Senior Machine Learning Scientist

Company DescriptionDepop is a peer-to-peer circular fashion marketplace where anyone can buy, sell and discover secondhand fashion. Our mission is simple: to make fashion circular by making secondhand as exciting and rewarding as buying new.
Founded in 2011, Depop’s diverse community has helped move resale into the mainstream, where buying secondhand is no longer an alternative, but how people of different ages now engage with fashion. Today, more than 56 million registered users come to Depop to find great value, express their own personal style and give clothes a longer life. We believe that everything you want already exists, and our role is to help people discover it.
Powered by a team of over 500 people, our company is headquartered in London, with offices in New York. In 2021, Depop became a wholly-owned subsidiary of Etsy
- the global marketplace for unique and creative goods
- and continues to operate as a standalone company. For more information, visit www.depop.comWe aim to create an inclusive environment where everyone is welcome, no matter who they are or where they’re from. Just as our platform connects people globally, we believe our workplace should reflect the diversity of the communities we serve. We thrive on the power of different perspectives and experiences, knowing they drive innovation and bring us closer to our users.
We’re proud to be an equal opportunity employer, providing employment opportunities without regard to age, ethnicity, religion or belief, gender identity, sex, sexual orientation, disability, pregnancy or maternity, marriage and civil partnership, or any other protected status. We’re continuously evolving our recruitment processes to ensure fairness and are open to accommodating any needs you might have.
AI Disclosure: We use AI tools (Google Gemini) to help our team source and review applications for roles with a high volume of applications. These tools assist our recruiters in identifying great talent but do not replace human decision-making. At Depop, every hiring decision is made by a human.
If, due to a disability, you need adjustments to complete the application, please let us know by sending an email with your name, the role to which you would like to apply, and the type of support you need to complete the application to is looking for a Senior Machine Learning Scientist to join our Pricing team in the UK. You will work alongside a cross-functional team of Product Managers, Engineers, Analysts and fellow Machine Learning Scientists, playing a key role in building the machine learning models that power Depop’s pricing recommendations and our shipping pricing and optimisation strategies.
As a senior member of the team, you will be expected to take ownership of high-impact projects, lead technical direction on core modelling efforts, and mentor others while working across multiple domains and stakeholders.
ResponsibilitiesYou will:Research, design, and deliver robust machine learning solutions to tackle problems across the pricing and shipping space, spanning both prediction and decision-making under business constraintsLead efforts to productionise and scale these models, partnering with ML and backend engineers so they run reliably on our systemsIdentify and define requirements from multiple stakeholders across Pricing and Shipping, and lead the design of machine learning solutions to solve applied business problemsSet up and conduct large-scale experiments to test hypotheses and guide model and product improvements, ensuring statistical rigour and real-world applicabilityKeep up to date with applied research, contribute to internal knowledge sharing and ML best practices, and apply new techniques for prediction, causal inference, and optimisationParticipate in team ceremonies, such as technical whiteboarding sessions, planning, and roadmappingCommunicate technical findings clearly and confidently to both technical and non-technical audiencesQualificationsSkills and ExperienceSignificant experience working as a Machine Learning Scientist, with a proven track record of delivering and scaling models that solve complex, real-world problemsDeep understanding of machine learning concepts and experience applying them in production settings, using frameworks such as PyTorch, TensorFlow, or gradient boosting librariesExperience with causal inference, uplift modelling, or optimisation under constraints, and comfort reasoning about decisions rather than predictions aloneStrong Python skills, with the ability to write clean, modular, production-grade code, and a solid understanding of data engineering and MLOps principlesAbility to lead end-to-end ML projects, work independently in ambiguous problem spaces, and mentor junior team membersStrong collaboration and communication skills, with experience aligning technical approaches with cross-functional teams and stakeholdersBonus PointsExperience with pricing models, promotions or incentive allocation, or revenue optimisationExperien