Wordsmith
Legal Tech
DataScientist(ProductAnalytics)
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Data Scientist (Product Analytics) at Wordsmith. Skills: Product analytics, Experimental design, Predictive modeling. Design, instrument, and validate product analytics. Build and maintain the core metrics framework”
What You'll Achieve.
Shape the future of product roadmap; Define what 'good' looks like for platform; Build metrics, models, and experiments to track 'good'; Drive core adoption; Optimize user retention; Ensure AI agents deliver maximum value
Industry & Context.
Uncover behavioral patterns; Optimize user retention; Ensure AI agents deliver value; Uncover critical product friction points; Anticipate user needs; Flag churn risk; Identify expansion opportunities
What They're Looking For.
Must Have
3–5+ years of experience in product data science or product analytics, Advanced proficiency in SQL, Advanced proficiency in Python/R for data manipulation, statistical analysis, and predictive modeling, Rigorous experimentation background, Hands-on experience designing and analyzing A tests, Firm grasp of experimental statistics, Exceptional communication skills, Able to translate complex data findings crisply into clear stories for non-technical audiences, Self-directed operator, Pragmatic approach to balancing scientific rigour with startup execution speed
Nice to Have
Experience working in a fast-moving B2B SaaS or enterprise technology environment, Exposure to LLM-based products, Proven track record of analytical work that directly changed a core product design or strategic roadmap decision
What You'll Do.
and validate product analytics
Build and maintain the core metrics framework
Surface metrics via dashboards
Improve data instrumentation
Improve event schemas
Improve tracking quality
Build intuitive self-serve analytics tooling
Own the statistical validity of testing culture
Analyze user behavior
Conduct deep-dive behavioral analyses
Track cohort performance
Investigate churn drivers
Build predictive models
Build segmentation models
Translate ambiguous product questions into technical analyses
actionable recommendations
Act as the voice of user behavior
Feed builders with empirical insight
How You'll Work.
Team & Collaboration
Intersection of Product, Engineering, and Design; GTM and Product teams; Product, engineering, and design teams
Communication Scope
Translate complex data findings; Clear stories for non-technical audiences; Influencing product direction
Full Job Description
DATA SCIENTIST (PRODUCT ANALYTICS) EDINBURGH OR LONDON WORDSMITH Wordsmith is building the legal operations platform for in-house teams, and we are growing fast. We believe in-house legal is becoming one of the most important functions in the AI era. Every business is moving faster, but legal work is still too often scattered across inboxes, chats, documents, and disconnected systems. Wordsmith brings that work into one system. Requests come in from across the business, AI agents handle the routine, lawyers stay in control where judgment matters, and every step is captured as work happens. We are built for in-house legal, not law firms. Our goal is to help legal teams move faster, reduce unnecessary external counsel spend, and become a function the business can run with. More than 500 companies, including Financial Times, Safelite, Trip.com, Canva, Starling, and Sage, use Wordsmith. Backed by $100M from Index Ventures, General Catalyst, Highland Europe, and others, we are building one of the defining companies in legal AI. THE ROLE As our product scales across global enterprises, understanding exactly how users interact with our AI agents is critical to our success. This role exists to turn raw usage data into the strategic insights that will shape the future of our product roadmap. You will sit directly at the intersection of Product, Engineering, and Design, acting as the analytical conscience of the team. This is a high-impact role requiring a blend of deep technical skill and product intuition. You will define what "good" looks like for our platform and build the metrics, models, and experiments to track it. This isn't a passive reporting or basic data-pull role. It combines advanced product analytics, experimental design, and strategic decision support. Your mission is to uncover the behavioural patterns that drive core adoption, optimize user retention, and ensure our AI agents deliver maximum value to every customer. WHAT YOU'LL DO Product Analytics & Metrics
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