> Markdown version of [/jobs/ext/2665066-ai-data-scientist](https://www.wearedevelopers.com/jobs/ext/2665066-ai-data-scientist). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Data Scientist - **Company:** Ai-powered - **Location:** Barcelona, Spain - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Microsoft Azure, Python (Programming Language), Machine Learning, Large Language Models, Prompt Engineering, AI Platforms - **Published:** September 1, 2026 - **Apply:** https://www.jobleads.com/es/job/e618cde4ad8577c93327f27003b87512b ## About the Role * 3+ years in data science, machine learning or applied AI. * Hands-on experience with LLMs, prompt engineering and experimentation. * Strong NLP/ML fundamentals and the judgement to know when classical methods outperform LLMs. * Solid statistics - enough to judge whether a performance change is real. * Experience with unstructured or semi-structured documents. * Python skills that make your work reproducible and easy for engineers to productionise. * Ability to explain technical trade-offs clearly. * Comfortable diving into business domains to understand what "correct extraction" actually means. ## Description * Develop and optimise prompts, structured outputs, validation logic and post-processing components. * Compare LLMs, multimodal models, OCR and deterministic approaches to select the right solution for each use case. * Build representative datasets, define ground truth and establish robust evaluation metrics. * Run experiments, analyse failure patterns and iterate to improve accuracy and reliability. * Create reproducible Python workflows and contribute reusable components for extraction, validation and data prep. * Collaborate with Product, AI Engineering and business teams to translate requirements into measurable data science problems. * Communicate findings clearly to both technical and non-technical audiences. ## Related Videos - [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning) - [Inside the AI Revolution: How Microsoft is Empowering the World to Achieve More](https://www.wearedevelopers.com/videos/869-inside-the-ai-revolution-how-microsoft-is-empowering-the-world-to-achieve-more) - [This App Reached 10,000 Users in One Week. Here's How.](https://www.wearedevelopers.com/videos/100329-this-app-reached-10-000-users-in-one-week-here-s-how) - [Developer Tools for Microsoft Azure](https://www.wearedevelopers.com/videos/450-developer-tools-for-microsoft-azure) - [AI for Enterprise Developers - Dr. Damir Dobric](https://www.wearedevelopers.com/videos/1831-ai-for-enterprise-developers-dr-damir-dobric) - [From AI Assistance to Agentic Systems: Scaling Sovereign AI in Banking](https://www.wearedevelopers.com/videos/100070-from-ai-assistance-to-agentic-systems-scaling-sovereign-ai-in-banking) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it)