In this role you drive business value by building data science and GenAI solutions for Vodafone's Local Markets and Group. You will create, own and scale reusable analytics products while driving digital transformation through automation. You collaborate with product managers and delivery teams to shape Analytics Projects and deliver impactful insights and innovations. You will stay ahead on analytics trends and challenge the status quo to enable data-driven decisions at scale.
Compensaciones / Beneficios
- Hybrid work model
- Bonus on top of the gross salary
- Adaptable working hours
- Up to 20 days remote work per year
- Private Health and Life Insurance
- Access to online learning platform
Responsabilidades
- Manage analytics needs across Group and OpCos to define analytics products and projects
- Ensure software development best practices in Data Science across the team
- Specify and deliver analytical products and services
- Oversee analytics portfolio with continuous improvement and new product development
- Develop analytics solutions using descriptive, GenAI, predictive and prescriptive methods
- Coordinate delivery with the DAIS partner organization
- Maintain data sources and models and keep knowledge up to date
- Monitor emerging analytics trends and challenge the status quo
Requisitos principales
- Experience working in an agile environment
- Strong communication with ability to influence senior stakeholders
- Storytelling with data
- Proficiency in Python for data analysis, automation and AI/ML development with good software engineering practices
- Practical experience with any Cloud platform (GCP, Azure, AWS)
- Working knowledge of ML and GenAI solutions
- Experience defining, building and supporting end-to-end analytics or AI products
- Proven cross-functional collaboration across business, IT and delivery teams
- Strong communication
- Influencing senior stakeholders
- Storytelling with data
- Python for data analysis and AI/ML solution development
- Cloud platforms (GCP, Azure, AWS)
- GenAI and traditional ML techniques