DATA SCIENTIST – DOCUMENT INTELLIGENCE

Capitole; Barcelona; Híbrido; EUR 65.000 - 95.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Private health insurance

Flexible working hours

Hybrid model

Descripción de la vacante

Capitole is seeking a Data Scientist to join an international project focused on AI-powered document processing. You will work with LLMs, OCR, NLP and ML to turn unstructured business documents into structured data, collaborating with AI and product teams to deliver measurable business value.

The role emphasizes hands-on experimentation, prompt engineering and building production-ready solutions with Python, while communicating findings to technical and non-technical stakeholders.

Formación

• 3+ years of experience in Data Science, ML or Applied AI.
• Hands-on experience with LLMs and Generative AI.
• Strong Python skills and testing/version control.
• Experience with unstructured data and evaluation metrics.
• Fluent English and Spanish; able to communicate to technical and non-technical stakeholders.
• Degree in CS/AI/Data Science/Mathematics/Engineering or related field.
• Experience with Document Intelligence and OCR, especially Azure Document Intelligence.
• Experience with Azure OpenAI or Amazon Bedrock.
• Experience with multimodal or Vision-Language Models.

Responsabilidades

• Design and improve AI solutions for document extraction, classification, validation and transformation.
• Experiment with LLMs, multimodal models, OCR, NLP and ML 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 experiments into production-ready solutions with AI and Data Engineers.
• Work with Product and business stakeholders to define use cases and success criteria.
• 3+ years of experience in Data Science, ML or Applied AI.
• Hands-on experience with LLMs and Generative AI.
• Strong understanding of NLP, ML and statistics.

Conocimientos

Python

LLMs

NLP

Multimodal models

Prompt engineering

Experimentation

Statistics

Communication

Version control

Reproducible experiments

Educación

CS/AI/Data Science degree

Herramientas

Azure Document Intelligence

Azure OpenAI

Amazon Bedrock

OCR

Descripción del empleo

About the role

We 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 do

• Design 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.
• 3+ 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.
• Experience 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 week

Why 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.
• €1200 per year training budget and continuous learning opportunities.
• 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.

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.

Information Security Notice

• The employee will have access to confidential information related to Capitole and the assigned project.
• Compliance with internal security and information protection policies is mandatory.