We need you to help us reach our Big Hairy Audacious Goal! By building really smart software we enable insurers worldwide to automatically detect insurance fraud and identify high risks. Our ultimate dream is that in 2025 the FRISS Score is the global trusted standard for honest insurance. Are you ready for an adventure? Do you have knowledge and experience within data science and are you ready for a next step? We want to expand our data team with a colleague who likes to work hands on and can act as an inspirator for your colleagues and our customers.

Your mission as ML Engineer

Work with FRISS in the next level of data driven fraud analytics and join the teams mission to make FRISS an even more data-driven company. Develop fraud models for our customers and help us making the best products ever in this sector.

What will have you achieved as ML Engineer after one year? 

You are one of the ambassadors of data within FRISS towards your colleagues as to our customers. You collaborate with your colleagues in Sakura, product development, and customer operations to design, build, and maintain Machine Learning systems throughout the entire ML lifecycle: from training, to deployment and live predictions. You challenge/coach your team members and your colleagues to think in ways to improve themselves AND our products & services. You’ve added your own signature and ideas to our Data Science strategy. Ok, enough of this, let’s talk bullet points!

  • Get data science into practice: Think about what the value of the model is and how it can help our customer in the best way!
  • Code and discover: Together with your team you try new things and tools with the goal to improve our models and data strategy!
  • Make it scalable…: Develop and maintain production-grade models that can handle numerous concurrent predictions!
  • … and make it awesome: Optimize, refine, and redefine our Machine Learning systems to squeeze out the most out of a customer’s data!

You and your FRISS team  

Together with the Sakura team you will work on Machine Learning models that make it easier for our customer to predict fraud and in the end, fight it. Based on input from the customer operations team, as well as the customer, you develop new ideas in how to improve the models. The Sakura team loves challenges So you need to challenge them with your creative, analytical and business oriented mindset (And in return, they will challenge you back!)

Who are you?

You have a great interest in the world of data and you are always looking for ways to optimize the world around you. You have a relevant Master’s degree and a proven track record as a Machine Learning Engineer for at least 2 years. You like to build cool things that actually add value. You make data practical and you think in terms of how can data improve our business.

We’d really like if you have experience in as many of the following as possible:

  • Python
  • Azure
  • Building REST APIs
  • Docker
  • Git
  • CI/CD pipelines
  • Communication & presentation skills

You have our full attention if you also have:

  • Experience with scalable analytics engines (Spark or Dask)
  • Experience with Kubernetes
  • Experience with SQL
  • Basic knowledge of JavaScript
  • Basic knowledge of C#

Don’t let Imposter Syndrome stop you from applying! If you have any questions, you can contact us at shravan.rangarajan@friss.com.

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