Data science predictive models are algorithms used to create reliable predictions about future events based on past data. They employ a broad range of techniques, including statistical modeling, machine learning and artificial intelligence, to analyze large datasets and identify patterns that can be used to make predictions. By finding correlations between variables, data science predictive models help companies gain insights into their customers and markets, allowing them to make more informed decisions and improve outcomes.