deliveroo - Data Science Manager
Requirements
• Experience line managing data scientists and supporting their career development • A strong background as a senior individual contributor, with hands-on experience in experimentation, causal inference or applied machine learning • Proven ability to identify high-impact opportunities and turn insights into clear strategy and execution • Confidence working with senior stakeholders and explaining complex technical concepts to non-technical audiences • Comfort operating in fast-moving, ambiguous environments where prioritisation and judgement matter as much as technical skill
Responsibilities
• You’ll own the analytical direction and measurable impact of a product or business area, while leading and developing a high-performing team of data scientists or machine learning engineers. • Our Data Science Managers work across a range of consumer, product and commercial areas. Depending on the team you join, your work could focus on areas such as customer retention and loyalty, pricing and promotions, discovery and personalisation, or customer acquisition and engagement. • Across all roles, you’ll lead and develop your team, set the analytical direction for your area and decide which problems are worth solving. You’ll ensure data science work translates into better product and commercial decisions, not just analysis. • You’ll remain hands-on while managing a team, partnering with Product, Engineering, Ops, Marketing and Finance as a thought partner. You’ll set the bar for analytical rigour, prioritisation and impact across noisy metrics, real trade-offs and strong stakeholder opinions.
Benefits
• At Deliveroo, you’ll work on real-world problems at global scale, across a three-sided marketplace that is constantly evolving. • We’re food lovers, problem solvers, community organisers and more, united by a shared drive to make things better. Working here, you can expect: • High autonomy to shape strategy and deliver meaningful impact • Support to learn and grow through L&D programmes, mentoring and peer learning • A strong focus on wellbeing, with benefits that vary by country • A place to belong, with a diverse global workforce and active employee communities • DIVERSITY, EQUITY AND INCLUSION
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