Proof of concept of how to use Scala, Spark and the recent library Sparkz for building production quality machine learning pipelines for predicting buyers of financial products. The pipelines are implemented through custom declarative APIs that gives us greater control, transparency and testability of the whole process. The example followed the validation and evaluation principles as defined in The Data Science Manifesto available in beta at www.datasciencemanifesto.org