Data Scientist (NDL/ENG)

What does this job entail?

In the wise words of our CEO: ‘Data is the new electricity.’ It’s causing a genuine revolution. KBC wants to be the reference in the financial sector for all matters relating to data analytics and AI. We want to be a data-driven organisation. As a member of the Data Science team, you’re at the heart of our strategy.

Together, we develop artificial intelligence and machine learning solutions that transform our business. We work on them using, among others, data platforms like HDFS, Spark and AWS.

You can be sure you’ll make an impact working with this team. We will use data in a better way, better understand our clients and our processes, and better manage risks. Is that something you would like to be part of?

What do we expect from you?

• You develop AI/ML solutions that transform our business. In order to roll them out successfully, you work closely with your colleagues in IT.
• You stay up to date with data science and AI.
• You help to strengthen the foundations within the KBC Group in the areas of knowledge and technology.
• You network with potential academic and commercial partners to set up partnerships.
• You lead E2E data science projects, including stakeholder management and communication and supporting junior data scientist.

Your key strengths?

• You have either a master’s degree with at least 2 years of experience in data science or a doctorate in Econometrics, Actuarial Sciences, Maths, Applied Sciences, Computer Sciences, Statistics, Physics or a similar discipline.

• You communicate fluently in English. For example, you have no problem clearly explaining an AI solution to the management team. Knowledge of Dutch or French is a plus.

• You have experience with data analytics and know how to use the more common tools for statistical analysis and machine learning and (Generative) AI.

• You have insight into learning algorithms, data-processing strategies, machine learning and natural language processing and know how to implement them in a business context.

• You’re more than able when it comes to Python and data science toolsets (pandas, scikit-learn or H2O, Hugging Face etc). Any experience you have with any of the following will be a benefit:

• Learning frameworks (TensorFlow, PyTorch or Keras)

• Big data analyses via cloud computing (AWS of MS Azure)

• Apache Spark, Hadoop, Kubernetes

• Cloudera

• Git.

• You’ll catch our eye with any data science experience you have in a business context. But we will still be glad to meet you even if you don’t have the experience; we consider your drive and motivation to be vitally important.

What can we offer you?

• You work together with an exceptional team of data science professionals: people with different cultural backgrounds who have followed different paths in their education and their professional careers. This diversity strengthens our team.
• Our clients already know our digital assistant, Kate, as well as our investment assistant, Matti. You help these virtual assistants to develop and stay in step with our ambitions. In other words, you work on high-impact, strategic projects.
• We offer you an exceptional range of training and development opportunities so that you can develop your full potential. You are encouraged to keep growing as a person and professionally.
• You will receive a permanent contract with a competitive salary, including an extensive package of additional benefits.
• Our offices are easily accessible by public transport. You can also work partly from home if you like, even when the covid-related regulations are no longer in place.
• We value a good balance between your work and private life.