As a Data Scientist you will be part of our Data & Analytics service line. Our team aims to support clients in their end-to-end Data & Analytics needs, ranging from data strategy and data management to predictive and prescriptive analytics.
A Data Scientist at BearingPoint is a little different than at other companies. Of course, you will help our clients by creating statistical, optimization and machine learning models, but that is not all you do. You will also act in a consulting role, helping the client identify the best (analytics) option for their business challenge, advising them on which question to tackle first and sometimes even teaching client employees your skills.
As a Data Scientist you are responsible for delivering advanced analytics projects and, depending on your experience level, leading small teams of colleagues in delivery. During a project, you will make smart use of the available data from the client and if of value, augment that with additional data, for example from open data sources.
Your primary responsibilities are:
BearingPoint offers the opportunity to work with a multidisciplinary team of talented professionals in The Netherlands, being part of our firm wide community. The spirit is entrepreneurial; the culture is cooperative; the structure is flat, and the result is growth.
Working at BearingPoint means:
BearingPoint is an independent management and technology consultancy with European roots and a global reach. The company operates in four units: Consulting, Solutions, Business Services, and Ventures. BearingPoint’s clients include many of the world’s leading companies and organizations. The firm has a global consulting network with more than 10,000 people and supports clients in over 75 countries, engaging with them to achieve measurable and sustainable success.
What I like most about consultancy is that every day is different. What makes the atmosphere at BearingPoint outstanding to me is the amount of appreciation you get for your work, the open attitude and the willingness to help from all colleagues. Please contact me @firstname.lastname@example.org.
The benefits of working in a small office is that everybody knows each other and you work on a broad range of projects. At the same time, you can still enjoy the feel of being part of a big impactful company. Please contact me at email@example.com