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.
But how are we showing up? We’re proud members of Inclusive Companies, are Disability Confident Committed and have signed the Business in the Community Race at Work Charter and we placed 8th in the Inclusive Top 50 Companies Employer list.
Everyone needs some help showing up as their best self. Let our Talent team know if you need any adjustments throughout the process in whatever way works best for you.
Job Description
The Senior Data Scientist in Strategic Projects at ASOS Supply Chain drives business value by applying advanced analytics, predictive modelling, and or operations research to optimise supply chain processes—including inbound routing, inventory management, warehousing, and last‑mile delivery & returns.
The role requires clear communication of insights to diverse stakeholders, collaboration across teams, and a strong academic or applied background. We are looking for someone who is adaptable, entrepreneurial, and committed to continuous improvement, integrity, and inclusivity. You'll also have the chance to mentor others and deliver actionable insights for strategic decisions.
Details
- Analyse supply chain data to identify inefficiencies and opportunities for improvement in inbound operations, warehouse operations, and delivery & returns.
- Develop and deploy predictive and optimisation models delivering measurable business outcomes (cost savings, efficiency gains, mean shift improvements).
- Collaborate with supply chain, technical, and senior management teams to present findings and drive adoption of solutions.
- Evangelise data quality and governance standards, identifying and resolving data quality gaps.
- Mentor data analysts within Supply Chain and contribute to the broader data science community within ASOS.
- DE&I: Supporting our culture by championing Diversity, Equity & Inclusion strategies.
We believe being together in person helps us move faster, connect more deeply, and achieve more as a team. That’s why our approach to working together includes spending at least 3 days a week in the office. It’s a rhythm that speeds up decision‑making, helps ASOSers learn from each other more quickly, and builds the kind of culture where people can grow, create, and succeed.
Qualifications
- Advanced analytics, predictive modelling, and or operations research expertise.
- Strong Python and SQL proficiency; adaptable to new tools and domains.
- Proven ability to optimise real‑world processes and deliver measurable business value insights.
- Strong academic background or equivalent applied experience.
- Strategic mindset with strong problem‑solving skills.
- Adaptable and comfortable working on high‑impact, ambiguous projects within a fast‑paced environment.
- Entrepreneurial and excited by the domain expanse, i.e. end‑to‑end supply chain.
- Ability to translate complex technical concepts into clear business language that can be tailored to the audience.
- Excellent communication and stakeholder management abilities including effective storytelling with data.
- Commitment to data quality, governance, and integrity with a bias for the right action.
- Data driven but anecdote aware. Not confined to the perfect result.
Benefits
- 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
Seniority level
Mid‑Senior level
Employment type
Full‑time
Job function
Supply Chain
Industries
Retail
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Location: London, England, United Kingdom
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