Senior Machine Learning Scientist

Aug 31, 2023

London, United Kingdom

Company Description

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.

Job Description

About the Role

Our data science team is highly innovative, and for us, innovation matters. As a Senior Machine Learning Scientist, you will be working in a cross-functional, highly diverse platform and will be creating new and improving internal and external facing data products.

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.

What You’ll Be Doing

You will be driving the implementation and scale-up of algorithms for measurable impact across the business. You will set up and conduct large-scale experiments to test hypotheses and drive product development.

You will be keeping up to date 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.

You will be continually developing and improving our code and technology, taking an active role in the conception of brand-new features for our millions of global customers. You will take part in regular Tech Develops days to learn new things, take part in internal and external hackathons, and share your knowledge and help drive improvements in engineering.

You will be mentoring and coaching junior members of the team, supporting their technical progress. As well as supporting our culture by championing Diversity, Equity & Inclusion strategies. 


Who We’d Like to Meet

You are an experienced machine learning scientist, with experience in using machine learning methods to solve problems involving complex data, for example image, click streams, text, video, speech, and time.

Ideally, you will have some knowledge of the dynamic retail pricing optimization domain, applied experience with reinforcement learning, and other relevant applied ML applications.

You will have some knowledge or experience of working in retail, marketing, or the ecommerce industry.

You thrive in working in a cross-functional platform, including scientists, engineers, and non-technical stakeholders. You are approachable, collaborative and you actively nurture a diverse and inclusive workplace.

You are comfortable working in a Python data science tech stack, for example pandas, NumPy, Dask, scikit-learn, Keras, PySpark, PyTorch. You also have experience accessing and combing data from multiple sources and building data pipelines, including a good knowledge of SQL.

You understand software development lifecycles and engineering practices, alongside ML. You have a solid understanding of statistics, covering hypothesis testing, regressions, random variables, and inference.

You will be comfortable providing technical leadership, mentoring, and coaching to a motivated development team. You will contribute to wider engineering initiatives across ASOS.

Additional Information

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.

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