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Junior Data Scientist



Ich möchte mich bewerben

We are looking for an experienced Data Scientist to drive one of our data science initiatives. The ideal candidate brings extensive expertise 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 externally 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 expect you to explore new use cases, contributing to our evolving data-driven strategies. Proficiency in data exploration, visualization, and storytelling is crucial for transforming complex 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 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.

  • An MSc or Ph.D. with excellent academic results in the field of Computer Science, Machine Learning, Mathematics, Statistics, or other quantitative fields.

  • 4+ years of relevant and demonstrable experience in the field of data science.

  • Both broad and in-depth knowledge of machine Learning techniques: Classification, Regression, Clustering, Text Mining and Deep Learning.

  • Experience 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 experience successfully collaborating in cross-functional teams including business, engineering and data science stakeholders. 

  • Experience 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.

Ich möchte mich bewerben
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Questions? Just ask
Malgorzata Witczak

Ich möchte mich bewerben

Bei der ING möchten wir, dass jeder sein volles Potenzial entfalten kann. Wir schaffen eine Kultur, in der jeder wachsen und einen Unterschied machen kann – für unsere Kundinnen und Kunden und die Gesellschaft. Diversität, Gleichberechtigung und Inklusion sind für uns selbstverständlich. Wir tolerieren keine Form der Diskriminierung, sei es aufgrund von Alter, Geschlecht, Geschlechtsidentität, kulturellem Hintergrund, Erfahrung, Religion, Herkunft, Behinderung, familiären Verpflichtungen, sexueller Orientierung oder anderen Gründen. Wenn Ihr während des Bewerbungsprozesses oder der Vorstellungsgespräche Unterstützung benötigt, kontaktiert uns bitte über die E-Mail-Adresse in der Stellenanzeige. Wir helfen gerne, um einen fairen und einfachen Ablauf sicherzustellen. Hier erfahrt Ihr mehr über unser Engagement für Diversity, Inclusion & Belonging.

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