Data scientist at ING Analytics

The Data Scientist hired will be responsible for scoping, developing, validating, and documenting machine learning-based solutions which will form the core of products which INGA-WB develops for ING. This will also include carrying out world-class Research and Development where appropriate to arrive at a solution, as well as potentially guiding and mentoring more junior members and STAs or Masters students (though this person will not be a line manager).

The team

ING’s goal is to enable people to “do their thing” and empower them 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. The ING Analytics group is a major driving force in ING’s transformation, aimed at helping us to become a data-driven organization, where advanced analytics is at the heart of our business processes.

Roles and responsibilities

Your main focus will be on:

• Develop an expertise in applying LLM, NLP, machine learning techniques for: automated data extraction from documents, outlier and fraud detection, representation learning, entity resolution, and network & graph applications.

• Adopt best practices and quality standards for developing & deploying fit-for-purpose model pipelines, addressing the requirements of the ING model governance.

• Be an effective member of a model development & implementation squad, challenge the status quo and build what matters.

• Actively learn about our domain, reach out to our stakeholders, and tell captivating stories with our data to create a journey that makes our bank and our society safer.

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.

• MSc or PhD with excellent academic results in the field of Mathematics, Physics, Computer Science, Engineering, Econometrics or similar.

• You have at least 2+ years of work experience in the Data Science space (methods, technology, data) including statistical modelling and machine learning experience to solve business questions and/or develop (innovative) data driven products.

• Programming Languages: Python is an advantage

• You are able to explain complicated subjects clearly

• You are friendly and approachable with good humor and personality

• You are motivated to keep on top of the latest developments

• You have good knowledge of a wide range of machine learning algorithms, ranging from more classical econometric models to cutting-edge neural networks and are able to match them to business problems

• You are a team player who strikes effective balance between independence and acting in the interest of the team

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. You can find out more about our employment conditions at Benefits in the Netherlands

The benefits of working with us at ING include:

• Asalary tailored to your qualities and experience

• 24-27 vacation days depending on contract

• Pension scheme

• 13th month salary

• Individual Savings Contribution (BIS), 3.5% of your gross annual salary

• 8% Holiday payment

• Hybrid working to blend home working for focus and office working for collaboration and co-creation

• Personal growth and challenging work with endless possibilities

• An informal working environment with innovative colleagues

About us

With 60,000 employees and operations in approximately 40 countries, there is no shortage of opportunities for people with initiative who want to help people take a step ahead in life and in business. Do you want to work at the cutting edge of what’s possible and at the same time ensure you work with integrity and hold the customer’s interests at heart? Do you want to be surrounded by progressive, inspiring, diverse and supportive colleagues? Then there is no better place to invest your talents than at ING. Join us. Apply today.