Job description


Are you an experienced Data Scientist and want to have a key rol at an innovative company? Check out this vacancy!


This international company (±150 fte) focuses on taking away stress when managing large or complex deals with many moving parts. Their focus on security, reliability, service and innovation relieves any uncertainty, allowing business to seamlessly focus on the deals they need to make – never having to worry about the integrity of data. Our client has maintained it’s market leading position, now pioneering highly secure Virtual Data Rooms (VDRs) and self- service document management applications.

Their application allows high level stakeholders to access a multitude of reports, assign varying permissions and access rights. Admins have complete visibility around all touchpoints of their documents, who looked at them, for how long and what may have been altered. Due to the ultra-sensitive information this company holds, security is primary concern for them, meaning their platform is pen tested constantly to ensure data leakage is impossible.

This company is currently working on a series of large greenfield projects to further improve the user experience of the Virtual Data Room (VDR) platform. This involves, amongst others, Information Retrieval from the large numbers of documents that their clients store in their platform, involving Machine Learning and other Artificial Intelligence techniques. They conduct R&D on these topics in cooperation with two Dutch universities. The goal of these efforts is to reduce work load of their clients, lawyers and other M&A professionals, in particular where repetitive work is involved, and increase the reliability of document analysis in DUE Diligences and other use cases.

They are successful worldwide and have well known clients like ING, Rabobank, Bank of America, Aegon, Santander, Deutsche Bank, Credit Suisse, GSK, Goldman Sachs, Volvo, Hitachi, Ikea, KPN, Vodafone, Saint-Gobain.


There are two IT development teams, one small team in London and one in Amsterdam. The current IT team in the Netherlands includes i.a. ±10 Fullstack Developers, 1 Data Engineer and 2 Senior Data Scientists. You and your colleague wil lead the data science projects. You’ll be working in a fast-paced agile environment and focus on i.a. researching new models to extract information from sensitive documents and improve AI models by making them smarter and faster. The more ins and outs you know about algorithms, the better! You get the chance to come up with your own ideas and apply them into the solutions/products.

– Technology Stack / Methods –

i.a. Machine Learning, Deep Learning, Python, Natural Language Processing, Azure Functions, Azure DevOps, CI/CD, Docker, Agile, Scrum. Less important, but also part of the tech stack of your colleagues: .NET, MSSQL, Angular, Javascript, ISO27001.


  • Master’s degree in Artificial Intelligence, Computers Science or other relevant education;
  • >5 years of experience with Data Science and Python;
  • Experience with NLP

Also, you have excellent communication skills (written and verbal) and most importantly, can self-organise as part of the Agile mindset.


They offer you:

The key to achieving success is the dedication and creativity of this company’s staff in delivering innovative technical solutions while providing outstanding service. At this company, they foster a culture that recognises excellence and rewards performance, where individual employee goals are closely aligned with those of the company and their clients, and where their employees are inspired to make the company’s success their own.

Next to this, they offer:

Good salary (about €5.000 – 7.500 gross/month), 8% holiday pay, 25 holidays, travel expenses, compensation for work-related expenses, pension plan, laptop, flexibility/working from home, study budget/facilities.


Are you the experienced Data Scientist we’re looking for? Please apply! If you have any questions, please don’t hesitate and contact Maurice van der Wal.


Maurice van der Wal
+31(0)6 21 22 03 27

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