Product Data Scientist - Recommendation Systems
Role details
Job location
Tech stack
Job description
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Partner with Product and Engineering to solve commercial and customer problems.
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Lead experimentation, opportunity sizing and product performance analysis.
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Build recommendation models, segmentation solutions and AI-powered product features.
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Develop lightweight data products, automation and proof-of-concepts.
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Apply ML and LLMs to improve customer experiences and internal workflows.
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Present clear, data-driven recommendations to senior stakeholders.
Requirements
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6+ years' experience in Data Science/Decision Science
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Strong SQL and Python.
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Experience with practical LLM/AI applications.
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Strong experimentation and A/B testing experience.
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Excellent stakeholder management and commercial thinking.
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Experience working closely with Product and Engineering teams.
If you're looking for a role with genuine product ownership, modern technology and the opportunity to influence AI strategy within a growing data organisation, I'd be happy to tell you more.