Data/AI Engineer Intern (6 months)

Join Omaha Insights as a Data/AI Engineer Intern for a 6-month hands-on experience at the intersection of data & AI engineering, finance, and software engineering. You'll work within the R&D team, focusing on data production and control, and turning raw accounting figures into valuable insights. This role offers real autonomy, a collaborative environment, access to cutting-edge technology, and flexibility regarding remote work.

• Contribuer à la mise en production des modèles de langage (LLMs) pour mieux comprendre et classifier les données.
• Normaliser les données provenant de plusieurs normes comptables (30+ pays) et construire des cas d'or pour le contrôle de qualité.
• Collaborer avec les équipes Produit/Développement pour créer des fonctionnalités et améliorer l'expérience utilisateur de la plateforme.

We're prioritizing technical depth and independent judgment over a specific pedigree. Because this role has real latitude to shape our data methods, we are looking for someone who can propose a direction, not just execute a spec:

• **Strong Python fundamentals (Object-oriented programming, clean-coding principles), comfortable owning a module rather than a script,**
• **Genuine ML/data science depth (classification, embeddings, evaluation methodology), you understand why a technique works, not just how to call it,**
• **Evaluation rigor: you instinctively want to know if a change actually improved precision/recall/F1 before you trust it, and you build the benchmark to check rather than eyeballing it,**
• Comfortable proposing technical direction: this is exploratory work, we want someone who pushes back with "have you considered X" rather than waiting to be told what to build,
• Strong communication skills: you'll be expected to explain your reasoning and flag uncertainty proactively, not wait to be asked,
• Nice to have: exposure to LLMs, agentic workflows or RAG. We’re expecting curiosity and willingness to learn and experiment.
• Nice to have: prior finance/accounting experience.