The landscape of data science is undergoing a profound transformation, making it increasingly challenging for professionals in the field. Just a week ago, discussions centered on advanced technologies shifted from traditional machine learning and deep learning to the forefront of generative AI and large language models (LLMs). As these tools gain prominence, the definition of a ‘good’ data scientist is also rapidly evolving, necessitating a skill set that now demands adaptation and continuous learning.