Data scientists utilize machine learning for predictions by applying algorithms to analyze historical data and identify patterns. By training models on large datasets, they can make informed forecasts about future trends, consumer behavior, or system performance. Techniques like regression, classification, and clustering help uncover insights that drive decision-making. Continuous model refinement and validation ensure accuracy over time, enabling organizations to adjust strategies effectively. Ultimately, machine learning empowers data scientists to transform data into actionable predictions that guide business strategies.