Senior Product Data Scientist - Text Analytics
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Role details
Tech stack
Requirements
Stack: Python, SQL, NLP, Text Analytics, Semantic Analysis, Experimentation, dbt
Benefits & conditions
Build and own AI product evaluation frameworks and success metrics
Use NLP, semantic analysis and behavioural analytics to identify opportunities for improvement
Design and analyse A/B tests and experimentation programmes
Partner with Product Managers, Engineers and Directors to influence roadmap decisions
Link AI feature usage to activation, retention, engagement and business outcomes
Mentor analysts or data scientists and raise analytical standards across the team
Key Details
Salary: £110,000-£125,000 (Senior/Tech Lead) or £120,000-£145,000 (Staff)
RSUs worth 50-100% of base salary
Potential £10,000 sign-on bonus
Hybrid London (ideally 2-3 days per week, flexible to 1 day)
About the company
Do you want to shape how one of Europe’s leading AI products measures success?
Have you worked with large-scale text, conversational or semantic datasets to uncover product insights?
Are you ready to influence product strategy through data rather than just reporting on it?
We’re hiring for a well-funded AI-native scale-up building one of the world’s leading AI video generation platforms. Their technology enables users to create avatar-led videos from text and is used globally across training, internal communications, sales enablement and marketing. Having achieved significant growth and enterprise adoption, they are investing heavily in understanding how users interact with AI products and how those experiences can be improved.
This role sits at the intersection of Product, Data Science and AI. You’ll analyse large-scale conversational datasets, build evaluation frameworks for AI-native features, and directly influence product decisions through experimentation and insight generation.
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