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- Tasks: Shape innovative customer experiences and analyse data to drive product decisions.
- Company: Join ASOS, a global fashion leader with a vibrant and inclusive culture.
- Benefits: Enjoy employee discounts, flexible benefits, and 25 days of annual leave.
- Why this job: Make a real impact in fashion tech while working with cutting-edge data solutions.
- Qualifications: Strong skills in SQL, Python, and experience with statistical modelling.
- Other info: Collaborative environment with opportunities for personal growth and development.
The predicted salary is between 43200 - 72000 £ per year.
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.
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.
Responsibilities
- Own the definition and evolution of core product KPIs, partnering with Product Managers to shape roadmap priorities and evaluate long-term impact.
- Conduct 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.
- Use data to optimise conversion rates, user engagement, and customer satisfaction across the ASOS platform.
- Translate data into clear, actionable insights that inform product roadmaps, design decisions, and feature prioritisation.
- Build 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.
- Champion 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
- 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.
Senior Data Scientist (Product) in London employer: ASOS.com
Contact Detail:
ASOS.com Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist (Product) in London
✨Tip Number 1
Network like a pro! Reach out to current ASOS employees on LinkedIn, join relevant groups, and attend industry events. Building connections can give us insider info and maybe even a referral!
✨Tip Number 2
Prepare for the interview by practising common data science questions and showcasing your problem-solving skills. We want to demonstrate how our experience aligns with ASOS's focus on innovation and customer-centric solutions.
✨Tip Number 3
Show off our passion for data! During interviews, share specific examples of how we've used data to drive decisions or improve processes. This will resonate with ASOS's commitment to data-informed strategies.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure our application gets noticed. Plus, we can tailor our application to highlight how we fit into ASOS's culture and values.
We think you need these skills to ace Senior Data Scientist (Product) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Scientist role. Highlight your experience with SQL, Python, and any relevant projects that showcase your data-driven decision-making skills. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about eCommerce and how your skills align with our mission at ASOS. Be genuine and let your personality come through – we love authenticity!
Showcase Your Problem-Solving Skills: In your application, don’t just list your skills; demonstrate them! Share specific examples of how you've tackled complex problems using data analysis or statistical modelling. We’re keen to see your thought process and results.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing candidates who take the initiative!
How to prepare for a job interview at ASOS.com
✨Know Your Data Inside Out
As a Senior Data Scientist, you'll need to demonstrate your expertise with large datasets. Brush up on your SQL and Python skills, and be ready to discuss specific projects where you've used these tools to solve complex problems. Prepare examples that showcase your ability to derive actionable insights from data.
✨Understand ASOS's Customer Journey
Familiarise yourself with the customer journey at ASOS. Think about potential friction points and how you would approach optimising them. Be prepared to discuss how you would use data to enhance user engagement and conversion rates, as this will show your customer-centric mindset.
✨A/B Testing Know-How
Since A/B testing is a key part of the role, make sure you can explain the methodologies behind it. Be ready to share your experience designing and analysing experiments, including any statistical models you've built. This will highlight your analytical skills and understanding of product impact.
✨Communicate Like a Pro
Strong communication skills are essential for this role. Practice presenting your insights clearly and concisely, especially to non-technical stakeholders. Think about how you would translate complex data findings into straightforward recommendations that align with ASOS's product strategy.