You’ll take full ownership of model development-building and deploying ML models that directly shape decisions across underwriting, fraud, and customer conversion. It’s a hands-on, end-to-end role, working with both structured and unstructured data in a collaborative, fast-paced team.

• Strong Python (pandas, sklearn, etc.) and advanced SQL
• Experience building behavioural or credit models
• Good grasp of ML algorithms, not just how to run them
• Clear communicator across technical and non-technical teams
• Solid awareness of data drift and model monitoring
• Excellent data visualisation-You know how to make ideas land
• Degree in Computer Science, Maths, Stats, or similar

Bonus Points For

• Experience in credit cards or consumer lending
• Exposure to deep learning (Keras, TensorFlow)
• Familiar with Git, Tableau, Bitbucket
• Master’s in Data Science or related field

• Up to £75k depending on experience
• 25-30 days holiday + birthday off
• Hybrid working (London)
• Enhanced family-friendly policies
• Great culture and a chance to make a real impact

Please note: sponsorship is not available for this role.

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