Data Scientist

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 doesnt match the job description 100%, dont 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. You can find out more about our employment conditions at https://www.ing.jobs/netherlands/Why-ING/benefits.htm

The benefits of working with us at ING include:

• A salary tailored to your qualities and experience

• 24-27 vacation days depending on contract

• Pension scheme

• 13th month salary

• Individual Savings Contribution (BIS), 3.5% of your gross annual salary

• 8% Holiday payment

• Hybrid working to blend home working for focus and office working for collaboration and co-creation

• Personal growth and challenging work with endless possibilities

• An informal working environment with innovative colleagues

About us

With 60,000 employees and operations in approximately 40 countries, there is no shortage of opportunities for people with initiative who want to help people take a step ahead in life and in business. Do you want to work at the cutting edge of what’s possible and at the same time ensure you work with integrity and hold the customer’s interests at heart? Do you want to be surrounded by progressive, inspiring, diverse and supportive colleagues? Then there is no better place to invest your talents than at ING.
Join us. Apply today.

Questions?

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