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We're ASOS. We blend our flair for fashion with our love of cutting- edge technology, but more importantly were interested in how we can bring the best out of you.

We exist to give people 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 judgment, and channel your creativity into a platform used by millions.

Through our Fashion with Integrity strategy we are driving diversity, equity and inclusion across every aspect of ASOS and ensuring every ASOSer can be their authentic self at work. We want our people to be whoever they want to be, because we believe people who bring their best selves to work, do their best work.

About the Role

We are looking for a Machine Learning Scientist to join our team and play a key role in helping ASOS provide the best shopping experience to our millions of customers. The role offers broad exposure to ASOS, requiring close collaboration with retail, marketing and technology divisions. You will be part of a highly innovative AI platform working alongside engineers and fellow scientists to solve and productionise interesting and difficult problems and leveraging cutting edge technology. At ASOS, as an online only retailer, we have unique datasets - transactions and click streams for millions of customers and photos, videos, and text descriptions of hundreds of thousands of products.

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.

What You’ll Be Doing

• Working in cross functional team, alongside engineers, business analysts and non-technical stakeholders, creating new and improving internal and external facing data products
• Driving the implementation and scale-up of algorithms for measurable impact across the business
• Setting up and conducting large-scale experiments to test hypotheses and drive product development
• Keeping up with relevant state-of-the-art research, taking part in reading groups alongside other scientists, with the opportunity to publish novel prototypes for the business at top conferences
• Supporting our culture by championing Diversity, Equity & Inclusion strategies

Who We’d Like to Meet

We'd love to meet someone with...

• An advanced degree in Computer Science, Physics, Mathematics or a similar quantitative subject - a Ph.D. is a bonus
• Experience in using machine learning methods to solve problems involving complex/high - dimensional data (e.g. image, click - streams, text, video, speech, time series) - This can either be through a distinguished academic career alongside relevant publications, or significant experience solving and productionising models within industry
• An understanding of the retail, marketing, and/or ecommerce industry
• Comfortable working in a Python data science tech stack (e.g. pandas, NumPy, Dask, scikit-learn, Keras, PySpark, PyTorch). Additional knowledge of Scala is desirable
• Experience accessing and combining data from multiple sources and building data pipelines, including a good knowledge of SQL
• Understanding of software development lifecycles and engineering practices (Data pipelines, API workflows, CI/CD deployments) alongside ML (DataOps, MLOps)
• A solid understanding of statistics (hypothesis testing, regressions, random variables, inference)
• The ability to work collaboratively and proactively in a fast-paced environment alongside both scientists, engineers and non-technical stakeholders
• A 'hackers' mentality, comfortable using open source technologies

What’s in it for you?

• Employee discount (hello ASOS discount!)
• ASOS Develops (personal development opportunities across the business)
• Employee sample sales
• Access to a huge range of LinkedIn learning materials
• 25 days paid annual leave + an extra celebration day for a special moment
• Discretionary performance related bonus scheme
• Private medical care scheme
• Flexible benefits allowance - which you can choose to take as extra cash, or use towards other benefits

Our Commitments

We want our people to be whoever they want to be. That’s why we’re committed to creating a truly inclusive culture at ASOS, but how’re we doing it?

We’re proud members of Inclusive Companies, are Disability Confident Committed and have signed the Business in the Community Race at Work Charter. We’ve also recently been placed 8th in the Inclusive Top 50 Companies Employer List too.

We have several employee networks that operate as safe spaces, to help support and celebrate our people, find out more here.

How can we support you to be your best self? Our Talent team will be happy to provide support e.g. if you need additional time to prepare for an assessment or you have requirements for any part of the interview/hiring process - just let us know by email or phone, whatever works best for you. It’s also our policy to interview all candidates with a disability who meet the minimum requirements for roles they have applied to.

If you have any questions about the policies we have in place to support our employees (e.g. our parental leave approach), just let our Talent team know.