Senior Applied Scientist

We are looking for a Senior Applied Scientist, with expertise in deep learning, to join our cross-functional AI Trade Optimisation team. We build algorithms and machine learning systems for pricing, customer targeting, and product understanding. To do so, we are able to leverage unique datasets of transactions and click streams for millions of ASOS customers and hundreds of thousands of products.

What youll be doing:

• You will be part of an agile, cross-functional team to build causal algorithms for the pricing, forecasting and customer targeting space.

• You will personally drive the design and implementation of algorithms that create measurable impact across the business. You will work independently to conduct R&D, lead stakeholder conversations, and conduct large-scale experiments to test hypotheses and drive product development.

• You will write production grade code, and contribute to the continual development and improvement of our codebases and technology, following best practices regarding MLOps.

• You will keep 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 mentoring and coaching junior members of the team, supporting their technical progress

We exist to give our customers the confidence to be whoever they want to be, and that goes for our people too. At ASOS, youre free to be your true self without judgement, and channel your creativity into a platform used by millions.

But how are we showing up? Were 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

About You

• You have professional experience in machine learning and their practical applications in production environments. You are familiar with statistics, regression and ensemble methods, and have particular expertise with deep learning. Expertise and exposure to optimization, causal methods or reinforcement learning are a plus.

• You are comfortable working in Python and familiar with at least one deep learning framework (e.g., PyTorch, TensorFlow). Experience with distributed computing frameworks (e.g., Horovod, DeepSpeed) for training deep learning models is a plus.

• You have a solid understanding of software development lifecycles and engineering practices (including version control, data pipelines, CI/CD), and are able to write production-grade code.

• You are able to work independently to manage projects and deliver prototypes against a timeline. You also have experience managing non-technical business stakeholders and working collaboratively with other machine learning professionals.

• We are keen to speak to people who are comfortable with R&D, and would love to meet someone who has authored publications in top-tier machine learning conferences or journals (e.g. NeurIPS, ICLR, ICML, KDD, CVPR, ICCV, ECCV, ACL, EMNLP)