Job Description

We are looking for an Intern 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 Intern Data Scientist, you are looking forward to solving a wide variety of real-world business problems, and learn concrete skills along the way. On top of this, you are currently following a master level cursus in data science, machine learning, computational intelligence or related field.

Machine learning, personalization, and analytics are at the core of what we do. We are looking for motivated student of data scientists to help us build the next generation of customer interaction experience at ING while themselves learning about the job by doing it. Sounds interesting? Please read further.

What you'll do

         You will receive the full onboarding to our tooling, and continuous support of a medior/senior data scientist to enable you to achieve the best impact for yourself and ING during your internship

         Youre 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.

How to succeed

         You are currently following a master in a field related to data science.

         You speak English fluently and can follow technical discussions around data science in that language. French and Flemish competencies are extra nice to have.

         You have excellent academic results so far in your studies.

         Knowledge or even experience in working in an Agile/Scrum way would be great.

         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. Knowledge of data governance and model validation is a nice to have.

         Programming Languages and Tools: Python, Git, IDE (e.g. 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.

         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. 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

         A direct interview to evaluate your current level of analytical and problem-solving skills will be part of the recruitment process.

What we offer

A flexible position within our data science & data analysts team. Details such as duration and schedule to be fixed depending on university program.

To give you an idea, we will tell you about the benefits of working at ING as an intern:

         Ambition to become the best Data Scientist team (in Banking)

         Lunch and travel allowance of 7.50 per day worked

         Great mix in strategic, operational & entrepreneurial assignments

         Personal growth and challenging work with the needed support of medior to senior data scientist having worked the jobs for multiple years already

         An informal working environment with innovative colleagues who strive for the very best

Questions?

Contact the recruiter attached to the advertisement for more information. Can you identify with this profile? Then apply and become an Intern Data Scientist at ING.

About us

With around 52,000 employees and operations in approximately 40 countries, there is no shortage of opportunities for people with initiative who want to make a dierence. Our biggest expectation is that youll stay curious and motivated to make the best of this internship opportunity for yourself. Keep learning. Take on more responsibility. In return, well back you to develop into an even more awesome version of yourself.

If you want to work at the cutting edge of whats possible, surrounded by progressive, inspiring and supportive colleagues, there is no better place to invest your talents than at ING. Apply today.