Data Scientist

• Design and execute advanced statistical and predictive models to understand the key drivers of customer behaviour, retention, and engagement.
• Develop and refine sophisticated models to measure and predict key commercial outcomes and customer behaviours (e.g., lifetime value, acquisition efficiency), providing critical insights to our marketing and commercial teams.
• Own the complete development lifecycle for your machine learning models, from data gathering, feature engineering, and POC to model training, validation, and production deployment.
• Partner with our Machine Learning and Software Engineering teams to deploy your models as scalable, reliable, and robust services using Docker and Kubernetes.
• Clearly document and communicate complex findings, model results, and actionable insights to both technical and non-technical stakeholders.
• Keep up to date with the latest research and developments in data science, machine learning, and MLops, and champion new approaches within the team.

Data Scientist – Mid-Senior Level

Data Scientist

Supply Chain Lead, Operations Data

Manager, Data Science – Solutions

Data Manager