Data Engineer (NLP & Unstructured Data)

For an important mission with a major Life Sciences client, you will join a project team working on generative AI solutions to answer concrete business needs: automation, smart search, and value creation from unstructured data (documents, scans, emails, multimedia).

Your role will be key in designing and deploying strong data pipelines to ingest, process, enrich and serve different types of content for NLP, RAG and analytics use cases.

You will join our Data & AI practice and work with technical and business experts to build innovative tools that improve automatic writing, information search and advanced analysis, while ensuring security and data compliance.

• University degree or engineering school in computer science, mathematics, data science or similar.
• At least 5 years of experience in similar environments.
• Strong knowledge of Python and SQL; experience with document pipelines and OCR.
• NLP experience for unstructured data (NER, summarization, semantic search).
• Experience building RAG solutions., * Knowledge of knowledge graphs and query languages (SPARQL, Cypher).
• Familiarity with translation/grounding use cases using OpenSearch Memories.
• Experience in regulated environments (e.g., Life Sciences).

At Cognizant, we support a hybrid work model and offer as much flexibility as possible. This role requires 3 days per week onsite at the client location or at a Cognizant office (Paris or Lyon). Whatever your work mode, we support a healthy work-life balance. Work conditions are correct at the date of publication and may evolve depending on the project or business needs. We will always communicate clearly and transparently. We are excited to meet curious and motivated technical profiles. Even if you do not match all criteria, feel free to apply: your transferable experience and desire to learn can make a real difference.   You must create an Indeed account before continuing to the company website to apply