Senior Product Scientist in London

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.

At ASOS, we’re proud to be a global fashion destination serving over 23 million active customers across more than 100 markets with 2.5 billion visits annually. Our Tech team is at the heart of everything we do, powering the digital experiences that make ASOS a leader in online fashion retail. We operate as a product-led organisation, where cross-functional teams are empowered to solve real customer problems through innovation, experimentation, and data-driven decision-making. With a strong focus on scalability, personalisation, and cutting-edge technology, we’re building the future of fashion commerce.

A unique opportunity to be part of a key strategic programme at ASOS. You will shape new initiatives and enable capabilities to support our Digital Product team focused on building innovative customer-facing experiences. You will be aligned to business stakeholders across the company to help define key success metrics, design and analyse experiments, perform deep customer and cohort analyses, and use modelling techniques where it enhances understanding of customer behaviour or performance trends.

The ideal candidate will have a strong technical background and experience solving tough problems with large datasets. You will be a highly intelligent self-starter, able to work independently with a strong attention to detail.

• Own the definition and evolution of core product KPIs, partnering with Product Managers to shape roadmap priorities and evaluate long-term impact.
• Conducting funnel and drop-off analysis to identify friction points in the customer journey and areas for optimisation.
• Inform the design and analysis of A/B tests and experiments to measure the impact of new product features or experiences on conversion, engagement, and retention.
• Apply statistical modelling techniques to uncover behavioural patterns, identify key drivers of performance, and build forecasts that inform product strategy and decision-making.
• Using data to optimise conversion rates, user engagement, and customer satisfaction across the ASOS platform.
• Translating data into clear, actionable insights that inform product roadmaps, design decisions, and feature prioritisation.
• Building dashboards, reports, and visualisations to communicate trends and results to both technical and non-technical stakeholders.
• Act as a thought partner to Product leadership, proactively identifying opportunities to improve customer experience and drive commercial outcomes.
• Championing a data-informed culture, ensuring that every decision across Product is supported by evidence and measurable impact.

Qualifications:

• Strong quantitative skills with a background in maths, statistics or a STEM‑related subject.
• Strong proficiency in SQL, Python (pandas, NumPy), and data visualisation tools (e.g., Tableau, Power BI) to build scalable analytics solutions.
• Experience building simple statistical models to uncover behavioural patterns, identify key drivers, and generate forecasts that support data‑informed product decisions.
• Experience designing and analysing experiments and A/B tests, with a solid grasp of statistical methodologies (e.g., regression, confidence intervals, hypothesis testing).
• A passion for customer‑centric problem solving, with curiosity to uncover friction points and opportunities for innovation.
• Proven ability to define and monitor product success metrics, translating data into actionable insights that shape product strategy and roadmap decisions.
• Familiarity with eCommerce platforms, experimentation tools (e.g., Optimizely), and user journey analytics (e.g. Adobe, Mixpanel, Amplitude, etc.).
• Strong written and verbal communication skills, with the ability to present insights to senior leadership and drive strategic alignment.

An added bonus if you have:

• Experience working within e‑commerce or digital product environments.
• A basic understanding of data engineering workflows and analytics pipelines (Databricks, dbt, Apache Spark).

Our approach to working together means that ASOSers are required to be in the office at least three days per week. This enables stronger collaboration, faster decision‑making, and a strong team culture, while still offering the flexibility to work remotely when appropriate.

Additional Information:

• Employee discount (hello ASOS discount!)
• Employee sample sales
• 25 days paid annual leave + an extra celebration day for a special moment
• Discretionary bonus scheme
• Private medical care scheme
• Flexible benefits allowance - which you can choose to take as extra cash, or use towards other benefits
• Opportunity for personalised learning and in‑the‑moment experiences that enable you to thrive and excel in your role.