Data Scientist 100% (m/f)

  • die Mobiliar
  • Nyon, Switzerland
  • 04/04/2018
Full time Data Science Data Engineering Machine Learning Data Analytics Big Data Statistics Software Engineering

Job Description

We are a solid mutual insurance company in Switzerland and the market leader in household insurance, business insurance and term life insurance.

The Insurance Industry is undergoing a digital transformation. At Swiss Mobiliar, the "Digital Transformation" team uses modern computational and data science approaches to rethink our business processes, extract more value from our data, offer new services to our business partners, and enhance the way we interact with our clients.

For our "Digital Transformation" team in the Life Insurance department in Nyon (VD) we seek a dynamic individual with expertise in the area of Data Science, who brings the excitement about new technologies to this centuries-old industry. This is a great opportunity to shape the future of Life Insurance working for one of Switzerland's most well-known insurance companies.

What you will do

  • Develop data-driven software products and services for Life Insurance in an agile development environment
  • Gather, process, analyse and obtain insights from both internal and external data
  • Employ a wide variety of data science/artificial intelligence methods and tools, embedding them into the software solutions you will create
  • Represent the Digital Transformation group in any matters related to Data Science
  • Contribute to the ideation phase of any of the projects you will participate in

What you bring

  • Master's degree in Computer Science (PhD a plus)
  • Experience in one or more of the following domains: machine learning, data mining, text mining, natural language processing, image analysis, speech recognition
  • Experience in agile software development (mainly Java; Scala or Python a plus)
  • Knowledge of French and English (German a plus)
  • Excitement about new technologies and interest in working in the area of Life Insurance
  • Strong analytical skills, methodological thinking and problem solving capabilities

Do you think you can contribute? Did we spark your interest? Then let us talk!

Please contact Mirlinda Sulimani, Recruitment Specialist, +41 22 363 89 52