Senior Data Scientist

Moonpig

Today

Location: London · Manchester
Workplace: Hybrid
Type: Full-time
Department: Data
Seniority: Senior
Source: Lever

Description

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. 🌙🐷

Senior Data Scientist | 📍London or Manchester – Hybrid (1–2 office days per week) | 💰Competitive Salary + Benefits

About the Role

We’re looking for a Senior Data Scientist to join Moonpig, working hybrid from London or Manchester. You’ll own high-value machine learning problems end-to-end, from identifying opportunities and shaping problems through to technical delivery, production and measurable customer or commercial impact.

This is a hands-on senior individual-contributor role with significant technical and product ownership. You’ll work across recommendations, personalisation, customer modelling and predictive modelling, partnering closely with Product, Engineering, MLOps, Commercial and Marketing to understand where Data Science can create the most value and how we should measure success.

You’ll have the space to navigate ambiguity and make sound technical decisions independently. You’ll design robust offline and online evaluation, own meaningful models and ML components throughout their lifecycle, and use evidence to help shape product and business decisions.

Skills

PythonAWSSQLMachine LearningData Science