Kotlin continues to conquer new areas of software development, but some are still firmly held by one or two languages. Data science, statistical analysis and machine learning are largely Python domains, but with many performance-focused implementations based on the JVM, Kotlin has a good chance to break into this scene too. The intention of this talk is to give a shallow overview of what you can do today.