Data scientists analyse large datasets to extract valuable insights and drive data-informed decision-making. They collect, clean, and preprocess data, applying statistical methods and machine learning algorithms to build predictive models. Their tasks include feature engineering, model training, and evaluation, followed by deployment and integration into real-world systems. Data scientists use tools like Python, R, SQL, and machine learning libraries to develop solutions.