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 behaviour, 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 visualisation 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 organised, and proactive
- Comfortable working across ambiguity and fast-changing environments
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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