Data Scientist --We're looking for a hands-on Data Scientist to join an Applied AI project focused on intelligent document processing. The goal is to turn complex, unstructured business documents (multi-page files, tables, line items and variable layouts) into structured, reliable data the business can use. The role combines traditional Data Science with Generative AI.

The key is choosing the right approach for each problem and proving with data that it works. Compare different approaches (LLMs, multimodal models/VLMs, OCR, NLP, classic Machine Learning or deterministic rules) and choose the best one for each problem. Build automated evaluations and regression tests so performance doesn't drop when models or pipelines change.

Develop clean, testable and reproducible Python code for data preparation, validation and post-processing. Document experiments, configurations and decisions. Requirements3 years of professional experience in Data Science, Machine Learning or Applied AI.Strong Python skills and good development practices: testing, Git, code review and reproducible experiments.

Solid NLP and Machine Learning knowledge, with the judgment to know when not to use an LLM.Experience working with unstructured or semi-structured data (documents,



text, etc.).Fluent English.

Azure

OpenAI or Amazon Bedrock. Hybrid work model, supporting a healthy work-life balance. Private health insurance. Annual budget for training and professional development. Join our team, take part in innovative projects, and keep growing alongside professionals passionate about technology.

Consulting Barcelona Meetup: Consulting Madrid Meetup: Equity & InclusionAt InnoIT, we actively promote diversity, equity, and inclusion. We welcome people of all profiles, experiences, and career paths, and we especially encourage participation from groups traditionally underrepresented in the tech sector. We do not discriminate on the basis of gender, age, origin, nationality, sexual orientation, gender identity or expression, religion, disability, or any other condition protected by applicable law.

We work to build a diverse, respectful, and inclusive workplace, where everyone has equal opportunities for growth, development, and professional recognition. If you're interested in working in an international environment with modern technologies, we'd love to meet you!

📌 Data Scientist - English (Barcelona)
🏢 remoteo
📍 Barcelona