Descripción de la oferta
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.
Flexible 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.
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