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Senior - Data Scientist



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ING is looking for an Experienced Senior 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, guide and mentor junior team members, and lead projects from inception to implementation.

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.
  • 8+ 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 comfortable with complex stakeholder management.
  • You are able to identify opportunities and prioritize according to impact.
  • 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?

Want to apply directly? Please upload your CV and motivation letter by clicking the “Apply” button.

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Orhan Sari

Presenta la candidatura

In ING vogliamo che le persone possano dare il meglio di sé. Per questo, creiamo una cultura inclusiva dove tutti possono crescere e fare la differenza per i nostri clienti e la società. Promuoviamo sempre diversità, uguaglianza e inclusione. Non tolleriamo nessuna forma di discriminazione: per età, genere, identità di genere, cultura, esperienza, religione, razza, disabilità, responsabilità familiari, orientamento sessuale o altro. Se hai bisogno di supporto o un aiuto durante il processo di selezione o colloquio, contatta il reclutatore indicato nell'annuncio. Saremo felici di aiutarti per rendere tutto giusto e accessibile. Clicca qui per scoprire di più sul nostro impegno per diversità e inclusione.

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