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SeniorHybridLondon

Data Science Manager

D
Deliveroo
Уровень
Senior
Формат
Hybrid
О роли

Описание вакансии

About the company

Join us in our mission to transform the way people shop and eat, where impact, innovation and growth drive everything we do. Our Data Science organisation sits at the heart of Deliveroo, powering decision-making across product, commercial and operational teams through experimentation, causal inference and applied machine learning.

Responsibilities
  • Own the analytical direction and measurable impact of a defined area within Merchants, while leading and developing a team of approximately four to seven data scientists.
  • Help shape growth, build a high-performing team and bring structure to a fast-moving and ambiguous environment.
  • Depending on the final scope, your team may work across areas such as: merchant acquisition and onboarding, including identifying the most valuable restaurants, grocers and retailers to partner with; improving models used to understand restaurant, grocery and retail supply; merchant order management and reducing defects such as missing items, inaccurate orders, menu issues and rider waiting time; merchant account management, churn and retention; self-service tools, automated communications and partner support.
  • Identify high-value problems, guide the team’s analytical approach and ensure the work drives clear product, operational or commercial decisions.
  • Partner closely with senior stakeholders across Product, Engineering, Strategy, Operations and Commercial to shape priorities, make trade-offs and focus on the highest-impact areas.
  • Maintain high analytical standards, delegate effectively and support team development through coaching and feedback.
Requirements
  • Experience line managing data scientists and developing high-performing teams.
  • A strong background as a senior data science individual contributor.
  • Expertise in experimentation, causal inference or applied machine learning.
  • The ability to guide technical work and translate data science into product, operational or commercial decisions.
  • Strong stakeholder management skills and confidence working with senior leaders.
  • The ability to bring structure to ambiguity, prioritise effectively and shape a clear roadmap.
  • Experience working with merchants, marketplaces, restaurants, grocery, retail or B2B products would be valuable, but is not essential.
Conditions
  • This role is based in London and sits within the wider Merchants Data Science team.
  • You’ll report to a Senior Data Science Manager and partner closely with Product, Engineering, Strategy, Operations and Commercial teams.
  • This is a hands-on management role with meaningful technical involvement.
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