Internship: Data Analytics / Artificial Intelligence in Madrid

Description

Job Summary: Internship in the Operations, Lastmile area, where students will participate in strategic projects applying advanced analytics and artificial intelligence to optimize efficiency and enhance customer experience. Key Highlights: 1. Participation in strategic digital transformation projects 2. Acquisition of competencies in data analytics and applied AI 3. Specialized mentoring and continuous follow-up ORANGE ESPAGNE SAU **Pozuelo de Alarcón** (Madrid) T/2026/49830 What does the company offer? * **1** internship position at **ORANGE ESPAGNE SAU**, lasting **6 months**, starting in **October 2026** * Monthly gross stipend of **500.00€** * 5 hours per day, flexible working schedule * Hybrid remote/in-person internship * START program * Internship center in Spain: Paseo del Club Deportivo, 1, Edificio 9 Pozuelo de Alarcón (Madrid) What profile is the company seeking? * **University undergraduate or master’s student:** Bachelor’s degree in Data Science and Engineering, Mathematics, or Statistics * **Language skills:** English level C1. Competency Assessments As part of the selection process, you will be required to complete the following assessments: * English language test Proposed Training Plan **MasOrange** is Spain’s leading telecommunications operator, resulting from the integration of Orange España and MásMóvil. The group drives digital transformation through the application of advanced analytics and artificial intelligence to improve operational processes and customer experience. Its environment enables students to participate in strategic projects where technology, business, and data analysis converge. The internship will take place within the **Operations** area, specifically in the Lastmile department, focused on the provision and installation of telecommunications services. The team works on improving operational processes using advanced analytics and artificial intelligence, aiming to optimize efficiency and enhance customer experience. **Training Objectives** The program will enable students to acquire competencies in operations-focused data analytics: * **Understanding of the Operations Area:** Grasp how provisioning and installation processes function in telecommunications. * **Project Management:** Learn how initiatives are driven and managed within an organization. * **Advanced Analytics:** Identify improvement opportunities through data analysis. * **AI Application:** Explore the use of artificial intelligence to transform operational processes. * **Cross-functional Collaboration:** Develop collaboration skills with various technical and business departments. **Mentoring and Follow-up** The intern will be assigned a specialized mentor who will: * Define a tailored training plan aligned with the intern’s profile. * Support the intern in developing analyses and projects. * Conduct continuous learning follow-up. * Provide periodic feedback to strengthen competency development. **Candidate Profile** **Qualifications:** Students in their final undergraduate or master’s year, or those completing their Final Degree Project (TFG) or Final Master’s Project (TFM), in Engineering, Statistics, Mathematics, Big Data, Business Administration and Management (with specialization in Business Analytics or Data Science), or related fields. **Competencies and Skills:** * Interest in data analysis and artificial intelligence. * Analytical ability and structured thinking. * Initiative and proactivity. * Teamwork capability. **Languages:** * Intermediate/advanced English proficiency. **Preferred Qualifications (positively valued):** * Knowledge of machine learning. * Experience with Business Intelligence tools (Power BI, Qlik, Looker, etc.). * Knowledge of databases and Big Data technologies. * Basic understanding of project management. This internship offers hands-on experience in digital transformation within the Operations area, enabling students to apply advanced analytics and artificial intelligence in real-world contexts. Throughout the program, students will develop competencies in data analysis, process improvement, and cross-functional collaboration, preparing them for future challenges in technological and business environments.