Pros
1. A healthy work-life balance, emphasizing DEI, mental health, and collaboration. 2. Although there is a rigid hierarchy, managers do not exploit their power, creating the feeling of equality. 3. Interesting initiatives for data scientists, working on state-of-the-art AI with lots of high-quality data.
Cons
1. A massive bureaucratic machine that slows down collaboration between teams. 2. As one of the few companies that have survived since the 19th century, Elsevier has a robust and established business model. Although this provides unprecedented stability, with many of my co-workers being lifelong Elsevier employees (20 to 40-year careers), this makes the company pretty rigid regarding innovation. Single-digit percentages of POCs get to production, with hundreds of data scientists working on new ideas.
