About the company
Deliveroo is transforming the way people shop and eat. 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 the team’s growth, build a high-performing team and bring structure to a fast-moving and ambiguous environment.
- 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.
- Spend meaningful time on technical involvement, getting into the detail and unblocking work, while prioritising people leadership and strategic direction.
- 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.