Senior/Staff Product Data Scientist

• Analyse high-volume text and conversation data to uncover meaningful patterns and user behaviours
• Apply semantic analysis and NLP techniques to improve product performance and user experience
• Partner closely with product and engineering teams to translate insights into actionable decisions
• Build scalable data pipelines and analytical frameworks using Python and SQL
• Take ownership of end-to-end analysis - from problem definition to recommendations and impact
• Influence product direction through insight-led, exploratory analysis, not just optimisation

• Proven experience working with large-scale text or conversational datasets (essential)
• Strong background in semantic analysis / NLP (required)
• Advanced Python and SQL skills, including building data pipelines
• Experience collaborating with product teams and driving real business impact from data
• Comfortable working in ambiguous, exploratory environments
• Track record of owning projects end-to-end, from data exploration through to recommendations

Nice to Have but not required

• Experience with dbt or modern data stack tools
• Background in AI-first, messaging, or text-heavy platforms
• Exposure to non-tabular / unstructured data environments

• Directly impact how AI systems understand and respond to users
• Join a high-growth, product-driven organisation with strong technical leadership
• Take on a strategic, high-ownership role with visibility across the business
• Competitive compensation with meaningful shares

This is a unique opportunity to join a high-impact team working at the forefront of human-AI interaction, where your insights will directly influence product direction and user experience. You'll sit at the centre of a growing analytics function, acting as a hub across multiple product areas, shaping how the business understands and improves AI-driven conversations at scale.