Data Scientist II

ING’s goal is to empower people to stay a step ahead in life and in business. We are one of the largest banks in Europe and we continuously evolve to become one of the most innovative companies in the banking sector.

RBA provides ING with analytics expertise for the retail banking countries. We are based in Amsterdam. Data Scientists have diverse nationalities and backgrounds (such as physics, statistics, maths, computer science, econometrics, engineering...). We are dedicated to bringing out the best in both each other and our projects through collaboration and knowledge sharing. The portfolio of projects is broad and uses a wide range of analytics and tools, but all relate to mortgages, consumer finance and business banking.

Roles and responsibilities

As a Data Scientist, you will be

• developing analytics solutions for a specific business use case,

• working together with other data scientists, product managers, engineers

• actively engaging with stakeholders,

• creating impact

​How to succeed

We hire smart people like you for your potential. Our biggest expectation is that you’ll stay curious. Keep learning. Take on responsibility. In return, we’ll back you to develop into an even more awesome version of yourself.

• You are highly motivated when solving complex problems and have an always-learning attitude. You keep on top of the latest developments in analytics and apply them in your projects where they bring value. You enjoy sharing knowledge with your teammates and helping others improve alongside you.

• Willingness to learn: you are self-reflective and open to constructive criticism on both the technical and interpersonal level.

• Theoretical knowledge of statistical modelling and machine learning, and a demonstrated ability to apply these to solve business problems and develop innovative models and/or data-driven products.

• Max 2 years of work experience in the data science field, ideally in the private sector. Knowledge of lending, customer intelligence, and credit decision domains is a strong plus.

• You have a very solid educational background that includes mathematics and statistics (M.Sc. or Ph.D.).

• You have excellent written and oral communication skills in both technical and business contexts. Fluency in spoken and written English.

• Strong Python programming skills. Spark experience, data engineering fundamentals, and familiarity with DevOps and an Agile mindset.

Rewards and benefits
We want to make sure that it’s possible for you to strike the right balance between your career and your private life.

The benefits of working with us at ING include:

• 25-28 vacation days depending on contract

• Pension scheme

• 13th month salary

• 8% Holiday payment

• Hybrid working

• Personal growth and challenging work with endless possibilities

• An informal working environment with innovative colleagues

About us
Curious about how ING empowers people and businesses to move forward?

Questions?
Contact the recruiter attached to the advertisement. Want to apply directly? Please upload your CV and motivation letter by clicking the ‘Apply’ button.