Data Scientist (Product Analytics)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Data Scientist (Product Analytics) at Wordsmith, focusing on turning raw usage data into strategic product insights. You will design and instrument analytics across product, engineering, and design, build dashboards and models, run controlled experiments, and empower internal teams with self-serve analytics to optimize adoption and retention of the AI-driven legal operations platform.

Location: Edinburgh, London

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key 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 dashboards surfaced 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: Create intuitive self-serve analytics tooling and data models for internal stakeholders.
•Experimentation & Deep-Dive Analysis: Design, run, and assess A/B tests; analyze user behavior and develop predictive models to anticipate needs and flag churn risk.

Key Requirements

•3–5+ years of experience in a dedicated product data science or product analytics role.
•Strong technical toolkit with SQL and Python/R for data manipulation, statistical analysis, and predictive modeling.
•Genuinely product-minded with a deep curiosity about why users behave the way they do.
•Rigorous experimentation background with hands-on experience designing and analyzing A/B tests.
•Exceptional communication skills to translate complex data findings into clear stories for non-technical audiences.

Experience:3-5 yearsB2B SaaSEnterprise technologyLLM

Skills:CommunicationCuriosityCollaborationProblem-solvingAmbition

Languages:English

Tech Stack:SQLPythonRData visualizationDashboardsInstrumentation

Company Brief

Wordsmith

Provides an AI-powered writing platform that generates human-like marketing copy, blog posts, and content at scale, helping teams automate content creation, improve SEO, and accelerate writing workflows.

Industry: SaaS

Website

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Wordsmith

1 month ago

Data Scientist (Product Analytics)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Location: Edinburgh, London

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key 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 dashboards surfaced 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: Create intuitive self-serve analytics tooling and data models for internal stakeholders.
•Experimentation & Deep-Dive Analysis: Design, run, and assess A/B tests; analyze user behavior and develop predictive models to anticipate needs and flag churn risk.

Key Requirements

•3–5+ years of experience in a dedicated product data science or product analytics role.
•Strong technical toolkit with SQL and Python/R for data manipulation, statistical analysis, and predictive modeling.
•Genuinely product-minded with a deep curiosity about why users behave the way they do.
•Rigorous experimentation background with hands-on experience designing and analyzing A/B tests.
•Exceptional communication skills to translate complex data findings into clear stories for non-technical audiences.

Experience:3-5 yearsB2B SaaSEnterprise technologyLLM

Skills:CommunicationCuriosityCollaborationProblem-solvingAmbition

Languages:English

Tech Stack:SQLPythonRData visualizationDashboardsInstrumentation

Company Brief

Wordsmith

Industry: SaaS

Website