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Senior Team Lead for Data Science – Courier Pay & Incentives

United Kingdom; Germany; Netherlands, London · Job Posted May 16, 2026

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Job Description

As the Senior Team Lead for Data Science – Courier Pay & Incentives, you will be the strategic leader responsible for maximising the impact of our real-time courier incentive systems on supply quality, earnings fairness, and operational efficiency across our global delivery network.

Job Responsibility

  • Strategic Leadership & Outcome Ownership
  • Team Leadership & People Management
  • Own the Real-Time Pay & Incentives Roadmap
  • Drive Business Impact
  • Business Root Cause Analysis (RCA) & Solution Strategy
  • Stakeholder Communication
  • Real-Time Systems & Model Design
  • Real-Time Incentive Engine Architecture
  • Dynamic Pricing & Surge Modelling
  • Fairness, Consistency & Earnings Transparency
  • Technical Guidance & Design Review
  • MLE Partnership
  • Causal Experimentation at Scale
  • Courier Behavioural Modelling
  • Incentive ROI & Spend Optimisation
  • Insight Generation

Requirements

  • Proven, extensive experience in leadership and people management, with a demonstrated ability to mentor and develop senior Data Scientists in a fast-moving product environment
  • Prior hands-on experience building and deploying ML models in production, ideally within real-time or low-latency systems
  • Strong conceptual grounding in incentive design, dynamic pricing, or labour economics
  • Deep expertise in causal inference and experimentation methodology — A/B testing, switchback experiments, difference-in-differences, and interference-aware designs for marketplace settings
  • Demonstrated ability to diagnose production model performance issues — particularly in real-time systems where feedback loops, distribution shift, and latency constraints interact
  • Experience with geospatial analysis and time-series modelling is strongly preferred
  • Exceptional communication and stakeholder management skills, with the ability to influence both technical peers and non-technical business leaders

Nice to have

Experience with sequential decision-making systems

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