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Data Scientist (Product Analytics)

Wordsmith· R&D
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Edinburgh, LondonFull-timePosted 3mo ago

About the role

Wordsmith is building a legal operations platform for in-house teams. This role focuses on turning raw usage data into strategic insights to shape the product roadmap, operating at the intersection of Product, Engineering, and Design.

Responsibilities

  • Instrument Core Analytics: Design, instrument, and validate product analytics—including event tracking, funnels, retention curves, and feature-adoption metrics.
  • Build the Metrics Infrastructure: Build and maintain the core metrics framework and the dashboards that surface them to the broader company.
  • Improve Data Quality: Partner with engineering to improve data instrumentation, event schemas, and tracking quality at the source.
  • Empower Self-Serve Access: Build intuitive self-serve analytics tooling and data models so internal stakeholders can easily answer their own day-to-day questions.
  • Own Statistical Rigour: Design, run, and assess A/B tests and other controlled experiments; own the statistical validity of our testing culture from hypothesis definition to the final decision.
  • Analyze User Behavior: Conduct deep-dive behavioral analyses, cohort performance tracking, and churn driver investigations to uncover critical product friction points.
  • Develop Predictive Models: Build predictive and segmentation models to anticipate user needs, flag churn risk, and identify expansion opportunities.
  • Translate Ambiguity: Translate ambiguous or open-ended product questions into well-scoped technical analyses and clear, actionable recommendations.
  • Advocate for the User: Act as the voice of user behavior within the GTM and Product teams, feeding builders with empirical insight on how users actually interact with the platform.

Qualifications

  • 3–5+ years of experience in a dedicated product data science or product analytics role.
  • Strong technical toolkit: Advanced proficiency in SQL and Python/R for data manipulation, statistical analysis, and predictive modeling.
  • Genuinely product-minded: Deeply curious about why users behave the way they do, not just what the top-line numbers say.
  • Rigorous experimentation background: Hands-on experience designing and analyzing A/B tests with a firm grasp of experimental statistics.
  • Exceptional communication skills: Able to translate complex data findings crisply into clear stories for non-technical audiences, influencing product direction without direct authority.
  • Thrives in ambiguity: Self-directed operator who can navigate an unmapped environment and point themselves toward the highest-impact questions.
  • Bias toward action: Highly pragmatic approach to balancing scientific rigour with startup execution speed.

Skills

Required:SQLPython or RExperimentation and A/B TestingData Visualization / dashboardsCommunicationProduct sense

Benefits

  • Competitive compensation
  • Benefits (unspecified in detail here)
Last updated Jul 15, 2026. Interested? Apply on the company site.
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About Wordsmith

Wordsmith — AI for In-House Legal Teams

Wordsmith is the AI platform built for in-house legal teams. Draft, review, and research contracts faster — with answers your team can trust.

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