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.

Responsibilities

- Design and improve solutions that extract structured information from complex, unstructured documents.
- Compare different approaches (LLMs, multimodal models/VLMs, OCR, NLP, classic Machine Learning or deterministic rules) and choose the best one for each problem.
- Build representative datasets, define ground truth, and set metrics and acceptance criteria.
- Analyze errors and biases, and run experiments to confirm whether a new version really improves on the previous one.
- 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.
- Work with AI Engineers to turn successful prototypes into production-ready solutions.
- Work with Product and stakeholders to translate business needs into measurable problems and explain results, limitations and trade-offs.

Requirements

- 3 years of professional experience in Data Science, Machine Learning or Applied AI.
- Hands-on experience with LLMs and Generative AI, including prompt engineering and experimentation.




- 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.
- Strong evaluation and statistics skills: building datasets, defining ground truth and metrics, and judging whether an accuracy improvement is statistically credible.
- Experience working with unstructured or semi-structured data (documents, text, etc.).
- Fluent English.
- Ability to explain technical decisions to non-technical audiences, and enough business understanding to judge whether a document extraction is correct.

Nice to have

- Azure Document Intelligence or other OCR tools.
- Azure OpenAI or Amazon Bedrock.
- Document classification and information extraction.
- NER (Named Entity Recognition).
- Multimodal models or Vision-Language Models (VLMs) applied to documents.

What we offer?

⏱️ Flexible working hours.

? Hybrid work model, supporting a healthy work-life balance.

? Competitive salary and adaptable compensation plan.

? Private health insurance.

? Annual budget for training and professional development.

? Language courses.

? Participation in tech communities and industry events.

? Ongoing follow-up and professional support.





? Development and growth plan tailored to your goals.

At InnoIT, we believe talent grows in an environment where learning, innovation, and enjoying the journey go hand in hand.

? Join our team, take part in innovative projects, and keep growing alongside professionals passionate about technology.

Want to know more about us?

? https://www.inno-it.es/

? InnoIT Consulting Barcelona Meetup:

https://www.meetup.com/es-ES/Meetup-de-InnoIT-Consulting-en-Barcelona/

? InnoIT Consulting Madrid Meetup:

https://www.meetup.com/es-ES/meetup-de-innoit-consulting-en-madrid/

Diversity, Equity & Inclusion

At 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 evaluate all applications objectively and fairly, ensuring equal opportunities throughout the entire selection process. We are also committed to making the reasonable adjustments needed to ensure an accessible and inclusive experience.

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 – BARCELONA
🏢 Innoit Consulting
📍 Barcelona