Job description
Role purpose
Identify opportunities to improve business outcomes through the use of analytical techniques, working with Local Markets and Group to understand their requirements and find and/or develop appropriate analytical products.- Build and deliver data science models that drive value following best-practices and standards (revenue upturn, cost decrease and/or customer & employee engagement improvements)
- Build and deliver automations which will help digital transformation of stakeholders
- Partner with Product Manager & delivery teams within Shared Services to deliver analytics solutions & insight with a focus around following best-practices and standards
- Create, own and maintain reusable data science products and services that can be deployed across Vodafone
- Drive innovation by employing new analytical techniques, collaborating with wider Data & Analytics team
- Collaborate with Product Design Leads to embed Analytics into dashboards & applications to create greater relevance and impact for Vodafone
As a Data Scientist Lead, you´ll be in charge of the following responsibilities:
Stakeholder management and engagement with new stakeholders from Group and OpCos to address their analytics needs and shape and define our Analytics Products/Projects Portfolio based on these requirements- Ensure best-practices and standards for software development in Data Science are followed across the wider team (including DAIS)
- Own specification and delivery of analytical products and services
- Manage analytics portfolio and products by continuous improvement of existing products and developing new products based on stakeholder needs
- Develop new analytics solutions through descriptive, predictive and/or prescriptive analytics techniques
- Manage delivery through partner organisation in DAIS (Data & Analytics Integrated Services in Vodafone Shared Services)
- Maintain data sources and models up to date
- Maintain up to date knowledge and emerging trends in analytics and challenge the status quo
What do you bring?
Proven data analytics experience (data science, data analysis, data management)- Understanding of analytical techniques and competencies (e.g. Machine Learning / statistical modelling)
- Excellent numeracy skills
- A track record of working with large unstructured data sets to generate business insight
- Experience with working across business and IT teams; ideally both on and off shore
- Software Development and Design skills
- Experience in agile way of working
- Having hands on experience with:
- programming laguages like Python.
- standard Data Science stack like Pandas, numPy, sci-kit learn, etc.
- data handling: SQL/BigQuery.
- visualisation tools like Qlik, Tableau, PowerBI, etc. (good to have)
- cloud platforms like GCP, AWS, Azure, etc. (good to have)
- Strong communication skills with ability to influence senior stakeholders
- Storytelling with data
What’s in it for you?
25 days holiday (with the option to buy up to 10 extra days).- #LI-Hybrid (60% home – 40% office) and flexible hours.
- 3 paid days leave for charity projects.
- Meal vouchers and flexible remuneration.
- Free health insurance with Adeslas.
- Access to Grow with Vodafone, our learning and development experience (LinkedIn Learning included)
We invite you to join Vodafone to build a future together, in a position where you can learn new things every day and thrive.
Get to know us better here and find out what life at Vodafone could be like for you: https://www.vodafone.es/c/conocenos/es/vodafone-espana/trabaja-con-nosotros/
Vodafone is committed to attracting, developing and retaining the best people by offering a flexible, motivating and inclusive workplace in which talent is truly recognised, developed and rewarded. We believe that diversity plays an important role in the success of our business and we are committed to creating an inclusive work environment which respects, values, celebrates and makes the most of people’s individual differences. We are proud to offer equal opportunities regardless of race, nationality, cultural origin, sex, age, marital status, sexual orientation, gender identity, disability and religious or political beliefs.
