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People Analytics Data Scientist

at ING
MIDDLE
✅ Hybrid
✅ Visa Sponsorship

🕙 36 hours per week

SCRAPED

Used Tools & Technologies

Not specified

Required Skills & Competences ?

DevOps @ 3 Python @ 3 SQL @ 3 CI/CD @ 3 Algorithms @ 3 Machine Learning @ 3 Data Science @ 3 Azure @ 3 Git @ 3 BI @ 3 Azure DevOps @ 3 Power BI @ 3

Details

You will work as a data scientist in our ING Global Strategy & People Analytics team where we build and deploy analytics products, data science models & dashboards to support all decisions about ING employees making ING a great place to work for.

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 experience 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 hypotheses and explore datasets through using available tools, 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, 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 ways of working, adopting new algorithms or technologies, presenting your work to the analytics community, and supporting team members with your expertise

Benefits

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 benefits of working with ING include:

  • A salary indication in scale 10 between €4,367 and €7,088 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

About ING

Curious about how ING empowers people and businesses to move forward? Discover what ING does and what they offer on their careers page.

Application

For further inquiries, please contact the recruitment team. 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 under ING's privacy statement. Upload your CV and motivation letter by clicking the ‘Apply’ button.