Senior Data Science Manager

📋 Description

• Lead pricing elasticity analysis and long-term pricing strategy.
• Shape Plus pricing and incentives to meet customer expectations.
• Lead Pricing, Promotions and Loyalty teams; align experiments.
• Set rigorous experimentation and causal inference standards.
• Partner with Product, Engineering, Marketing and Commercial on pricing roadmaps.
• Oversee day-to-day optimisation across teams to hit growth targets.

🎯 Requirements

• Led data science teams in B2C growth, pricing, value or monetisation.
• Experience managing managers and building leadership layers.
• Hands-on experience in experimentation, causal inference and real-world decisions.
• Own cross-team strategy; influence senior stakeholders across Product, Engineering, Commercial.
• Strong judgement in ambiguity; trade-offs with noisy data and conflicting incentives.

🎁 Benefits

• High ownership of strategy and impact at company-level.
• Lead and shape a multi-team data science organisation.
• Support to grow as a senior leader through coaching and development programmes.
• Wellbeing and belonging, with country-specific benefits.
• Commitment to diversity, equity and inclusion.