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Product Data Scientist
Harnham
- London, England, United Kingdom
- London, England, United Kingdom
À propos
HYBRID – 1X A WEEK IN LONDON
Please note, you must be a UK resident to apply and hold full right to work.
JOB DESCRIPTION My client is looking for a Product Data Scientist to join a growing Insights team. In this role, you’ll partner closely with product, engineering, and machine learning teams to deliver insight, drive experimentation, and shape the future of a consumer‑facing product ecosystem.
This position sits at the intersection of technical depth and strategic impact. You’ll dive into data, pipelines, and experimentation frameworks while also influencing product direction, user experience, and commercial outcomes.
WHAT YOU’LL DO Product Analytics Ownership
Act as the go‑to data scientist for a core product area.
Develop a deep understanding of user behaviour and product performance.
Identify opportunities to improve user outcomes and business results.
Influence Product & Business Strategy
Connect analysis to broader company goals and strategic priorities.
Help product teams understand trade‑offs, challenge assumptions, and make evidence‑based decisions.
Experimentation & Measurement
Design hypotheses and support experimentation frameworks.
Monitor and analyse A/B tests, providing clear recommendations on rollouts or iterations.
Conduct post‑experiment analysis to evaluate impact and learning.
Enable Data‑Driven Decision Making
Collaborate with product, platform, and data teams to ensure scalable, accurate datasets.
Build dashboards and reporting that drive awareness, clarity, and action across teams.
Support self‑serve analytics and data literacy within the product organisation.
SKILLS
Strong SQL skills with experience querying large, complex datasets.
Basic working knowledge of Python.
Familiarity with ETL workflows and debugging data issues.
Proven experience designing and interpreting A/B tests.
Hands‑on experience with data visualisation tools (e.g., Looker, Tableau, or similar).
Excellent communication skills, with the ability to explain complex concepts clearly and persuasively.
Commercial mindset, balancing user needs with business outcomes.
Strong sense of ownership; highly organised and proactive.
Comfortable working in fast‑changing, ambiguous environments.
BONUS POINTS
Experience working on consumer‑facing, mobile‑first products or marketplaces.
Exposure to working alongside machine learning teams or embedding data science into ML‑powered product discovery.
Seniority level Mid‑Senior level
Employment type Full‑time
Job function Analyst
Industries Retail Apparel and Fashion
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Compétences linguistiques
- English
Avis aux utilisateurs
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