Product Data Scientist - Recommendation Systems

Harnham Inc.
Brighton, United States of America
3 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 90K

Job location

Remote
Brighton, United States of America

Tech stack

A/B testing
Artificial Intelligence
Python
Recommender Systems
Standard Sql
Large Language Models
Data Analytics

Job description

  • Partner with Product and Engineering to solve commercial and customer problems.

  • Lead experimentation, opportunity sizing and product performance analysis.

  • Build recommendation models, segmentation solutions and AI-powered product features.

  • Develop lightweight data products, automation and proof-of-concepts.

  • Apply ML and LLMs to improve customer experiences and internal workflows.

  • Present clear, data-driven recommendations to senior stakeholders.

Requirements

  • 6+ years' experience in Data Science/Decision Science

  • Strong SQL and Python.

  • Experience with practical LLM/AI applications.

  • Strong experimentation and A/B testing experience.

  • Excellent stakeholder management and commercial thinking.

  • 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.

About the company

Interested in building AI-powered customer experiences from idea to production? Looking for a role where Data Science, Product and Commercial impact genuinely come together? Brighton | Hybrid (3 days in office) | Up to £90K I'm partnering with one of the world's leading online marketplaces, currently investing heavily in Data & AI as they transform into a truly product-led organisation. They're hiring a Product/Decision Scientist to join one of six cross-functional product squads, working alongside Product Managers, Engineers and Designers to build customer-facing features, influence commercial decisions and develop AI-powered experiences. Rather than sitting in a central analytics function, you'll own data within your squad, helping shape roadmap decisions from idea through to delivery and measuring the impact of what gets built.

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