Data Science Manager

at  Vodafone

DATA SCIENCE MANAGER

Location: London, Speechmark + Hybrid Working
Salary: Excellent basic salary plus bonus and Vodafone benefits
Working Hours: Full time 37.5 hours per week – Mon to Fri

WHO WE ARE

We’re a global technology communications company that empowers people and businesses to stay connected and thrive in a digital world. With a focus on innovation, sustainability and earning customer loyalty, we leverage cutting-edge technology to offer products and services that enhance communication and improve lives.
At Vodafone UK, diversity isn’t just a buzzword, it is core to who we are as a company. We’re proud to be certified as a Great Place to Work and are committed to driving inclusion for all; creating a workplace that is fully representative of the communities and customers we serve.
Be a part of Vodafone UK Consumer team where creating and developing products, services and propositions is at the forefront. From the way we interact with our customers, to how we communicate in our campaigns and create data-driven propositions, this is where some of our best ideas are brought to life.

The Data Science Manager is a critical role for our UK Big Data & AI department that is responsible for maximising customer and market value from data through delivering scalable predictive ML & Gen AI assets that can deliver competitive advantage to the business. This would be achieved by establishing close partnerships with senior stakeholders across the VF business.

• Functionally line manages a direct and indirect team of Data Scientists.
• Partners with senior stakeholders to identify opportunities to build and deliver data driven modelling use cases that drive commercial or customer value.
• Defines & owns the roadmap for the big data team within their area of accountability across business stakeholders, such as Consumer, Networks, Technology, Digital & Operations.
• Manages and prioritises multiple backlogs with key stakeholders as part of cross-functional agile delivery teams (including Business, Technology and Big Data).
• Measures the benefits & impacts of new and existing Big Data & AI capabilities. Also establishing best practices & standards for machine learning & Generative AI.
• Builds a culture of innovation and delivers innovative use cases that deliver value.
• Keeps track of industry trends for data driven modelling use cases, particularly telco trends