Software Developer Data Analytics

  • Friss
  • Utrecht, Netherlands
  • Jul 22, 2017
Full time Developer

Job Description

Do you have a passion for analyzing data, creating interactive web visualizations or are you awesome at processing data at scale, then we are looking for you! We are on the hunt for a software developer data analytics.

We are looking for an enthusiastic data scientist or analytical developer who is passionate about data, algorithms and developing state-of-the-art web applications that can help us become the world best fraud-busters. 



FRISS ( offers a ready-to-use business solution for fraud detection, risk management and compliance for non-life insurers. With our innovative ‘Software-as-a-Service’-platform, FRISS is the market leader in Europe and we are expanding rapidly worldwide.

The main aim of the FRISS system is to deliver the best possible risk and fraud screenings for insurers. The outcome of a screening is something we call the FRISS score, which in turn is used by insurers worldwide to make faster and better business decisions.

Our company
FRISS is a mid-sized company (75+ employees) based in Utrecht, located in the centre of the Netherlands. We reside in Creative Valley, an inspiring and award winning working environment full of innovation. Our business success has got everything to do with our business culture. We are driven, self-conscious, social and creative which attracts enterprising and enthusiastic people. 

At FRISS we are highly interested in your opinion and thoughts on data, products, strategies and life in general. 


Our job

We are looking for a data enthusiast with a passion for developing state-of-the-art interactive web applications tailored to analyzing, visualizing and processing insurance data. 

As a Software Developer Data Analytics you’ll be working in an interdisciplinary Agile/Scrum based team, comprised of Data Scientists, Business Analysts, Software and DevOps Engineers. 


Technology pack

  • We use both open source products from the Linux stable and Microsoft technologies based on .Net
  • We use R and Python as our main tools for data analysis
  • We use JavaScript and Shiny, an R web application framework, for frontend development of our apps
  • For our backend processing we use both traditional SQL databases like Microsoft SQL Server and NoSQL We use databases such as MongoDB, Neo4j and Elasticsearch
  • We love cloud solutions like AWS and Azure, but we mostly work in private cloud scenarios or on premise. For analyzing large volumes of data we’re more than interested in using Apache SPARK
  • For visualization libraries we like d3.js, vis.js and or plotly.js
  • We like the micro-services concept and are building RESTful APIs, using asynchronous messaging
  • To run all our apps in different environments we’ve embraced Docker for containerization We use Octopus for deployment.

If you are a purple unicorn and master all these techniques that’s awesome, but if you feel you master some of the above-mentioned techniques and are passionate about web development or data science, give us your call as well, we’re definitely interested!


You are

  • Familiar with at least a subset of the above-mentioned technologies
  • Embracing and enjoying new technologies and love to learn more Capable of reading user stories and translating them into technical solutions
  • Focused on quality and details, even in a fast-paced environment
  • Familiar with insurance data, but in case you don’t, it is not a problem
  • Eager and ambitious
  • Communicative and a team player.