Think Forward! Our purpose is to empower people to stay a step ahead in life and in business. We are an industry recognized strong brand with positive recognition from customers in many countries, strong financial position, omni-channel distribution strategy and international network. If you want to work at a place with lots of freedom to innovate, where we believe that you can live by the Agile manifesto without jeopardizing the necessary continuity, compliance and QA measures, where we are committed to deliver stable and secure services to end users, and where we have a ‘no nonsense’ getting-things done mentality, please read on!
As a Data Scientist in People Analytics CoE you will: (1) develop, test, deploy, and monitor analytical solutions (Natural Language Processing (NLP) or machine learning models, simulations, recommenders, etc.), end-to-end which covers ETL in MSSQL, Python app (data pipeline, model, API architecture), and front-end development in PowerBI Report Server or (minimal) HTML/CSS (2) support our team lead and product owners in technical refinement of incoming business requests (3) contribute to the data science chapter through: knowledge sharing, standardising/streamlining our technical WoW, adopting new algorithms or technologies, presenting your work to the internal/external analytics community.
Your passion is to work with the latest and greatest technologies that delivers the right analysis of data, you’re pro-active in keeping yourself up to date and are always searching for new ways to discover new technologies. You also enjoy laying the architectural foundations for the things you’re working on. You combine both thinking of the future and a hands-on, right now attitude. You will work in a team with highly skilled people and enjoy a creative atmosphere where trying things out is encouraged.
The People Analytics CoE consists of 15 people and is part of Global HR. We are working on projects to make ING the best place to work. Our team works agile and is structured in two squads: continuous listening (CL) and Workforce analytics (WFA), each squad has its own product owner and the squad’s members are either data scientists or business translators. The CL squad develops analytics products which uses data generated mainly by surveys and the WFA squad develops products for different pillars of ING’s workforce planning (structure, performance, skills & competencies). People Analytics is a relative new field and there is a lot of room for experimentation and innovation.
As a Data Scientist in our team you have the following responsibilities:
Programming: Python, MSSQL, Flask framework as back-end
Dashboarding: PowerBI, (minimal) HTML & CSS on top of Flask
Do you recognize yourself in this profile:
It is a big plus if you have:
What do we offer?
Working at ING means working in a dynamic and international setting. Individual development of our employees is very important and that is why ING offers excellent courses and programs. You will become a member of the People Analytics team, a young, innovative, fast moving team. You will work on projects and products about ING’s workforce. We have the mission to make all people related decisions in ING data-driven. A fun environment where there is lots of opportunities to better yourself, ING is building a Global Data Science Academy, to which you have full access. In addition, we offer:
We are looking forward to getting to know you
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