Senior Product Data Scientist

DEPOP; Greater London; Hybrid; GBP 125,000 - 150,000; Full time

Job summary

A leading online marketplace in Greater London is seeking a Senior Product Data Scientist to join their Insights team. You will lead analytics, influence product strategy through data-driven insights, and collaborate across teams. Key qualifications include strong SQL and Python skills, experience in A/B testing, and the ability to communicate complex concepts clearly. The role offers flexible working arrangements and various employee benefits, including paid parental leave and personal development budgets.

Benefits

Health + Mental Wellbeing PMI

Cycle to Work scheme

25 days annual leave

Paid parental leave

Free shipping on Depop sales

Qualifications

• Experience querying large, complex datasets using SQL.
• Ability to analyze model outputs or support ML evaluation workflows.
• Experience designing A/B tests and interpreting the results.

Responsibilities

• Lead analytics and technical discovery for product areas.
• Influence product thinking and connect insights to company goals.
• Design and run experiments to inform product development.
• Collaborate to ensure scalable, accurate datasets for analysis.

Skills

Strong SQL skills

Proficiency in Python

Familiarity with ETL workflows

Proven experience with A/B testing

Hands-on with visualisation tools

Excellent communication skills

Commercial mindset

Strong sense of ownership

Tools

Looker

Tableau

Job description

Company Description

We're looking for a Senior Product Data Scientist to join our Insights team. You'll partner closely with product, engineering, and machine learning to deliver insights, drive experimentation, and shape the future of Depop's product ecosystem.

This role sits at the intersection of technical excellence and strategic impact. You will not only dive deep into data, pipelines, and experimentation frameworks, but also influence product direction, user experience, and commercial outcomes.

What You'll Do

Lead analytics and technical discovery for a core product area:

Partner with product managers, engineers, and ML scientists to explore opportunities through advanced analytics. You'll apply analytical methods (e.g. statistical methods) and work with ML practitioners to assess algorithmic impact, define success metrics, and shape product direction with a strong technical foundation.

Influence Product And Business Strategy

Provide a strategic lens to product thinking-connecting your domain insights and helping the product team ladder up to company-wide goals. Be a thought partner and challenge assumptions, raise the quality of decision-making, and help drive a culture of evidence-based thinking.

Design And Run Experiments

Define hypotheses, implement A/B tests, and rigorously evaluate impact with deep dives and customer behaviour insights to inform roll out decisions and future product development.

Work together with other teams to enable self-serve data driven decision making:

Collaborate with product, platform and data teams to ensure scalable, accurate datasets for analysis. Develop dashboards and reporting that drive awareness and actionable insights.

What We're Looking For

• Strong SQL skills and experience querying large, complex datasets
• Proficiency in Python, with experience in advanced analytics techniques, analyzing model outputs or supporting ML evaluation workflows
• 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 sense of 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 working alongside machine learning teams or embedding data science in ML‑powered product discover

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, 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 dependant 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!