This article uncovers parallels between Pilot & Demonstration (P&D) programs and agile research and development (R&D) in data science teams. Drawing from previous research, it presents five key strategies to enhance R&D agility: the embrace of iterative development, promotion of knowledge spillovers, the importance of showcasing successes, cultivating a culture that views failure as a learning opportunity, and nurturing critical thinking to avoid unreflective technology adoption. This holistic approach can effectively guide data science teams towards improved adaptability and innovation in an ever-evolving technological landscape.