Role Purpose

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- 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

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- 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

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- 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

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- Experience in agile way of working

- Strong communication skills with ability to influence senior stakeholders

- Storytelling with data

Must Have Technical / Professional Qualifications

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- 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 xqbhyrx 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

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- Hybrid work model

- Bonus on top of the gross salary

- Versátil 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

REF: 281931

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