Senior GenAI/NLP Data Scientist — RAG & Production

RX Brasil; Amsterdam; On-site; EUR 54,000 - 90,000; Full time

Job summary

Elsevier in Amsterdam seeks a Senior Data Scientist to develop GenAI, NLP and ML solutions, build production‑ready Python pipelines, and deploy RAG systems. You’ll lead model design, evaluation, and collaboration with biology and chemistry SMEs to validate outputs while ensuring robust data pipelines and drift management.

You will work across data collection, preprocessing, model inference, deployment, and monitoring, with a strong emphasis on transformer models and API‑based LLMs in a globally

Qualifications

• Master’s or Ph.D. in Computer Science, Data Science, Artificial Intelligence, or a related field.
• 5+ years of relevant applied experience in data science, with a focus on Generative AI, NLP, and machine learning.
• Proficiency in Python for data analysis, model development, and deployment.
• Strong experience with transformer models.
• Proficiency in Generative AI technologies, including utilizing LLMs via API access, LLM evaluation tools, and prompt engineering.
• Knowledge of various RAG pipelines and their practical implementation.
• Experience building Agentic RAG systems is strong requirement.
• Experience with AI agent management frameworks such as LangChain, or similar tools.
• Experience with cloud platforms (e.g., Bedrock, AWS, Azure) for model deployment and the creation of production‑ready pipelines.
• Proficiency in data visualization tools and techniques.
• Experience with version control systems (e.g., GitLab or GitHub), Jira, and working in an Agile environment.
• Proficient in using OpenSearch and Databricks.

Responsibilities

• Data collection, data analysis, model development, defining quality metrics, quality assessment of models and regular presentations to stakeholders.
• Creating production‑ready Python packages for each component of data science pipelines (such as pre-processing and model inference) and their deployment together with software engineering team.
• Optimizing and customizing Retrieval Augmented Generation (RAG) pipelines to meet specific project requirements that involve content ingestion, machine translation, and contextualized information retrieval.
• Ingesting, preprocessing, and transforming large‑scale multilingual data to ensure high‑quality inputs for downstream models.
• Building AI agentic models integrated with RAG pipelines.
• Conducting rigorous testing and evaluation of AI models to ensure high performance and reliability.
• Integrating data science components and performing end‑to‑end quality assessments.
• Maintaining robustness of data science pipelines against model drift and ensuring consistent output quality.
• Establishing reporting processes for pipeline performance and developing automated re‑training strategies for existing pipelines.
• Collaborating with cross‑functional teams to integrate AI solutions into existing products and services.
• Leading and managing projects with a team of data scientists and independently executing the entire small‑scale projects.
• Mentoring junior data scientists and fostering a knowledge‑sharing culture within the team.
• Staying up-to-date with the latest advancements in AI, machine learning, and NLP technologies.

Skills

Python

NLP

GenAI

Transformer models

LangChain

Education

Master’s or Ph.D. in Computer Science, Data Science, AI or related field

Tools

LangChain or similar

OpenSearch

Databricks

Cloud platforms (AWS/Azure/Bedrock)

GitHub/Jira

Job description

Elsevier in Amsterdam seeks a Senior Data Scientist to develop GenAI, NLP and ML solutions, build production‑ready Python pipelines, and deploy RAG systems. You’ll lead model design, evaluation, and collaboration with biology and chemistry SMEs to validate outputs while ensuring robust data pipelines and drift management.

You will work across data collection, preprocessing, model inference, deployment, and monitoring, with a strong emphasis on transformer models and API‑based LLMs in a globally