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
REF: 281931
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