Chris Watkins, now leading the core analytics function at Google DeepMind, started his career as an associate consultant at Bain. Here are three learnings from how his Bain experience laid the groundwork for his success in the fast-paced world of AI.

1. Build strong foundations in analytical thinking

Bain’s structured approach to problem-solving and business modeling gave Chris a solid foundation in AI. “I learned the ropes, especially as it comes to the analytics side of my role,” he recalls, referring to his work in private equity at Bain.

These skills—breaking down complex problems and forming hypothesis-led narratives—became essential as he scaled DeepMind’s operations. Bain’s approach to modeling, data analysis, and strategic communication gave him a foundation that continues to shape his leadership at the forefront of AI research.

2. Network with industry experts

Chris credits Bain’s strong alumni network as a vital resource in his career progression. He regularly attends Bain London alumni events, exchanging insights with peers and exploring opportunities in AI and tech.

“The Bain network has been an incredible resource,” he says, emphasizing the valuable career advice and support from fellow Bain alumni. For those interested in AI, leveraging Bain’s network can be a key step into breaking into this fast-moving sector.  

3. Stay curious and adaptable

Chris advises anyone interested in AI to lean into curiosity. AI is still evolving, and the field’s unpredictable nature demands adaptability. At Bain, he learned to embrace change and stay ahead of the curve—an ethos that has helped him navigate AI’s dynamic landscape.

His advice? Cultivate a technical mindset, but stay open to experimentation. This balance of strategy and curiosity is key to thriving in tech.

Chris Watkins’ journey from Bain to Google DeepMind shows how core consulting skills—analytics, adaptability, and strategic thinking—can carve a successful path into the exciting and fast-evolving field of AI.

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