Junior Data Scientist

ING is looking for a Junior Data Scientist in Tribe Growth 

We are looking for a Junior Data Scientist to join one of our data science initiatives. The ideal candidate brings understanding of statistical modeling, machine learning, and data analytics, along with an appetite to learn the financial services industry.  In addition to technical proficiency, interpersonal skills and a strong growth mindset are a must, as you will collaborate cross-functionally.    

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 an emerging 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. We are looking for:

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

OR 1+ years of relevant and demonstrable experience in the field of data science and significant relevant experience in Financial Services. 

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

• 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

• 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.

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?

Discover what we do and what we can offer you.

Questions?
Contact the recruiter attached to the advertisement. Want to apply directly? Please upload your CV and motivation letter by clicking the ‘Apply’ button.