Senior Data Science Manager

Requirements

• Proven experience leading data science teams in B2C growth environments, ideally within pricing, value or monetisation domains
• Experience managing managers, with a track record of building strong leadership layers and scaling impact through others
• Deep hands-on background in experimentation, causal inference and decision making under real world constraints
• Ability to own complex, cross-team strategy and influence senior stakeholders across Product, Engineering, and Commercial functions
• Strong judgment in ambiguous environments, with comfort making trade-offs where data is noisy and incentives can conflict

What You'll Be Doing

• Lead pricing elasticity analysis, fee structures, and long-term pricing strategy, balancing revenue growth with retention and customer perception
• Shape the value proposition of offerings such as Plus (our subscriber offering), aligning pricing, benefits, and incentives to customer expectations
• Provide leadership across Pricing, Promotions, and Loyalty teams, ensuring consistent experimentation standards and aligned growth strategy
• Set the bar for rigorous experimentation and causal inference, enabling confident trade-offs between growth and profitability
• Partner closely with Product, Engineering, Marketing, and Commercial leaders to influence roadmaps and pricing-related product decisions
• Oversee day-to-day optimization across teams to hit growth targets without eroding long-term value
• Lead, develop, and support senior individual contributors and managers, owning succession, team design, and long-term capability building

Perks and Benefits

• High ownership of strategy and impact at the company level
• The opportunity to lead and shape a multi-team data science organization
• Support to grow as a senior leader through coaching, peer learning, and development programs
• A strong focus on wellbeing and belonging, with benefits that vary by country