The time when it was okay for Data Science to just be cool is over. Nowadays, the expectation is to integrate models into production seamlessly. At Helvetia, the third biggest insurance company in Switzerland, data scientists can prototype on their personal sandbox and deploy cutting-edge data products effortlessly. They created a cloud-based working environment together that takes out the burden of deployment, allowing the data scientists to focus on what they can do best. This talk will explain how the Data Science Workbench was designed and discuss the key ideas and components: AWS AMIs to pre-configure EC2 instances equipped with key data science tools. Users manage their instances comfortably via Slack. Julia and Christian will also discuss our experiences and other insights gained during development.