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Financial Operations Support: Assist in daily branch and corporate operations, gaining direct exposure to retail banking, credit analysis, and foreign trade workflows.

Corporate Administration: Support the Human Resources, Logistics, and Marketing departments in executing strategic initiatives aligned with NBE’s corporate objectives.

IT & Systems Integration: Collaborate with the technology and engineering teams to support digital banking platforms, telecommunications, and enterprise information systems.

Legal & Compliance Shadowing: Shadow the legal and compliance teams to understand the practical application of corporate governance and Central Bank of Egypt (CBE) regulations.

Performance & Assessment: Commit fully to the 3-month intensive training program, successfully passing all required evaluations, formal assessments, and technical interviews.

Target Segment: Exclusively open to active university students who are currently enrolled strictly in their 4th academic year (Senior Year).

Academic Grade: Must possess an outstanding academic track record with a strictly enforced minimum grade of “Very Good” (جيد جداً فأعلى) for all previous academic years.

Targeted Faculties: Must be studying Commerce (Accounting, Taxes, Finance, Marketing, Management, Foreign Trade); Business Administration (Banking, Credit, Finance, HR, MIS, Financial Institutions, International Business, Logistics, Marketing); Economics & Political Science (Economics, Statistics); Information Technology; Computers & Information; Computer Engineering (Computers, Telecommunications); or Law.

Required Documentation: Must submit a clear copy of a valid National ID and an official university Proof of Enrollment (بيان نجاح / إثبات قيد) explicitly detailing the current academic year and the overall grade for previous years.

Strict Anti-Nepotism Policy: Applicants must NOT have blood relatives at the bank up to the 3rd degree (Parents, Grandparents, Siblings, Uncles/Aunts, Nieces/Nephews) or in-laws up to the 2nd degree (Spouse’s Parents, Spouse’s Siblings, etc.).

Low Code/No Code Development: Design, build, and deploy strategic internal applications and automated workflows using Low-Code/No-Code platforms to support the specific technical needs of the legal team.

Project Execution: Contribute directly to strategic, high-impact functional and technical projects, applying academic computer science knowledge to solve real industry challenges.

Cross-Functional Collaboration: Collaborate seamlessly with professional corporate teams across VOIS to streamline legal operations and digitize manual processes.

Skill Building & Mentorship: Participate actively in training sessions, skill-building courses, and receive direct, ongoing mentorship from seasoned tech professionals and industry leaders.

Impactful Delivery: Work independently and within collaborative teams to deliver impactful digital outcomes that align with Vodafone’s global transformation strategy.

Academic Standing: Must be an actively enrolled university student officially scheduled to graduate in either 2027 or 2028.

Targeted Majors: Strictly pursuing a Bachelor’s degree in Computer Science, Computer Engineering, Networks, Business Informatics, or a closely related technical discipline.

Time Commitment: Must be fully available and completely committed to the extended 6-month internship duration, running from July to December 2026.

Behavioral Competencies: Possess excellent communication skills across all organizational levels, demonstrating strong innovation, self-motivation, and a results-oriented mindset.

Application Deadline: Submit your complete application profile strictly before the official deadline on May 17, 2026.

Application & Integration: Strategize, develop, implement, and maintain complex corporate business applications acting as an Application Manager, IT Operations Manager, or Project Manager.

Data & Analytics Execution: Break down massive corporate datasets into impactful, actionable results to drive Marketing Technology and Data/Insights product management.

AI & Machine Learning Implementation: Utilize fundamentals of machine learning, deep learning, NLP (Natural Language Processing), and Generative AI concepts to innovate potential future solutions.

Data Pipeline Construction: Code and manipulate data using Python, SQL, and Java to translate raw cloud and Big Data into robust, scaled analytic solutions.

Cross-Functional Leadership: Apply strong thinking and problem-solving skills to business processes, effectively communicating complex tech insights to influence executive stakeholders to take action.

Graduation Cohort: Must be actively graduating in either Winter 2026 or Summer 2027 with strong academic results.

Targeted Degrees: Exclusively open to students pursuing a BS in MIS, Computer Science, Data Engineering, Industrial/Computer/Systems Engineering, Information Security, Analytics, or a similar tech degree.

Technical Stack Proficiency: Demonstrate proven capability in programming, data handling, and deploying technologies like Python, SQL, Java, Cloud, and Big Data to add tangible business value.

Leadership Track Record: Exhibit proven leadership capabilities through active extra-curricular activities and a “can-do” attitude when handling multiple operational priorities.

Work Arrangement: Must commit to a full-time internship schedule that requires a minimum of 3 days of face-to-face physical presence in the Cairo office.

Subsurface Analysis: Translate theoretical geology, geophysics, and petroleum engineering knowledge into practical, data-driven solutions to enhance reservoir understanding.

Petrotechnical Software Mastery: Utilize the latest proprietary SLB digital software to model, simulate, and analyze complex geological and telecommunications datasets.

Cross-Functional Collaboration: Collaborate directly with senior petrotechnical engineers, data scientists, and clients to deliver high-impact insights on ongoing exploration and production projects.

Digital Innovation: Contribute to pioneering approaches that integrate computer science and telecommunications to optimize oilfield data acquisition and dynamic modeling workflows.

Academic Standing: Must have successfully completed at least two years of an undergraduate degree prior to the start of the internship.

Degree Specialization: Be actively enrolled in Geology, Geophysics, Petroleum Engineering, Computer Science, Telecommunications, or Computer Engineering.

Time Commitment: Be fully available to commit to an intensive, full-time 1-month program during either July or August 2026.

Geographic Availability: Must be physically capable of commuting and operating daily out of the SLB corporate offices located in either New Cairo or Masr El-Gedida.