This role has closed. Moonpig has taken the posting down.
hirly last saw it live on 9 September 2026. See similar open roles below, or browse all Data Scientist jobs in London.
Moonpig
Data Scientist
London
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hirly's read of this role
- Role family
- Data & ML
- Seniority
- Mid level
- Country
- GB
- Work mode
- On-site / unstated
- First seen by hirly
- 9 Sept 2026
Derived automatically from the posting.
the posting
We’re the Moonpig Group – home to Moonpig, Greetz, Red Letter Days and Buyagift – and we’re on a mission to make people feel loved, celebrated and remembered. Whether it’s a card that gets them laughing out loud or a gift that makes their day, we help people stay close, no matter the miles.
We’re proud to be leading the online gifting revolution, with brilliant products, clever tech and a whole lot of heart. Our platform makes it easy to create moments that matter – packed with personal touches and delivered with care.
We’re not just about selling cards or gifts – we’re here to spread joy, spark smiles and make every celebration feel extra special. And with values that guide how we work and support one another, we’ve built a place where people (and ideas) can truly thrive.
If you’re looking to make an impact, bring your spark and be part of something meaningful – we’d love to have you on the team. 🌙🐷
Data Scientist | 📍London or Manchester – Hybrid (1–2 office days per week) | 💰Competitive Salary + Benefits
About the Role
We’re looking for a Data Scientist to join Moonpig, working hybrid from London or Manchester. You’ll build, evaluate and help productionise machine learning solutions that solve real customer and commercial problems across recommendations, personalisation, customer modelling and predictive modelling.
This is a hands-on applied Data Science role where you’ll work closely with Product, Engineering, MLOps, Commercial and Marketing. You’ll turn clearly defined problems into practical ML solutions, evaluate whether they’re working and help bring them successfully into production.
You’ll have the independence to make sound decisions within your problem space, while being part of a collaborative team that values high-quality, reproducible code and thoughtful experimentation. You’ll also use modern AI-assisted development tools responsibly to improve the speed and quality of delivery.