About the job
Role Purpose
Role Purpose & Accountabilities
Co-creating Advanced Machine Learning products that drive revenue, reduce cost and improve CX.
Developing big data monetization propositions and manage their end-to-end (E2E) execution.
Delivering actionable insights to support and contribute toward the delivery of CVM objectives and targets.
Contributing to the wider community to enable an Advanced Machine Learning capability across Vodafone globally
Key Accountabilities
Identify Analyze and Interpret trends or patterns in complex data sets.
Support the extraction of data (ETL) from multiple sources.
E2E go to market execution for big data and special projects propositions.
Prepare analytics and ML model results to business users.
Development of machine learning models for various areas of the business on the Big Data Platform.
Core Competencies And Knowledge
Core Competencies, Knowledge & Professional Qualifications
Excellent analytical, logical and casual reasoning skills.
Excellent communication skills
Strong stakeholder management skills
Ability to anticipate customer, competitor and market dynamics
Able to challenge the status quo
Technical/professional Qualifications And Experience
2+ years of experience in similar big data and data science role.
Bachelor’s Degree in quantitative fields like Mathematics, Statistics, Economics, Computer Science or Engineering, Artificial Intelligence, Data Journalism, or related fields
Significant knowledge of customer driven marketing techniques and processes
Proficiency in Python and associated data Science ecosystem, Machine Learning and Experiments Design.
Expertise in data manipulation: use of structured data tools (e.g., SQL), & unstructured data tools and platforms (e.g., Hadoop, Spark, NoSQL)
Project knowledge and experience would be advantageous.
Skills
Modern Marketing Leadership
Data Analytics and Insights
CVM Campaign Development and Management
Always on Marketing
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