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 pREF: /p /p #J-18808-Ljbffr

📌 Specialist Data Science & Analytics (Madrid)
🏢 _vois
📍 Madrid