Staff Data Scientist - Product

📋 Description

• Own end to end science roadmaps for a product domain, partnering with Product, Engineering and
• Lead the measurement strategy for your area, shape how AI is applied to analytics and agentic use
• Build reusable analytical assets that get adopted across pods, mentor data scientists, and help
• Define measurement, evaluation metrics and guardrails for AI powered product features and agentic
• Productionise decision, ranking or risk models in partnership with engineering.
• Establish patterns for using AI and automation to accelerate the team's own workflows.

🎯 Requirements

• Strong SQL and Python skills alongside a solid statistical foundation, including experimentation
• Working across Snowflake, dbt and Git, comfortable with CI/CD practices for code.
• Experience productionising models or decision systems (scoring, risk, ranking or propensity).
• Influencing senior partners across Product, Engineering and Design, aligning on decision criteria
• Mentoring and coaching other data scientists.
• A tertiary qualification in a quantitative discipline, along with significant experience in data

🎁 Benefits

• Flexible hybrid working model blending office collaboration and remote autonomy.
• Access to modern office spaces with office days and collaborative 'boost days'.