING is a great place to be. But we’re not some kind of workplace utopia. We’re not right for everyone. And not every smart person is right for us. Want to know more about what to expect and what we offer?

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