Role purpose:

• Creating Advanced Machine Learning systems for product monetization, productivity and improved CX.

• Developing big data product propositions and manage their end to end (E2E) execution.

• 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 or 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.

• Champion development of machine learning models for various areas of the business on the Big Data & AI Platform.

• Communicate analytics and ML model use cases and results to business users

Core competencies, knowledge and experience

• Excellent analytical, logical and casual reasoning skills.

• Excellent communication and presentation skills

• Strong stakeholder management skills

• Ability to anticipate customer, competitor and market dynamics and propose commercial actions proactively.

• Able to challenge the status quo

Must have technical/professional qualifications:

• 4+ 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.

• 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)

• Project knowledge and experience would be advantageous.

Budget owned:

Key performance indicators:

• Number of Initiatives powered by ML

• Timely delivery of the Big data and ML plans as specified on the roadmap

• Revenue uplift and customer conversion rates

• Quality of support and stakeholder alignment

Not a perfect fit?

Worried that you don’t meet all the desired criteria exactly? At Vodafone we are passionate about empowering people and creating a workplace where everyone can thrive, whatever their personal or professional background. If you’re excited about this role but your experience doesn’t align exactly with every part of the job description, we encourage you to still apply as you may be the right candidate for this role or another opportunity.

• Creating Advanced Machine Learning systems for product monetization, productivity and improved CX.
• Developing big data product propositions and manage their end to end (E2E) execution.
• 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
• Identify, Analyse and Interpret trends or 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.
• Champion development of machine learning models for various areas of the business on the Big Data & AI Platform.
• Communicate analytics and ML model use cases and results to business users

• Excellent analytical, logical and casual reasoning skills.
• Excellent communication and presentation skills
• Strong stakeholder management skills
• Ability to anticipate customer, competitor and market dynamics and propose commercial actions proactively.
• Able to challenge the status quo
• 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)

• 4+ 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.
• Significant knowledge of customer driven marketing techniques and processes
• Project knowledge and experience would be advantageous.