ING

Senior Data Scientist

Job description

Senior DATA Scientist


Your role & work environment

We are looking for a 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. 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. 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 key responsibilities

  • 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 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.
  • 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.

We look for

A colleague with a talent for taking it on and making it happen, enthusiasm for helping others to be successful and a knack for always being a step ahead. In other words, you strive to bring fresh ideas to life and embrace challenges in a fast changing and complex environment. You are a naturally collaborative person who listens and invests in others to achieve common goals. You love to challenge the status quo and are eager to propose creative solutions to problems.

As a Data scientist you will also need:

  • Proficiency in English
  • French / Dutch proficiencies are also nice to have


Bring in your machine learning, AI & data science knowledge to be applied on impactful projects

  • You have at least 4 year 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
  • 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


Use your technical efficiency to create production ready models and roll them out

  • 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. Experience with model validation is a nice to have.
  • Programming Languages and Tools: Python, Git, PyCharm, Shell scripting or similar. Web development is a nice to have.
  • Analytics tooling: PySpark, Hadoop, SQL, Netezza, Jupyter Notebook or similar. Working with Google Cloud Platform (BigQuery, Tensorflow) is a nice to have.


Bridge the gap with non-technical profiles by engaging with stakeholders and driving the analytical roadmaps

  • 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. Active on social media about data science is a nice to have.
  • Entrepreneurial skills: takes the responsibility and makes it happen
  • Enthusiasm: has a great level of enthusiasm to inspire others
  • Experience in working in an Agile/Scrum way is a plus


We offer you

A clear purpose, a unique offer and a range of flexible compensation and other benefits:

  • Personal growth & challenging work with endless opportunities to realize your ambitions
  • An informal, dynamic environment with innovative colleagues supporting your endeavors’
  • A progressive and agile way of working, where new ideas are valued ahead of convention

A hybrid way of working

  • We give the autonomy to our employees to let them organize their work in a flexible way that suits best for them while ensuring business continuity, customer service and employee wellbeing.

Furthermore, within the Digital & Customer Interactions department, you can count on a range of opportunities to invest in your personal and professional growth with:

  • Ambition to become the best Data Scientist team (in Banking)
  • Great mix in strategic, operational & entrepreneurial assignments
  • Personal growth and challenging work with the needed support of senior data scientists, the international ING Data Science Community and the in-house Data Fluency Academy


We redefine banking. What about you?

We’re on a journey that’s centered around our customers, powered by technology and driven by smart, determined people. Our customers feel our people are empowering them to stay a step ahead in life and in business. We’re proud of that

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