Role Purpose & Key Responsibilities

• Creating AI systems for product monetization, productivity and customer service excellence
• Implementing big data projects and data science initiatives
• Delivering actionable insights to support and contribute toward the delivery of business objectives and targets
• Contributing to the wider AI community to support and advance Machine Learning capability across Vodafone globally

Key Accountabilities And Decision Ownership

• Identify, analyse and interpret trends and patterns in complex data sets
• Support the extraction of data (ETL) from multiple sources to build domain-oriented lake houses
• Manage E2E go to market execution of big data, AI and special projects initiatives
• Implement machine learning models for various areas of the business on MLOPs
• Communicate analytics and ML model use cases and results to business users

Qualifications, Competencies, Knowledge And Experience

• 2+ years of experience in similar big data and data science role
• Degree in quantitative fields like Mathematics, Statistics, Economics, Actuarial science, Computer Science or Engineering, Artificial Intelligence or related fields
• 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) and unstructured data tools and platforms (e.g., Hadoop, Spark)
• Project knowledge and experience would be advantageous
• Excellent analytical and causal reasoning skills
• Excellent communication and presentation skills
• Strong data management skills
• Ability to anticipate customer, competitor and market dynamics and propose commercial actions proactively

• Identify, analyse and interpret trends and patterns in complex data sets
• Support the extraction of data (ETL) from multiple sources to build domain-oriented lakehouses
• Manage E2E go to market execution of big data, AI and special projects initiatives
• Implement machine learning models for various areas of the business on MLOPs
• Communicate analytics and ML model use cases and results to business users

• Python
• Machine Learning
• Experiments Design
• SQL
• Hadoop
• Spark
• Analytical reasoning
• Causal reasoning
• Communication skills
• Presentation skills
• Data management skills

• Degree in quantitative fields like Mathematics, Statistics, Economics, Actuarial science, Computer Science or Engineering, Artificial Intelligence or related fields
• Knowledge of customer driven marketing techniques and processes