According to the State of Data Science survey done by Anaconda, the top 5 most important skill gaps in data science are:
⭐️ Engineering skills
⭐️ Probability and statistics
⭐️ Business knowledge
⭐️ Big data management
⭐️ Communication skills
These skill gaps cut across multiple knowledge domains, from technical skills to soft skills, reflecting the needs for data scientists or a data science team to possess these skills to ensure project success.
Also note that these are mostly fundamental skills, rather than specialised skills such as NLP. Perhaps reflecting the nascency of data science in most organisations.