Senior Data Scientist

REQ-10106663
14/01/2026
Data Science
Amsterdam, Olanda
€5.485,70 - €8.828,03
ING Bank

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

About ING Analytics
The ING Analytics group is a major driving force in ING’s transformation. Our mission is to help ING become a data-driven digital leader and create tangible value for ING and its customers through world-class analytics models, products, and services.

Retail Banking Analytics Data Science Chapter
This chapter provides machine learning expertise for developing lending, pricing, and personalization analytics. Based in Amsterdam, we are a team of 10+ highly skilled Data Scientists from diverse backgrounds such as physics, statistics, mathematics, computer science, econometrics, and astrophysics. We work in a creative and collaborative environment, sharing knowledge and supporting each other to deliver impactful projects. Our portfolio is broad and uses a wide range of algorithms and tools, all related to risk and pricing.

What you’ll do

Develop machine learning and advanced analytics solutions for specific business use cases.
Take a leading role in solution development and support medior and junior data scientists.
Actively engage with stakeholders.
Collaborate with subject matter experts and machine learning engineers to bring models into production.

Who you are

Highly motivated to solve complex problems with a continuous learning mindset.
Stay up to date with the latest developments in machine learning and apply them where they add value.
Enjoy sharing knowledge and helping teammates grow.

Required Skills

At least 6 years of experience developing Machine Learning solutions, ideally in the private sector. Knowledge of lending, credit risk, and credit decision domains is a strong advantage.
Broad experience with end-to-end machine learning project implementation, including all steps from data extraction to modeling and deployment.
Proven track record of leading multiple data science projects.
Strong programming skills in Python and Spark. Hands-on experience with MS Azure DevOps and GCP is a strong plus.
Solid educational background in mathematics and statistics (Master’s degree or preferably Ph.D.).
Strong theoretical knowledge of statistical modeling and machine learning, with demonstrated ability to apply these to solve business problems and develop innovative models or data-driven products.
Excellent written and oral communication skills in both technical and business contexts.
Fluency in spoken and written English.

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. Find out more about our employment conditions.

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?

Discover what we do and what we can offer you.

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

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Questions? Just ask
Reinier Bekker

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Chez ING, nous voulons libérer tout le potential de nos collaborateurs, grâce notamment à une culture inclusive où tout le monde peut se développer et avoir un impact sur nos clients et sur la société. Nous veillons à ce que la diversité, l'équité et l'inclusion soient prioritaires. En tant qu'employeur souscrivant au principe de l'égalité des chances, nous ne tolérons aucune forme de discrimination, qu’elle soit liée à l'âge, au sexe, à l'identité sexuelle, à l'origine culturelle, à l'expérience, à la religion, à la race, à l'origine ethnique, au handicap, aux responsabilités familiales, à l'orientation sexuelle, à l'origine sociale ou à tout autre statut protégé par la législation. Si vous avez besoin d'aide lors du processus de candidature et/ou d'entretien, veuillez contacter le (la) recruteur(se) du poste concerné. Nous serons heureux de vous accompagner pour garantir un processus équitable et accessible. Apprenez-en plus sur notre engagement en faveur de la diversité, de l’inclusion et de l’appartenance.