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