Senior Machine Learning Scientist

Job Title: Senior Machine Learning Scientist Company: Depop Job Category: Machine Learning Roles & Responsibilities: 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. 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 adjustments@depop.com. Role -------- Depop 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. Responsibilities -------------------- * PMI and cash plan healthcare access with Bupa * Subsidised counselling and coaching with Self Space * Cycle to Work scheme with options from Evans or the Green Commute Initiative * Employee Assistance Programme (EAP) for 24/7 confidential support * Mental Health First Aiders across the business for support and signposting * 25 days of annual leave with the option to carry over up to 5 days * Impact hours: Up to 2 days of additional paid leave per year for volunteering * Fully paid 4\-week sabbatical after completion of 5 years of consecutive service with Depop, to give you a chance to recharge or do something you love. * Flexible Working: MyMode hybrid\-working model with Flex, Office\-Based, and Remote options \role\-dependent* * All offices are dog\-friendly * Twice\-yearly development chats and yearly performance reviews * Learning budget * Upskilling our employees with company\-wide training workshops, materials and resources Work Location: London, ENG, UK Availability: Full time

We 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. Qualifications ------------------ Skills and Experience * Experience with pricing models, promotions or incentive allocation, or revenue optimisation * Experience with experiment design and conducting A/B tests * Experience with bandits, reinforcement learning, or other explore\-exploit approaches * Experience with Databricks and PySpark * Experience working with AWS or another cloud platform (GCP/Azure) * Life Insurance (financial compensation of 3x your salary) * Pension matching up to 6% of full base salary with Aviva Key Skills: Machine Learning, Python, TensorFlow, PyTorch Salary: Not disclosed