Requirements

• Strong track record applying ML / data science to real-world commercial problems, ideally with depth in forecasting, optimisation, or supply-chain / pricing.
• The instinct to own outcomes, not tasks — you take an ambiguous problem and drive it to a result rather than waiting to be told the next step.
• Fluent programming (Python and SQL) and the ability to pick up whatever a problem demands.
• Excellent communication — you can take a customer executive from confusion to confidence, and explain a complex model to a non-technical room.
• Comfort with ambiguity, direct customer contact, and the pace of a team that ships.

Nice to Haves

• Bonus: experience with agentic / LLM-based systems, or building ML in production.

What You'll Be Doing

• Own customer engagements end-to-end — frame the problem, build the solution, and drive it to real commercial impact, working directly alongside customer teams.
• Apply and adapt frontier ML, forecasting, and optimisation techniques — and increasingly agentic AI — to problems that don’t have a textbook answer.
• Turn what works on the ground into product direction, so each engagement makes our core capability better for the next customer.
• Operate with genuine autonomy across a wide range of stakeholders — from data scientists to customer executives — and make the judgment calls that get things shipped.
• Stay at the edge of what’s possible in applied AI, and bring it back to the team.

Perks and Benefits

• We’re looking for builders — smart, switched-on people who want to be handed a genuinely hard real-world challenge and go to town on it.
• If you want to work at the frontier of applied AI, own something that matters, and see your work land with real customers and shape a product, this is for you.
• We know that experience comes in all shapes and sizes—and passion can’t be learned.