Skip to main content
Saved

Data Scientist



Apply now

Job Details

ING is looking for an Experienced Data Scientist in the Tribe Digital & Customer Interactions

We are looking for an experienced Data Scientist to lead 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

At ING, we aim to become the best mobile-led bank on the continent. The Tribe Digital & Customer Interactions drives digital sales and develops digital interactions with customers. With over 70 data analysts and scientists, we accelerate the transition towards becoming a fully data-driven organization. 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

  • 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. Find out more about our employment conditions:
https://www.ing.jobs/netherlands/Why-ING/benefits.htm

  • 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:
https://www.ing.jobs/netherlands/Why-ING.htm

Questions?

Contact the recruiter attached to the advertisement for more information. Want to apply directly? Please upload your CV and motivation letter by clicking

Apply now
Your place of work Explore the area

Questions? Just ask
Orhan Sari

Apply now

ING’s vision is to unlock our people’s full potential through our inclusive culture where everyone has the opportunity to develop and have impact for our customers and society. To achieve this vision, our policies support diversity, equity, and inclusion. As an equal opportunity employer, we do not tolerate discrimination of any kind with regard to age, gender, gender identity, cultural background, experience, religion, race, ethnicity, disability, family responsibilities, sexual orientation, social origin, or any other status protected by applicable law. If you require any assistance or if we can accommodate you in any way when participating in our application and/or interview process, please email the recruiting contact listed for the relevant position. We will be happy to work with you to ensure a fair and accessible process. Read more about our commitment to diversity, inclusion and belonging here.

More for you

No jobs viewed

No jobs saved

The latest jobs straight to your inbox

Interested In

  • Data Science, Amsterdam, North Holland, NetherlandsRemove

By submitting your information, you acknowledge that you have read our privacy policy and consent to receive email communication from ING.