  We argue for the need for a new generation of data science solutions that can
democratize recent advances in data engineering and artificial intelligence for
non-technical users from various disciplines, enabling them to unlock the full
potential of these solutions. To do so, we adopt an approach whereby
computational creativity and conversational computing are combined to guide
non-specialists intuitively to explore and extract knowledge from data
collections. The paper introduces MATILDA, a creativity-based data science
design platform, showing how it can support the design process of data science
pipelines guided by human and computational creativity.
