Peter Reeves

Data & AI Lead

  • Data Science and Analytics
  • AI Tooling and Augmentation
  • Carbon Reporting
  • FMCG
  • Professional Services

Experience

Pete is a data scientist with a decade of experience turning complex data into decisions, the last 4 of them in sustainability. He started out in marine biology, where analysing large survey datasets showed him what the right analytical tools could do. Roles at Foodsteps, Accenture, Red Bull and in the music industry followed.

As Data and AI Lead, Pete builds the technology layer underneath Seismic’s embedded sustainability teams. The approach is augmentation, not automation: AI takes on the repeatable parts, a human who understands the work signs off before anything reaches a client, and the time freed up goes back into the judgement calls that need a consultant.

His working thesis is that compliance reporting will be commoditised by AI, and that the value sits in the advisory judgement layer above it. The Seismic change he wants to see is sustainability measurement that actually feeds business decisions, rather than reporting for its own sake.

Credentials

MSci in Marine Biology, University of Southampton

Postgraduate Diploma in Sustainable Supply Chain Management (Distinction), University of Cambridge

Data Science (Distinction), General Assembly

Former Senior Technical Lead at Foodsteps and ESG Consultant at Accenture

Speaker experience

He has regularly presented at Red Bull’s global Data and AI Summit, and at international industry conferences.

Internally he leads Seismic’s company-wide AI sessions, covering how the tools work in practice and where human judgement stays in the loop.

Highlights

Built the AI and data layer behind Seismic’s reporting, disclosure and B Corp service lines.

Hands on experience building a global ESG data strategy for a top-tier law firm, aligning emissions data to GHG.

Delivered €5 million in logistics savings across nine markets at Red Bull while cutting associated emissions