At NextLink, we are looking for a Data Scientist – Generative AI to join our team for a 6–12 month collaboration, working closely with one of our key clients in the pharmaceutical sector. You will join the iQAgent and Unstructured Data Pipeline area, focusing on improving the quality of an AI-based search and question-answering solution for enterprise documents. The role combines hands-on Data Science, applied Generative AI engineering, RAG and retrieval optimization, evaluation design, and technical guidance, with the goal of improving answer quality and generating evidence to support strategic decisions around the future search architecture.

Assess the existing iQAgent and document-processing pipeline, focusing on answer quality, prompt behavior, retrieval performance, agent workflows, and document extraction quality. Define and operationalize evaluation metrics, datasets, baselines, and repeatable testing procedures covering retrieval quality, faithfulness, grounding, source quality, and answer quality.



Review text and image extraction quality within the document pipeline and recommend practical improvements.

Strong

Python development and data analysis skills, with hands-on experience building or improving applied AI solutions. Comprehensive understanding of LLM and RAG evaluation, including metrics, test design, evaluation datasets, baselines, and reproducible measurement approaches.

Experience with feature extraction, metadata enrichment, and signal generation from unstructured documents to improve retrieval and answer quality. Strong analytical mindset and ability to use objective evidence and evaluation results to prioritize quality improvements. Excellent communication and presentation skills in English, both written and spoken, with the ability to communicate effectively with Product, Architecture, and Engineering stakeholders.

📌 Data Scientist - Proyecto Internacional (Barcelona)
🏢 BlackCube Labs
📍 Barcelona