Trainee in Data & AI

About the Role

Obtenga más información sobre las tareas generales relacionadas con esta oportunidad a continuación, así como sobre las habilidades requeridas.

Are you looking for a place where your analytical skills can actually impact real-world financial technology? We are looking for a driven and curious Trainee in Data & AI to join our team.

This isn't your typical "coffee-fetching" internship. From day one, you’ll dive headfirst into our modern data stack, collaborating directly with senior engineers and analysts. You’ll gain hands‑on experience managing, cleaning, and transforming critical information into actionable insights, all while mastering best practices in a fast‑paced fintech environment.

What You’ll Do

As a Trainee in Data & AI, you will be an active contributor to our team’s core mission. You will:

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• Dive into the Data: Assist with data collection, rigorous cleaning, and complex analysis to ensure our organization moves forward with data-driven confidence.
  
• Guard Data Quality: Support data quality checks and reporting, becoming a key player in maintaining our high standards of data integrity.
  
• Build & Maintain: Help document scalable processes and monitor basic data pipelines, keeping our systems healthy and efficient.
  
• Collaborate Across Teams: Work side‑by‑side with data engineers and business analysts on cross-functional projects.
  
• Level Up Your Tech Stack: Fast-track your learning in core industry tools and concepts, including SQL, Python, Git, and modern data warehousing.
  

What You Bring

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• The Background: You are currently pursuing a degree in Computer Engineering, Data Science, or a related technical field.
  
• The Mindset: You possess strong analytical skills, a sharp eye for detail, and a genuine eagerness to learn and adapt within a fast-moving team.
  
• The Essentials: Basic, foundational knowledge of Excel, SQL, and Python (university projects count!).
  
• Communication: Fluency in English (both written and spoken), as you’ll be working in an international environment.
  

Nice to Have

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• Prior exposure to data libraries and tools like Pandas, Jupyter Notebooks, or Git.
  
• A basic understanding of relational databases and architecture.
  
• Familiarity or curiosity regarding containerization concepts (like Docker).
  
• A budding interest in data governance and data engineering practices.
  

Benefits

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• Join a culture that celebrates creativity and welcomes innovative, disruptive ideas, empowering you to make a real impact.
  
• Immerse yourself in a fast‑paced, diverse workplace where you'll have the chance to collaborate and learn from specialists across various fields, fostering personal and professional growth.
  
• Embrace automation and seamless tech integration in your workflows, while our platform boosts operations through tech leverage, ensuring you stay ahead of the curve and updated with new technologies.
  
• Work in a comfortable, ergonomic environment within our spacious, modern offices where you can enjoy daily fresh fruit and coffee! xcskxlj
  
• Monthly afterworks organised by the company to unwind and strengthen team connections.
  

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