Data Science Internship

Description

Job Summary: Cognodata is seeking a practice student with a strong technical background and intellectual curiosity to develop advanced agentic systems for scientific and mathematical research. Key Highlights: 1. Development of advanced agentic systems 2. Experimentation with cognitive architectures (LLMs) 3. Design of agents capable of reasoning and learning **Description:** ---------------- **Cognodata**, a leader in the Customer Science and Marketing Automation sectors, dedicated to generating business results through advanced customer data management, driving industry transformation and enhancing competitive positioning, is seeking **an intern** for its Madrid offices with a strong technical foundation and intellectual curiosity to work on developing advanced agentic systems applied to scientific and mathematical research. Main **responsibilities** include: * Automating research tasks (related work, hypothesis generation, relationship detection) * Proposing improvements or novel approaches to existing work * Experimenting with LLM-based cognitive architectures * Designing agents capable of reasoning, experimenting, and learning **Required skills:** Commitment Initiative Effective communication * ️ Autonomy Adaptability **We offer:** A dynamic position at a company eager to grow, develop, and achieve further success with your support. Additionally: * 6-month internship agreement, extendable up to 12 months. Starting in September * Professional career path: You decide how far you want to go! * Training: Udemy, LKD Learning, language platforms, etc. * Positive work environment * + Flexible working hours * Working hours: Full-time preferred * Remote work: Hybrid in Madrid (2 days onsite, 3 remote). **Want to learn more? Apply now!** **Requirements:** --------------- Final-year undergraduate or Master’s student in: Mathematics, Physics, Computer Science, or related fields Proficiency in Python (a test will be administered) Strong abstraction ability and structured thinking Interest in: Artificial Intelligence, Agent-Based Systems, AI Applications in Research Proactive attitude, eagerness to learn, and ability to work in teams Advanced English proficiency (mandatory) * Desirable (highly valued if you have it): Knowledge of logic, algebra, or computability theory Experience with: Local LLMs (e.g., Ollama), frameworks such as LangChain, AutoGen Interest in: Mathematical proofs, Category Theory, Solving complex problems