Discover Graduate Program | Technology | Data Intelligence | 2027

Vodafone Group • Mobile Networks • Broadband • Python • 4 days ago
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Salary
≈ $46k – $111k per year (Estimated)
Location
In office (Egypt)
Seniority
Junior

Confirmed on the employer's own hiring board on Oct 24, 2026. First seen by Alion on Oct 12, 2026. Vodafone Group scores C on the Alion truth index.

Overview
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Vodafone Group

Vodafone is a British telecommunications group whose mobile business was launched in 1985 and demerged as an independent company in 1991, growing through the 1990s into one of the largest mobile operators in the world. After years of retrenchment it now concentrates on Germany, the United Kingdom following its merger with Three, and a set of other European markets, alongside a substantial African business built around M-Pesa mobile money and a business division selling connectivity and internet of things services to corporate customers. Headquartered in Newbury and listed in London, it operates the world's largest managed internet of things connectivity platform.
vodafone.com • HQ: Newbury, United Kingdom • IoT Connectivity • Broadband • Mobile Networks • 1001-5000 employees • Est. 1991
Tech stack of Vodafone Group

Together We Can

Discover global graduate program is a 12 month program to accelerated development that enables talented fresh graduates to develop and grow within Vodafone Egypt. Ultimately these extraordinary graduates become Vodafone’s future leaders through; customized job rotations in the Technology - Data Intelligencedepartment, challenging business exposure, continuous learning journey/development, & corporate networking.

Who can apply?

Fresh graduates with an outstanding academic record (Fresh Grads: any graduates of the year 2025, or 2026 or January 2027, as for males who completed their military service either in 2024 or 2025

A fresh graduate with diverse extracurricular & internship experiences

We are looking for candidates with a strong background in Machine Learning and Data Analytics, with a primary focus on AI, Generative AI, and Agentic AI.

Qualifications:

  • Strong knowledge of Machine Learning algorithms, statistical modeling, and data analysis techniques.
  • Hands-on experience with data preprocessing, feature engineering, model training, evaluation, and optimization.
  • Proficiency in Python and libraries such as Pandas, NumPy, Scikit-learn, and preferably PyTorch or TensorFlow.
  • Good understanding of data analytics, statistical analysis, data visualization, and extracting actionable insights from data.
  • Knowledge of LLMs, Generative AI, and Agentic AI systems.
  • Understanding of AI agents, tool/function calling, multi-step reasoning, and workflow orchestration.
  • Familiarity with frameworks such as LangChain, LangGraph, or similar tools.
  • Knowledge of RAG (Retrieval-Augmented Generation), vector databases, and prompt engineering.
  • Experience working with APIs, databases, and data processing pipelines.

Preferred Skills:

  • Hands-on experience developing AI agents or multi-agent systems and integrating them with external tools and enterprise systems.
  • Familiarity with AI model evaluation, monitoring, deployment, and performance optimization.
  • Strong analytical thinking, problem-solving, and communication skills.
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