About this role

Developing and deploying machine-learning models in production environments
Working end-to-end across the data science lifecycle: problem definition, modelling, deployment and monitoring
Analysing new and existing data sources to improve decision-making and model performance
Designing feedback loops that continuously improve outcomes and data quality
Collaborating closely with engineers to deliver scalable, reliable model predictions
Communicating technical insights clearly to non-technical stakeholders

Solid experience working as a data scientist on real-world, production problems
Strong Python skills (or a similar language used in applied data science)
Experience with supervised learning and unsupervised techniques such as anomaly detection
Exposure to cloud-based model training, deployment and automation
A strong sense of ownership and accountability for data science outputs
Experience working with large consumer datasets or high-traffic platforms is an advantage, but not essential.

Senior Data Scientist – Digital Twins

Key skills