Join Us
At Vodafone, we're not just shaping the future of connectivity for our customers – we're shaping the future for everyone who joins our team. When you work with us, you're part of a global mission to connect people, solve complex challenges, and create a sustainable and more inclusive world. If you want to grow your career whilst finding the perfect balance between work and life, Vodafone offers the opportunities to help you belong and make a real impact.
What you'll do
Coding, data, technology – that's your world Be part of our Digital Operations Teams and shape new and innovative solutions for the transformation of Vodafone towards the Digital Telco. Work with state-of-the art tools and open-source libraries.
As a member of the Vodafone Network Operations Data Science team your main focus will be to employ data science methods to analyse large data sets and implement your findings in professional software for real-time network problem detection and automated resolution.
Main Accountabilities:
1. Develop software in a dynamic team employing agile development processes and Python
2. Employ statistical methods to correlate network parameters, network topology and customer experience data to identify network problems and solve them automatically and predictively
3. Evaluate large data sets with state of the art data science methods like machine learning, classification, clustering and pattern search
4. Design and implement algorithms to detect network and service problems in real-time
5. Implement your findings and take cross-functional responsibility from development towards go-live and operations (DevOps)
6. Contribute to the continuous improvement of the development process in the team with CI/CD and your innovative ideas
Who you are
7. Academic Background in computer science, physics, mathematics or communications engineering
8. Strong problem solving and solution-oriented thinking
9. Very strong analytical capabilities, data science and statistics know-how and proven track record of implemented solutions
10. Strong programming skills and experience in software development, especially with Python
11. Knowledge of Agile methodologies and development tools
12. Fluent in English