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Manager, Big Data and Special Projects

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Vodafone

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Location:
Tanzania, United Republic of , Iringa

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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Job Description:

At Vodafone, we’re not just shaping the future of connectivity for our customers – we’re shaping the future for everyone who joins our team. When you work with us, you’re part of a global mission to connect people, solve complex challenges, and create a sustainable and more inclusive world. If you want to grow your career whilst finding the perfect balance between work and life, Vodafone offers the opportunities to help you belong and make a real impact.

Job Responsibility:

  • 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

Requirements:

  • 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.

Additional Information:

Job Posted:
May 03, 2026

Employment Type:
Fulltime
Work Type:
On-site work
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