Product Data Scientist (AI)

Location: On-site in Edinburgh or London, United Kingdom. Office attendance is the default.

Company

hirify.global is building an AI-powered legal operations platform for in-house legal teams, used by more than 500 companies.

What you will do

• Design, instrument, and validate product analytics, including event tracking, funnels, retention curves, and feature-adoption metrics.
• Build and maintain the core metrics framework, dashboards, self-serve analytics tooling, and data models.
• Partner with Engineering to improve event schemas, instrumentation, and data quality.
• Design, run, and assess A/B tests and other controlled experiments, ensuring statistical validity.
• Analyze user behavior, cohort performance, churn drivers, and product friction points; develop predictive and segmentation models.
• Translate ambiguous product questions into actionable recommendations and provide behavioral insights to Product, Engineering, Design, and GTM.

Requirements

• 3–5+ years of experience in product data science or product analytics.
• Advanced SQL and Python or R skills for data manipulation, statistical analysis, and predictive modeling.
• Hands-on experience designing and analyzing A/B tests and applying experimental statistics.
• Strong product intuition and curiosity about why users behave the way they do.
• Exceptional communication skills, with the ability to explain complex findings to non-technical audiences and influence product direction.
• Ability to work independently in ambiguous, fast-moving environments and balance scientific rigor with execution speed.

Nice to have

• Experience in a B2B SaaS or enterprise technology environment.
• Exposure to LLM-based products and measurement challenges such as latency, output quality, user trust, and hallucination rates.
• Analytical work that directly influenced product design or strategic roadmap decisions.

Culture & Benefits

• High-ownership role with autonomy to define the experimentation and analytics framework.
• Close collaboration with Product, Engineering, Design, and GTM teams.
• Opportunity to solve measurement and evaluation problems in enterprise generative AI.
• Competitive compensation and benefits.
• In-office environment designed to support close collaboration.