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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist - Document Intelligence - **Company:** Capitole - **Location:** Zaragoza, Spain - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Business Analytics Applications, Microsoft Azure, Information Extraction, Data Intelligence, Python (Programming Language), Machine Learning, Language Modeling, Natural Language Processing, Productivity Software, Regression Testing, Large Language Models, Prompt Engineering, Generative AI, AI Platforms, Semi-structured Data, Information Technology, Document Classification, Software Version Control - **Published:** September 14, 2026 - **Apply:** https://www.buscojobs.com.es/data-scientist-document-intelligence-en-zaragoza-ID-371307028 ## About the Role What you'll doDesign and improve AI solutions for document extraction, classification, validation and transformation.Experiment with LLMs, multimodal models, OCR, NLP and Machine Learning to identify the best approach for each use case.Develop prompts, structured outputs, validation and post-processing logic for complex document formats.Build datasets and evaluation frameworks to measure accuracy and continuously improve solution performance.Develop automated evaluations and regression tests to ensure robustness when models or pipelines change.Write clean, reusable Python code and translate successful experiments into production-ready solutions with AI and Data Engineers.Work with Product and business stakeholders to define use cases, success criteria and measurable AI solutions.Must Have3+ years of experience in Data Science, Machine Learning or Applied AI.Hands-on experience with LLMs and Generative AI, including prompt engineering and experimentation.Strong understanding of NLP, Machine Learning and statistics, including when classical or deterministic approaches are more appropriate than LLMs.Experience working with unstructured or semi-structured data, datasets, ground truth and evaluation metrics.Strong Python skills and good practices around testing, version control and reproducible experimentation.Experience analysing results and translating findings into measurable improvements.Fluent English and spanish and ability to communicate technical concepts to both technical and non-technical stakeholders.Degree in Computer Science, AI, Data Science, Mathematics, Engineering or a related field.Nice to HaveExperience with Document Intelligence and OCR, particularly Azure Document Intelligence.Experience with managed AI platforms such as Azure OpenAI or Amazon Bedrock.Experience with document classification, information extraction or NER.Experience applying multimodal or Vision-Language Models to document content and layouts.Hybrid model - 2 days on site per weekWhy join ## Description DATA SCIENTIST - DOCUMENT INTELLIGENCELa siguiente información ofrece un resumen de las habilidades, cualidades y cualificaciones necesarias para este puesto.About the roleWe are looking for a Data Scientist to join an international project focused on developing and improving AI-powered document processing solutions.In this role, you will work with LLMs, Vision-Language Models, OCR, NLP and Machine Learning to transform complex unstructured business documents into structured data.You will collaborate with AI Engineers, Data Engineers, Product teams and business stakeholders to develop and evaluate solutions that deliver measurable business value.If you enjoy solving complex Data Science challenges and experimenting with AI to solve real business problems, this could be your next challenge!What you'll doDesign and improve AI solutions for document extraction, classification, validation and transformation.Experiment with LLMs, multimodal models, OCR, NLP and Machine Learning to identify the best approach for each use case.Develop prompts, structured outputs, validation and post-processing logic for complex document formats.Build datasets and evaluation frameworks to measure accuracy and continuously improve solution performance.Develop automated evaluations and regression tests to ensure robustness when models or pipelines change.Write clean, reusable Python code and translate successful experiments into production-ready solutions with AI and Data Engineers.Work with Product and business stakeholders to define use cases, success criteria and measurable AI solutions.Must Have3+ years of experience in Data Science, Machine Learning or Applied AI.Hands-on experience with LLMs and Generative AI, including prompt engineering and experimentation.Strong understanding of NLP, Machine Learning and statistics, including when classical or deterministic approaches are more appropriate than LLMs.Experience working with unstructured or semi-structured data, datasets, ground truth and evaluation metrics.Strong Python skills and good practices around testing, version control and reproducible experimentation.Experience analysing results and translating findings into measurable improvements.Fluent English and spanish and ability to communicate technical concepts to both technical and non-technical stakeholders.Degree in Computer Science, AI, Data Science, Mathematics, Engineering or a related field.Nice to HaveExperience with Document Intelligence and OCR, particularly Azure Document Intelligence.Experience with managed AI platforms such as Azure OpenAI or Amazon Bedrock.Experience with document classification, information extraction or NER.Experience applying multimodal or Vision-Language Models to document content and layouts.Hybrid model - 2 days on site per weekWhy join this project?People first - diverse and inclusive culture in an international environment.Work on high-impact Data & Insights initiatives across business performance, operations, finance, and commercial domains.Help shape how data supports strategic decision-making across a large international organisation.Explore the evolution of AI-driven analytics, productivity tools, and data discoverability.Contribute to self-service analytics, data products, and scalable reporting practices.Work closely with business and senior stakeholders, turning complex data into meaningful insights.High team stability and collaborative culture.€**** per year training budget and continuous learning opportunities.Flexible compensation model.Private health insurance and benefits package.Flexible working hours and hybrid model.Wellhub: fitness, wellness, and mental health support.Football and paddle tennis teams sponsored by Capitole.Team buildings, global events, and strong tech communities.Want to know more about us?Click here and discover all the details.Curious about our culture?Check out what people are saying about us on Glassdoor.We know that not every candidate will meet 100% of the requirements.If your profile doesn't match perfectly but you believe you can add value, we'd still love to hear from you.Ready for the challenge?Apply now!Empowering People, Unlocking Innovation.Information Security NoticeThe employee will have access to confidential information related to Capitole and the assigned project.Compliance with internal security and information protection policies is mandatory.xsgfvudNDA signature required. ## Related Videos - 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