Depop
Product Data Scientist

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Company Description
Depop 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.com.
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.
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 adjustments@depop.com.
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I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
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Graduate Consultant — 2026 Scheme
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StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Job Description
We’re looking for a Product Data Scientist to join our Insights team to support our Shipping Team. You’ll partner closely with product, operations, engineering, and machine learning to deliver insights, drive experimentation, and shape how every item moves from seller to buyer.
This role sits at the intersection of technical depth and strategic impact. You’ll dive into data, pipelines, and experimentation frameworks whilst helping shape shipping strategy, product direction, and commercial outcomes.
What You’ll Do
- Influence product and business strategy Shipping is full of big, open-ended problems. You’ll pin down the right question, then work with the team to shape an answer they can act on. You’ll help to inform our shipping strategy by connecting your analyses to broader company goals, helping the product team understand trade-offs, challenging assumptions, and driving evidence-based decision-making.
- Own analytics for Shipping Be the go-to data scientist for the Shipping team - deeply understanding buyer and seller behavior, carrier and label economics, and the end-to-end delivery experience, measuring performance, and finding opportunities to improve outcomes.
- Design and help evaluate experiments Define hypotheses, monitor A/B tests, and conduct post-experiment analyses. Provide clear recommendations on rollouts or iterations.
- Enable self-serve data-driven decision-making Collaborate with product, platform, and data teams to ensure scalable, accurate datasets. Build dashboards and reporting that drive awareness and actionable insights.
What We’re Looking For
- Strong SQL skills and experience querying large, complex datasets
- Strategic thinker, comfortable structuring a nebulous problem statement and working it through to a clear recommendation
- Working knowledge of Python
- Familiarity with ETL workflows and debugging data issues
- Proven experience with A/B testing design and interpretation
- Hands-on experience with visualization tools (Looker, Tableau, or similar)
- Excellent communication skills, able to explain complex topics clearly and persuasively
- Commercial mindset with the ability to balance user and business needs
- Strong ownership, highly organized, and proactive
- Comfortable working across ambiguity and fast-changing environments


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Bonus Points
- Experience in C2C marketplaces or mobile-first consumer products
- Experience in shipping, logistics, or marketplace unit economics
- Experience working with machine learning teams or embedding data science in ML-powered product features
Additional Information
Health + Mental Wellbeing
- 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
Work/Life Balance
- 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
Family Life
- For birth parent: 20 weeks of paid parental leave for full-time regular employees
- For non-birth parents: 12 weeks of paid parental leave for full-time regular employees
- IVF leave, shared parental leave, and paid emergency parent/carer leave
Learn + Grow
- Twice-yearly development chats and yearly performance reviews
- Learning budget
- Upskilling our employees with company-wide training workshops, materials, and resources
Your Future
- Life Insurance (financial compensation of 3x your salary)
- Pension matching up to 6% of full base salary with Aviva
Depop Extras
- In-office Depop Shop (that’s free!) and a packing station with free delivery.
- Special milestones are celebrated with gifts and rewards!
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