Full TimeENEurope
We’re ASOS, the online retailer for fashion lovers all around the world.
We exist to give our customers the confidence to be whoever they want to be, and that goes for our people too. At ASOS, you’re free to be your true self without judgement, and channel your creativity into a platform used by millions.
Everyone needs some help showing up as their best self. We're Disability Confident Committed - Let our Talent team know if you need any adjustments throughout the process in whatever way works best for you.
We’re looking for an Applied Scientist to join a Customer & Marketing‑focused machine learning team, working on problems that directly shape how ASOS acquires, engages, and retains customers.
In this role, you’ll apply statistical and machine learning techniques to optimise marketing strategy and customer experience - from understanding what drives customer behaviour to evaluating the true impact of marketing activity.
You’ll work with rich, large-scale customer and behavioural datasets, designing models and experiments that inform high‑stakes decisions across the business. These include areas like attribution, incrementality, and marketing mix modelling, where the focus is not just prediction, but causal understanding and measurable business impact.
This is a highly applied role - your work will move beyond analysis into production‑ready solutions, helping the business make better decisions with confidence. You’ll partner closely with engineers, product managers, and stakeholders to ensure your models are robust, scalable, and embedded into real workflows.
You’ll also contribute to a growing experimentation culture at ASOS, where decisions are grounded in data and rigorously tested - whether through A/B testing, causal inference frameworks, or econometric modelling approaches.
What you'll be doing
About You
We’re keen to hear from Applied Scientists or Data Scientists who are curious, thoughtful about their work, and enjoy collaborating with others.
You don’t need to meet every requirement below to apply if the role sounds interesting and aligns with your experience or career goals, we’d encourage you to apply.
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