Data Scientist - Document Intelligence

Capitole
Madrid, Spain
6 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience required
3 years minimum
Working hours
Shift work
Languages
English, Spanish

Tech stack

Artificial Intelligence Microsoft Azure Cyber Security Information Extraction Data Intelligence Python (Programming Language) Machine Learning Language Modeling Natural Language Processing Productivity Software Regression Testing Large Language Models
+7 more
Prompt Engineering Generative AI AI Platforms Semi-structured Data Information Technology Document Classification Software Version Control

Job description

DATA SCIENTIST - DOCUMENT INTELLIGENCEAbout the role We are looking for aData Scientistto join an international project focused on developing and improving AI-powered document processing solutions.In this role, you will work withLLMs, Vision-Language Models, OCR, NLP and Machine Learningto 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 withLLMs, multimodal models, OCR, NLP and Machine Learningto 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, reusablePythoncode 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 Have 3+ years of experiencein Data Science, Machine Learning or Applied AI.Hands-on experience withLLMs and Generative AI , including prompt engineering and experimentation.Strong understanding ofNLP, Machine Learning and statistics , including when classical or deterministic approaches are more appropriate than LLMs.Experience working withunstructured or semi-structured data , datasets, ground truth and evaluation metrics.StrongPythonskills and good practices around testing, version control and reproducible experimentation.Experience analysing results and translating findings into measurable improvements.FluentEnglishand 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 Have Experience withDocument Intelligence and OCR , particularlyAzure Document Intelligence .Experience with managed AI platforms such asAzure OpenAIorAmazon Bedrock .Experience with document classification, information extraction orNER .Experience applyingmultimodal or Vision-Language Modelsto document content and layouts.Hybrid model - 2 days on site per weekWhy join this project?People first- diverse and inclusive culture in aninternational environment .Work onhigh-impact Data & Insights initiativesacrossbusiness performance ,operations ,finance , andcommercial domains .Help shape howdata supports strategic decision-makingacross alarge international organisation .Explore the evolution ofAI-driven analytics ,productivity tools , anddata discoverability .?? Contribute toself-service analytics ,data products , andscalable reporting practices .Work closely withbusinessandsenior stakeholders , turningcomplex dataintomeaningful insights .High team stabilityandcollaborative culture .€** per yeartraining budgetandcontinuous learning opportunities .Flexible compensation model .Private health insuranceandbenefits package .?Flexible working hoursandhybrid model .?Wellhub : fitness, wellness, and mental health support.? Football and paddle tennis teams sponsored byCapitole .Team buildings ,global events , andstrong tech communities .?Want to know more about us?Clickhereand discover all the details.Curious about our culture?Check out what people are saying about us onGlassdoor .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 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.NDA signature required.

Requirements

Must Have 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. ? Nice to Have 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

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