5 AI Skills That Will Keep Data Scientists Relevant in 2027

Five essential AI skills are identified to ensure data scientists remain relevant in the coming years. These skills include retrieval-augmented generation (RAG) for grounding models in custom data and model routing for cost-effective AI use. The content also covers implementing guardrails to handle security risks like prompt injection and PII redaction. Additionally, it discusses the importance of evaluations for measuring model performance and using agent loops for multi-step tasks. Each skill is explained with practical Python code examples that can be run in a notebook.