Role Purpose- Identify opportunities to improve business outcomes using 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 and GenAI 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 VOIS to deliver analytics solutions.- Create, own and maintain reusable data science products and services that can be deployed across Vodafone.- Drive innovation by employing new analytical techniques.Key accountabilities and decision ownership- 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.- 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, GenAI,



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.Key performance indicators- Value created from delivery of analytics products and projects.- Efficiency of delivery (return on investment) given by the standardization of the solutions delivered.- Rate of innovations introduced to the company (focus areas of ML/GenAI/Automation).Core competencies, knowledge and experience- Experience in agile way of working.- Strong communication skills with ability to influence senior stakeholders.- Storytelling with data.Must have technical / professional qualifications- Hands‑on proficiency in Python for data analysis, automation, and AI/ML solution development, following software engineering best practices (version control, modular design, reusable components).- Practical experience with any Cloud (GCP, Azure, AWS).- Working knowledge of Machine Learning and GenAI solutions.- Experience defining, building and supporting end‑to‑end analytics or AI products, from requirements gathering and design through to preproduction and production deployment.- Proven experience collaborating across business, IT and delivery team.Benefits- Hybrid work model.- Bonus on top of the gross salary.- Adaptable working hours from Monday to Thursday, and an intensive schedule on Fridays.- Intensive Summer Schedule during July and August.- Up to 20 days per year of 100% remote work from other locations.- Private Health and Life Insurance for employees and family.- 25 vacation days, plus December 24th and 31st off.- Optional Pension Plan.- Access to an online learning platform for continuous training.#J-18808-Ljbffr

📌 Specialist Data Science & Analytics (Madrid)
🏢 Vodafone Group
📍 Madrid