Senior Data Science Manager

📋 Description

• Lead end-to-end pricing and value strategy across growth teams.
• Own analytical and strategic direction of Pricing and Value.
• Manage 8–12 ICs across teams, including a Data Science Manager.
• Partner with Product, Engineering, Marketing and Commercial to shape roadmaps.
• Set rigorous experimentation and causal inference for trade-offs.
• Oversee day-to-day optimization to hit growth while protecting long-term value.

🎯 Requirements

• Proven experience leading data science teams in B2C pricing/value.
• Experience managing managers and scaling impact through others.
• Deep hands-on background in experimentation and causal inference.
• Ability to own cross-team strategy and influence senior stakeholders.
• Strong judgement in ambiguous environments with noisy data.

🎁 Benefits

• High ownership of strategy and company-level impact.
• Lead and shape a multi-team data science organisation.
• Coaching and development programmes to grow as a senior leader.
• Wellbeing and belonging benefits vary by country.