Data Scientist

AI in this role

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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.

How we rate this

Data Scientist at Moonpig rates 15 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.