ph3Role Purpose /h3 ul liIdentify 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. /li liBuild 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). /li liBuild and deliver automations which will help digital transformation of stakeholders. /li liPartner with Product Manager delivery teams within VOIS to deliver analytics solutions. /li liCreate, own and maintain reusable data science products and services that can be deployed across Vodafone. /li liDrive innovation by employing new analytical techniques. /li /ul h3Key accountabilities and decision ownership /h3 ul liStakeholder 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. /li liEnsure best‑practices and standards for software development in Data Science are followed across the wider team. /li liOwn specification and delivery of analytical products and services. /li liManage analytics portfolio and products by continuous improvement of existing products and developing new products based on stakeholder needs. /li liDevelop new analytics solutions through descriptive, GenAI, predictive and/or prescriptive analytics techniques. /li liManage delivery through partner organisation in DAIS (Data Analytics Integrated Services in Vodafone Shared Services). /li liMaintain data sources and models up to date.



/li liMaintain up to date knowledge and emerging trends in analytics and challenge the status quo. /li /ul h3Key performance indicators /h3 ul liValue created from delivery of analytics products and projects. /li liEfficiency of delivery (return on investment) given by the standardization of the solutions delivered. /li liRate of innovations introduced to the company (focus areas of ML/GenAI/Automation). /li /ul h3Core competencies, knowledge and experience /h3 ul liExperience in agile way of working. /li liStrong communication skills with ability to influence senior stakeholders. /li liStorytelling with data. /li /ul h3Must have technical / professional qualifications /h3 ul liHands‑on proficiency in Python for data analysis, automation, and AI/ML solution development, following software engineering best practices (version control, modular design, reusable components). /li liPractical experience with any Cloud (GCP, Azure, AWS). /li liWorking knowledge of Machine Learning and GenAI solutions. /li liExperience defining, building and supporting end‑to‑end analytics or AI products, from requirements gathering and design through to preproduction and production deployment. /li liProven experience collaborating across business, IT and delivery team. /li /ul h3Benefits /h3 ul liHybrid work model. /li liBonus on top of the gross salary. /li liFlexible working hours from Monday to Thursday, and an intensive schedule on Fridays. /li liIntensive Summer Schedule during July and August. /li liUp to 20 days per year of 100% remote work from other locations. /li liPrivate Health and Life Insurance for employees and family. /li li25 vacation days, plus December 24th and 31st off. /li liOptional Pension Plan. /li liAccess to an online learning platform for continuous training. /li /ul /p #J-18808-Ljbffr

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