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Base pay range
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Building Data Science and Machine Learning Teams in the UK | The Talent Driving The Data and AI Revolution
Data Science Manager
Up to £120,000
A leading e-commerce brand in the circular economy space is seeking a hands-on Data Science Manager to scale its pricing and optimisation capabilities across UK and US markets.
The business is committed to sustainability and innovation, operating across direct-to-consumer, marketplace, and B2B channels. With a strong technology backbone and global reach, they’re on a mission to reinvent how pre-owned products are bought and sold.
This is a role, balancing individual contribution with team leadership.
What You’ll Do
- Lead data science projects focused on pricing optimisation and revenue management.
- Manage and mentor a small international team of data scientists (UK and US based).
- Build statistical and machine learning models to enhance customer value and business outcomes.
- Develop and run rigorous experimentation frameworks (A/B, MAB, causal inference).
- Work cross-functionally with engineering, product, and commercial teams to deliver real-world impact.
- Lead data strategy for pricing across inbound and outbound flows.
What We’re Looking For
- Proven data science experience, ideally focused on pricing and revenue optimisation.
- Proven leadership in growing and mentoring data teams.
- Strong Python and SQL skills, with experience in cloud platforms such as Google Cloud.
- Expertise in statistical techniques such as GLMs, classification, survival models, forecasting, and optimisation.
- Hands-on experience with experimentation and causal inference.
- Strong MLOps knowledge and experience deploying models into production environments using CI/CD.
- Experience with data visualisation tools like Tableau, and communicating to both technical and non-technical audiences.
If this role looks of interest, please apply below.
Please note, this role cannot offer sponsorship.
Seniority level
- Seniority levelMid-Senior level
Employment type
Job function
- Job functionAnalyst, Engineering, and Science
- IndustriesStaffing and Recruiting
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