Role Purpose
Se anima a todos los posibles solicitantes a que se desplacen y lean la descripción completa del puesto antes de presentar su candidatura.

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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 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.

- 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. xhfqzwm

- Access to an online learning platform for continuous training.

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