Data Scientist in Amsterdam

ING is looking for a Data Scientist 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 with a code review in Scala 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. And at the end of the day, remembering to quickly write some front-end javascript to address a bug in our production system that was flagged earlier that same day. 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 you are passionate about your field of work: Data Science and Software Engineering. 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 want to work with key developments in the Data Science area. Experimenting with new algorithms and technology.

What department?

The Wholesale Banking Advanced Analytics team is a team of 40 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. You’ll be part of the Non-Financial Risk squad within WBAA, which is without a doubt the best part J

Job description

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 through calibrating the metrics and improving the framework of our innovative platform. 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 visualisations 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 behaviour and possible correcting actions.

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

• Kubernetes
• Ceph
• Docker
• Spark
• Flink
• Scala
• Python
• Polymer

Do you recognize yourself in this profile:

• MSc or PhD with excellent academic results in Computer Science, Software engineering and experience in Artificial Intelligence or a degree in Stats/Math with deep experience in production-grade software development and preferably in machine learning implementations.
• 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.
• 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, Scala (medium), Javascript (Polymer and/or D3.js) and HTML/CSS (basic). Experience in delivering (near) production grade code.
• Experience with engineering tools like Docker / OpenShift / Kafka or strong willingness to learn and use these. 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.

Moreover

• 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.

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 behaviour is not tolerated, neither is underperformance. 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 more information please contact Lucja Walczak at

We are looking forward to getting to know you