Internship: Artificial Intelligence / Data Science in Madrid

Description

Job Summary: This internship offers hands-on experience in applied innovation, enabling students to explore the use of artificial intelligence in emerging sectors such as insurtech and eHealth. Key Highlights: 1. Participate in experimental and applied projects for technological solutions. 2. Acquire competencies in artificial intelligence applied to business. 3. Develop judgment to evaluate innovative tools and solutions. ORANGE ESPAGNE SAU **Pozuelo de Alarcón** (Madrid) T/2026/49826 What does the company offer? * **1** internship position at ORANGE ESPAGNE SAU for **6 months**, starting in **October 2026** * Monthly gross stipend of **500.00€** * 5 hours per day with flexible working hours * 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 Statistics, Mathematics, or Computer Engineering * **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, formed through the integration of Orange España and MásMóvil. The group drives innovation in digital services and new business models, exploring the potential of emerging technologies—especially artificial intelligence—across various sectors, including insurance and digital health. Its innovation environment enables students to participate in experimental and applied projects aimed at developing technology solutions with real-world impact. The internship will take place within the **Innovation, Partnerships & New Services** department, specifically in the Insurtech & eHealth team. This team focuses on identifying new business opportunities by leveraging emerging technologies, particularly artificial intelligence applied to the insurance sector. The working environment combines innovation, analysis of technological trends, and development of practical solutions oriented toward process automation. **Training Objectives** This program will enable students to acquire competencies in artificial intelligence applied to business: * **Foundations of applied AI:** Understand how artificial intelligence agents (AI Agents) function and their potential in real-world environments. * **AI Tools:** Familiarize yourself with various platforms and technologies used to build intelligent agents. * **Use Case Development:** Learn how to design and implement practical AI-based solutions for process automation. * **Process Automation:** Explore how intelligent agents can improve efficiency in the insurance sector. * **Technological Analysis:** Develop judgment to evaluate innovative tools and solutions. **Mentorship 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 learning of tools and project development. * Conduct continuous progress monitoring. * Provide periodic feedback to enhance competency development. Candidate Profile **Qualifications:** Bachelor’s degree in Engineering, Computer Science, Mathematics, Statistics, or related fields. **Competencies and skills:** * Interest in artificial intelligence and technological innovation. * Analytical ability and structured thinking. * Initiative and proactivity. * Capacity for continuous learning. **Languages:** * English (intermediate or higher level). **Preferred qualifications (positive factors):** * Knowledge of Python. * Familiarity with AI models and LLMs (e.g., ChatGPT or other tools). * Basic understanding of databases and data processing. * Proficiency in office productivity tools. This internship offers hands-on experience in applied innovation, enabling students to explore the use of artificial intelligence in emerging sectors such as insurtech and eHealth. Throughout the program, students will develop competencies in technological analysis, solution development, and process automation—preparing them for future challenges in digital and innovation-driven environments.