People Analytics Data Scientist

You will work in a squad on the front-line closely with business translators and data engineers to agree on the best way to support our stakeholders. You will play a pivotal role in the development and delivery of advanced analytics products embedded in ING’s HR processes.

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 you, if you:

• have a good knowledge about machine learning and data science models
• have hands-on in SQL & Python
• have experience with git & (big plus) with CI/CD tools in Azure DevOps
• have experience in explaining your complex analysis to stakeholders
• support the squad’s product owners with refining & planning business questions
• have willingness to learn, both on technical and interpersonal levels
• (big plus) have experience with Power BI

Roles and responsibilities:

• Design, analyze and interpret business hypothesis and explore datasets through using available tools, you can manage stakeholders with their business challenges end-to-end, from problem, creating hypotheses, to building a small POC to show viability & feasibility
• Build or improve data-driven analytical products using data science techniques
• Recommend ideas to business when data and results are available through good visualizations or algorithms, you always think one step ahead, for example the best way of implementation
• Assist users to understand the data science principles and when needed provide an explanation for the model behavior and possible correcting actions
• Contribute to the data science chapter through knowledge sharing, improving our technical WoW, adopting new algorithms or technologies, presenting your work to the analytics community, and supporting team members with your expertise

Working at ING means working in a dynamic and international setting. Individual development of our employees is particularly important and that is why ING offers excellent courses and programs. The role is “Data Scientist III” in the global ING job architecture with a monthly salary (depends on your experience) in the range of 4.367,65 and 7.088,63 based on a 36-hours working week.

Are you keen to know more or apply?

For further inquiries, please contact the recruitment team. We are looking forward to getting to know you. An assessment of technical skills will be a part of the selection process. Your name and email address will be shared by the third-party assessment provider. Please check Privacy Statement for ING Job Applicants  https://www.ing.com/Privacy-Statement.htm

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:

• A salary indication in scale 10 between 4,367 and 7,088 EUR based on a 36-hour working week
• 24-27 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

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.