This data project has been used in the recruitment process for the data science positions at BCG Gamma. Assignment Scenario: Our client, PowerCo, is a major utility company providing gas and electricity to corporate, SME, and residential customers. In recent years, post-liberalization of the energy market in Europe, PowerCo has had a growing problem with increasing customer defections above the industry average. Thus, PowerCo has asked BCG to work alongside them to identify the drivers of this problem and to devise and implement a strategy to counter it. The churn issue is most acute in the SME division and thus they want it to be the first priority. The head of the SME division has asked whether it is possible to predict the customers who are most likely to churn so that they can trial a range of pre-emptive actions. He has a hypothesis that clients are switching to cheaper providers so the first action to be tried will be to offer customers with a high propensity of churning a 20% discount. Your task: We have scheduled a meeting in one week's time with the head of the SME division in which you will present our findings on the churn