Role Purpose: 

Develop predictive models using state-of-the-art cloud based machine learning solutions with large and varied data sets. Working on projects across multiple countries, the Data Scientist will create advanced analytics products that deliver actionable business value to Vodafone and its stakeholders

The Data Scientist will work with a global community of colleagues across ML, technology and commercial stakeholder functions and will be a contributor to the wider Data Science community, supporting the enablement and progression of Vodafone's ML capability.

Key Accountabilities and decision ownership

• Design, develop and continually optimise Machine Learning models that are scaled and replicated across Markets.
• Use a variety of datasets to test hypotheses, to discover hidden relationships and provide actionable outputs.
• Deliver hands-on coding solutions for markets complex use cases deployed on Cloud.
• Support the delivery of models in production, including the use of MLOps frameworks.
• Use data visualisations to clearly explain outcomes

Core competencies, knowledge and experience.

• Hands-on experience developing ML models in a commercial, consumer, digital environment
• ML Engineering experience - CI/CD and containerisation (e.g. Docker, Kubernetes, etc..)
• Knowledge and experience of statistical techniques and concepts
• Engineer at scale using production-level architectures (Google Cloud preferred)
• Proven generation of business value from machine learning models
• Experience working on Google Cloud Platform and it's associated services