National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Product Data Scientist

Depop
London
3 months ago
Applications closed

Related Jobs

View all jobs

Product Data Scientist London

Product Data Scientist

Product Data Scientist (LND)

Product Data Scientist

Senior Data Scientist (Product) 12 Month FTC

▷ [3 Days Left] Senior Data Scientist (Product) 12 Month FTC...

Company Description

Depop is the community-powered circular fashion marketplace where anyone can buy, sell and discover desirable secondhand fashion. With a community of over 35 million users, Depop is on a mission to make fashion circular, redefining fashion consumption. Founded in 2011, the company is headquartered in London, with offices in New York and Manchester, and in 2021 became a wholly-owned subsidiary of Etsy. Find out more atwww.depop.com.

Our mission is to create an inclusive environment where everyone is welcome, no matter who they are or where they're from. 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 any protected status. We're continuously evolving our recruitment processes to ensure fairness and are open to accommodating any needs you might have.

If 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.

We are looking for a Product Data Scientist to become an integral member of our Insights team.

The product analytics team works closely with product stakeholders to support all aspects of the Depop product. This includes curating and driving inventory, helping our buyers find what they are looking for, ensuring all of our users are getting good value, creating fresh and exciting content and growing the platform. We also work with many other parts of the business, for example, the data team, to ensure that data being produced is accurate and useful for analysis, or the machine learning team to assess how well their work is helping our users navigate the Depop experience.

You will work with a product analytics lead to support a set of product squads on discovery work, experimentation and measurement, using analytical methodology and insights. You will also work with your Insights team to gain knowledge of the wider Depop business and an understanding of how your product area fits into the overall ecosystem. This role will therefore require you to develop a deep understanding of a specific area and also a high level view across the business, enabling you to guide your stakeholders to make robust, data-driven business decisions.

Responsibilities

  • Supporting the product teams on analytical requests: you will work closely with the product teams to help them identify areas of opportunity, measure effect sizes through experimentation, and track key metrics through dashboards and visualisations.
  • Strategic thinking: you will be expected to bring a strategic view to all of your work, building deep strategic thinking to product improvements while also understanding how your remit serves the goals of the overall product organisation.

Requirements

  • Proficiency in SQL and the ability to work with large datasets.
  • Experience with visualisation tools like Looker or Tableau.
  • Understanding of Python and some command over ETL scripts.
  • An analytical mind with good problem-solving skills and a love of numbers.
  • Commercial awareness and a proactive attitude to make a difference and drive impact.
  • A hunger to learn, natural curiosity and a keen eye for detail.
  • A strong sense of ownership and highly organised nature.

Bonus points for:

  • Experience working within a P2P marketplace or consumer-facing mobile-first products.
  • Experience with experimentation and A/B testing.

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 annual leave with option to carry over up to 5 days.
  • 1 company-wide day off per quarter.
  • Impact hours: Up to 2 days additional paid leave per year for volunteering.
  • Fully paid 4 week sabbatical after completion of 5 years of consecutive service with Depop.
  • Flexible Working: MyMode hybrid-working model with Flex, Office Based, and Remote options *role dependent.
  • All offices are dog-friendly.
  • Ability to work abroad for 4 weeks per year in UK tax treaty countries.

Family Life:

  • 18 weeks of paid parental leave for full-time regular employees.
  • IVF leave, shared parental leave, and paid emergency parent/carer leave.

Learn + Grow:

  • Budgets for conferences, learning subscriptions, and more.
  • Mentorship and programmes to upskill employees.

Your Future:

  • Life Insurance (financial compensation of 3x your salary).
  • Pension matching up to 6% of qualifying earnings.

Depop Extras:

  • Employees enjoy free shipping on their Depop sales within the UK.
  • Special milestones are celebrated with gifts and rewards!

#J-18808-Ljbffr

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Data Science Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide—refreshed every quarter—so you always know who’s really expanding their data‑science teams. Budgets for predictive analytics, GenAI pilots & real‑time decision engines keep climbing in 2025. The UK’s National AI Strategy, tax relief for R&D & a sharp rise in cloud adoption mean employers need applied scientists, ML engineers, experiment designers, causal‑inference specialists & analytics leaders—right now. Below you’ll find 50 organisations that have advertised UK‑based data‑science vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the kind of employer—& culture—that suits you. For every company you’ll see: Main UK hub Example live or recent vacancy Why it’s worth a look (tech stack, mission, culture) Search any employer on DataScience‑Jobs.co.uk to view current ads, or set up a free alert so fresh openings land straight in your inbox.

Return-to-Work Pathways: Relaunch Your Data Science Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like stepping into a whole new world—especially in a dynamic field like data science. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s data science sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve gained and provide mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for data science talent in the UK Leverage your organisational, communication and analytical skills in data science roles Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to data science Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to data science Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as a data analyst, machine learning engineer, data visualisation specialist or data science manager, this article will map out the steps and resources you need to reignite your data science career.

LinkedIn Profile Checklist for Data Science Jobs: 10 Tweaks to Elevate Recruiter Engagement

Data science recruiters often sift through dozens of profiles to find candidates skilled in Python, machine learning, statistical modelling and data visualisation—sometimes before roles even open. A generic LinkedIn profile won’t suffice in this data-driven era. This step-by-step LinkedIn for data science jobs checklist outlines ten targeted tweaks to elevate recruiter engagement. Whether you’re an aspiring junior data scientist, a specialist in MLOps, or a seasoned analytics leader, these optimisations will sharpen your profile’s search relevance and demonstrate your analytical impact.