Description
**Start Building Your Professional Career at Mapfre!**
With us, you can become part of an international environment where you’ll innovate by participating in global projects focused on the latest technological trends. All this within a flexible and agile setting surrounded by outstanding professionals from around the world… Are you ready?
Our culture strongly reflects our purpose: *We Care About What Matters to You*, meaning caring for our customers, colleagues, and society. These principles guide all our actions and decisions. Join our team so that, with ambition and a results-oriented focus, we go beyond expectations! *Together, we are and do* ***Mapfre***.
**What We Offer You:**
* **Learn by Doing**: Apply the knowledge you’ve acquired at university and develop your skills in a professional environment—learning from top technology professionals and our work methodologies.
* Acquire new technical skills related to your specialization, while practicing communication and teamwork abilities to achieve your goals.
* Work in a fully collaborative and international environment.
**Internship Details:**
* **Format**: In-person.
* **Location**: Calle de María Tubau 10, Madrid
* **Duration**: Minimum 6 months, with the possibility of extending up to one year.
* **Stipend**: €600–€800 gross per month, depending on working hours.
* **Schedule**: Monday to Friday, 9:00–14:00 / 8:00–15:00 (5 or 7 hours/day).
* **Start Date**: September 2026\.
**What Will You Do During This Internship?**
From the Core team, we explore new solutions for the diverse needs across Mapfre’s business areas. You will participate in:
* **Research and Continuous Learning**: Stay updated on the latest advances in AI—including machine learning, deep learning, generative AI, and AI agents. Understand industry trends and how emerging technologies can be applied within the company.
* **AI Capability Development**: Design and build functional prototypes demonstrating AI’s ability to solve specific problems. Work on conceptualizing archetypes—i.e., models or design patterns that can be replicated or adapted to address various problem types.
* **Use Case Feasibility Demonstration**: Collaborate with multidisciplinary teams to identify potential AI use cases within the company. Develop demonstrations showing how AI can deliver value and solve real-world problems across different business areas. Evaluate the technical feasibility and return on investment of proposed use cases.
* **AI Experimentation**
* **Development and Programming**: Write high-quality code to develop efficient AI algorithms. Use specialized AI frameworks and libraries such as TensorFlow, PyTorch, Keras, etc. Implement and fine-tune machine learning models and neural networks.
* **Documentation and Presentation**: Thoroughly document development processes and outcomes. Prepare both technical and non-technical presentations to communicate findings and progress to colleagues and stakeholders.
**Technologies You’ll Learn:**
* Frameworks
* AI Libraries
**Who Are We Looking For?**
* **Students**: Advanced undergraduates or recent graduates in Mathematics, Physics, Telecommunications, or related fields. Specific coursework or specialization in Artificial Intelligence, Data Science, STEM, or related disciplines is highly valued.
* **English**: Minimum B2 level\. Technical English proficiency is preferred—to read and understand specialized documentation and communicate effectively in a global environment.
* **Technical Knowledge**: Data structures and object-oriented programming principles. Familiarity with machine learning theory, deep learning, and statistical modeling. Understanding of version control systems such as Git.
* **Proficiency in Specific Applications**: Python, Excel, Word, and PowerPoint. Familiarity with AI frameworks and libraries such as TensorFlow, PyTorch, Keras, Scikit\-learn, among others.
* **Competencies/Skills**: Ability to analyze and visualize large volumes of data. Aptitude for solving complex problems using AI techniques. Intellectual curiosity and passion for AI technology and continuous learning. Keeping up-to-date with the latest research and emerging technologies.
**Which Capabilities Do We Value—and Which Will You Practice?**
A curious mindset, eagerness to learn, and teamwork orientation. Clear communication, proactivity, critical thinking, and analytical capability. Above all: an open mind, enthusiasm, and commitment to the program️.
**Diverse, Yet Unique!**
*All selection processes conducted at Mapfre adhere strictly to the principle of EQUAL OPPORTUNITY and NON-DISCRIMINATION. Final candidate selection is based solely on individual aptitudes and personal and professional merit. We foster inclusive workplaces that value diversity and prohibit discrimination on grounds of gender, race, ideology, religion, sexual orientation, age, nationality, disability, or any other personal, physical, or social condition.*
*By applying to this position, you acknowledge and consent to Mapfre’s processing of the personal data you have voluntarily provided through this platform. If you submit personal data of third parties other than yourself, you warrant that you have obtained their prior consent for sharing such data and have duly informed them.* *Mapfre, as data controller, will process your data exclusively to manage your participation in recruitment processes, which may include profiling and automated decision-making. To manage your participation across recruitment processes in Mapfre Group companies, subsidiaries, affiliates, and Fundación Mapfre, your data may be shared with these entities and subject to international transfers.* *Additional information on data protection at Mapfre can be found at* *https://www.mapfre.com/corporativo\-es/clausulas/RRHHseleccion.pdf* *where we indicate how to exercise your rights of access, rectification, erasure, restriction, objection, and data portability.* *To explore more job opportunities, please visit WORK AT MAPFRE and register on our employment portal.*