Are you ready for a new challenge at

As the leading Swiss Internet comparison service with an excellent track record, is a top choice for creative individuals with their sights set on the future. Your skills, your talent and your ideas are wanted! By us. As a team. And by the many users who rely on the comparison and valuation services of each and every day.

Why Comparis?

Did you know that employs over 180 people at its Zurich offices? That we have been in business since 1996? And that the startup spirit is still alive and kicking in our established enterprise? Take a few minutes to check out the facts and find out how stands out from the crowd as a potential employer.

We make our customers happy.

We are committed to meeting the needs of consumers, while remaining completely neutral and fully transparent.

We are successful online.

Notching up almost 75 million visits each year, ranks among the most widely used websites in Switzerland.

We thrive on innovation.

Whether developing new Fintech/Insurtech business fields or refining existing services, we like to float trial balloons that are filled with rich knowledge – not hot air.

Interested in joining us?

Find a job

We remain humble.

Even as we lead the market with an awareness rate of 80%, we cultivate that typically Swiss trait of refined understatement.

We are here.

The head office of is centrally located in Zurich and easy to get to.

Your benefits

By providing a dynamic working environment that allows you to apply your skills effectively, we help you to flourish both personally and professionally.

Part-time? No problem!

Rather not work full-time? Depending on the job profile, this is easily accommodated.

Want to progress?

We can help. Show us what you want to do for us – and we’ll contribute to your training costs.

Work can be fun.

Our offices offer many benefits and are designed with such a homely feel that you almost don’t want to leave at the end of the day.

Part-time? No problem!

Rather not work full-time? Depending on the job profile, this is easily accommodated.

Want to progress?

We can help. Show us what you want to do for us – and we’ll contribute to your training costs.

Part-time? No problem!

Rather not work full-time? Depending on the job profile, this is easily accommodated.

How to apply

All good things come in threes. That's why our tried-and-tested selection procedure comprises three stages and is fair and transparent for everyone. It means that we can all be can be sure of making the right decision when it comes to our shared future at

Jobs currently has the following positions available: is THE consumer empowerment platform in Switzerland. We compare prices and services of insurance companies, banks, telecom companies and online shops. With our marketplaces, we support users in the search and evaluation of real estate and vehicles. Our current tips and tricks on consumer topics offer users additional help in keeping track of the consumer jungle. So that we can continue to make consumers' lives even easier in the future, we are looking for a..

Senior Data Scientist / Machine Learning Engineer


  • You have the chance to join - and shape - the newly established and growing Data Team. We are a highly motivated team of diverse experts. Our main mission is to build data products (e.g. recommendations) in order to offer our users a highly relevant customer experience. Furthermore, our job is to provide everyone in the organization with the necessary tools and knowledge to come to better, more informed decisions. We work with agile methods in interdisciplinary teams and highly value autonomy. This position can be filled in our Zurich office. Remote employment is possible as well, although some more frequent travel will be required in the beginning.


  • Planning and implementation of new data products, in close collaboration with our Data Product Owner, Product Managers and Data Engineers
  • Development of statistical models for a variety of and ever increasing number of use cases (prediction / classification / recommendations / personalization) and getting them into production
  • Monitoring, testing and optimization of models in production systems
  • Optimization and expansion of our data/feature extraction pipeline in close collaboration with our Data Engineers
  • Data mining for explorative analysis, including presentation of the results
  • Coaching and enablement of members within our broader Data and Tech community on any Data Science/Machine Learning related topics
  • for own data / science projects


  • Creativity and curiosity for data-driven innovation in an online environment and ability to apply data science to delight our users and solve business problems
  • When you encounter a problem, you intuitively look for quantitative, mathematical ways to formulate it
  • Minimum of 3 years on-the-job experience, preferably in an online environment. Experience with recommender systems is a strong plus
  • Theoretical and hands-on statistics/machine learning know-how combined with experience in big data concepts and frameworks (Apache Spark, Kafka..)
  • Practical experience with tools for statistical modeling (e.g. Python scikit-learn, SparkML). Experience with deep learning frameworks (e.g. Tensorflow, PyTorch) is a strong plus
  • Significant experience in at least one programming language (Python, Scala, Java) across SQL and noSQL databases
Have we triggered your interest? If you are eager to be part of this amazing journey and want to have societal impact with your work, please submit your application (CV, cover letter) online. We are looking forward to your application.
For better readability we have chosen the masculine form in person names, however, the information refers to members of all genders.
The post will remain advertised until at least 8 January 2021. A first pre-selection will be completed by that date. Due to the Christmas and New Year period between publication and pre-selection, please do not expect to hear back from us before 8 January 2021. We thank you for your patience.
Note for recruitment agencies: For this position we only consider direct applications.
Daniel Götze, HR Business Partner
Birmensdorferstrasse 108, 8003 Zürich

Can't see your dream job? Don't worry. Contact us anyway. Tell us your ideas or give us a specific example of what you would like to do for Tell us what motivates you. And how you would like to work with us. We look forward to hearing from you.


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