Lead end-to-end model delivery at scale from discovery to production.
Collaborate with product and engineering to build real-time fraud prevention solutions.
Provide hands-on technical leadership and knowledge sharing.
Research and integrate ML advances for payer fraud prevention.

🎯 Requirements

Degree in STEM or PhD, or equivalent experience.
Experience with deep learning, graph/sequence models; fintech/fraud a plus.
Translate ML concepts into practical product solutions for non-technical peers.
Own the full lifecycle from analysis to prototyping and live A/B testing.
Lead by example, write clean code, raise the team's technical bar.

🎁 Benefits

Wellbeing: medical cover.
Work Away Scheme: work from anywhere up to 90 days per year.
Hybrid Working: flexible in-office days.
Equity: equity for permanent staff.
Parental leave: tailored leave.

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