Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across…
Machine Learning Engineer based in London (hybrid, 3 days in office) building ranking and personalisation models for Deliveroo's grocery and retail verticals, including homepage recommendations and notification targeting, using Python and productionised ML systems.
A Senior Data Scientist joins Deliveroo's London team on a hybrid basis (3 days in the office) to drive data-driven decision-making across its three-sided marketplace. Day-to-day work includes owning end-to-end projects, designing experiments and causal inference, translating stakeholder needs into analytics problems, and influencing roadmaps using Python/R, SQL, and AI tools.
Senior Data Scientist (Economist) at Deliveroo uses experimental and observational data, causal inference, and machine learning to answer business questions about markets, rider behavior, and restaurant partnerships. Day-to-day work involves analysis with R, Python, and SQL to inform growth and profitability decisions.
Senior Data Scientist in Deliveroo's London analytics team (hybrid, 3 days in office), using experimentation and causal inference to guide product, commercial, and operations decisions. Works with R/Python, SQL, and AI tools to design experiments and translate business problems into data insights.
Product Manager for Deliveroo's Homepage team, shaping how millions of customers discover restaurants, grocery, and retail across DoorDash, Wolt, and Deliveroo. Day-to-day involves building consumer-facing discovery features and tackling ranking, personalisation, and AI/ML problems across three brands and dozens of markets.
Leads a London-based team of Analytics Engineers, owning data pipelines, models, and metrics for a business domain within Deliveroo's three-sided marketplace. Day-to-day work centers on SQL, cloud data warehousing, transformation tooling, data modelling, and data quality in a hybrid (3 days on-site) role.
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