- REQ-10104935
- 28/12/2025
- Data Science
- Amsterdam, Nederland
- €3.872,12 - €6.345,61
- ING Bank
We are looking for an eperienced Data Scientist to drive one of our data science initiatives. The ideal candidate brings etensive epertise in statistical modeling, machine learning, and data analytics. In addition to technical proficiency, strong interpersonal skills are a must, as you will collaborate cross-functionally, and play a strong role in both developing and communicating analytic solutions.
The team
Tribe Growth orchestrates the total relationship throughout a customer’s lifetime. With over 70 data analysts and scientists, we accelerate the transition towards becoming a fully data-driven organization and becoming the best mobile-led bank on the continent. We work in multi-disciplinary teams, allocated as data consultants both internally and eternally to our tribe.
At ING we promote diversity and want to make our teams a reflection of our world. If you recognize yourself in the description below, but your profile doesn't match the job description 100%, don't hesitate to apply.
Roles and responsibilities
We value innovation and epect you to eplore new use cases, contributing to our evolving data-driven strategies. Proficiency in data eploration, visualization, and storytelling is crucial for transforming comple findings into actionable insights for both technical and non-technical stakeholders. If you are a seasoned data scientist with a passion for innovation, ready to drive impactful insights and committed to personal growth, we want you on our team.
How to succeed
We hire smart people like you for your potential. Our biggest epectation 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.
An MSc or Ph.D. with ecellent academic results in the field of Computer Science, Machine Learning, Mathematics, Statistics, or other quantitative fields.
4+ years of relevant and demonstrable eperience in the field of data science.
Both broad and in-depth knowledge of machine Learning techniques: Classification, Regression, Clustering, Tet Mining and Deep Learning.
Eperience with programming Languages and tools including Python, PySpark, SQL, Git, Shell.
Familiarity with cloud platforms, particularly GCP and BigQuery is a plus.
You embrace writing readable, documented and efficient code.
You are not afraid to learn new technologies and help work through data engineering partnerships.
Understanding of model lifecycles and monitoring including developing and bringing models to production.
Demonstrated eperience successfully collaborating in cross-functional teams including business, engineering and data science stakeholders.
Eperience in working in an Agile/Scrum is also a plus.
You are open to feedback and growth on technical skills, business applications, and soft skills.
You are fluent in written and spoken English. Dutch is a plus.
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. https://careers.ing.com/en/benefits-NL
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? **https://careers.ing.com/en/working-in-the-netherlands
Questions?**
Contact the recruiter attached to the advertisement. Want to apply directly? Please upload your CV and motivation letter by clicking the ‘Apply’ button.
Your place of work
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Malgorzata Witczak
Bij ING willen we het beste uit mensen halen. Daarom hebben we een inclusieve cultuur waarin iedereen de kans krijgt om te groeien en een verschil te maken voor onze klanten en de samenleving. Diversiteit, gelijkheid en inclusie staan bij ons altijd voorop. We behan iedereen eerlijk, ongeacht leeftijd, geslacht, genderidentiteit, culturele achtergrond, ervaring, geloof, ras, etniciteit, beperking, gezinssituatie, seksuele geaardheid, sociale afkomst of wat dan ook. Heb je hulp nodig of kunnen we iets voor je doen tijdens je sollicitatie of gesprek? Neem dan contact op met de recruiter die bij de vacature vermeld staat. We werken graag samen met jou om het proces eerlijk en toegankelijk te maken. Lees hier meer over hoe wij staan voor diversiteit, inclusie en erbij horen.