Senior GenAI/NLP Data Scientist - Lead Projects (Flexible)

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

Job summary

Elsevier is seeking a Senior Data Scientist to join the Data Science Life Sciences team. You will develop and deploy GenAI, NLP and ML solutions, building production-ready Python code and collaborating with biology and chemistry experts to validate output.

Responsibilities include data collection, model development, multilingual data processing, RAG pipeline optimization, testing and deployment. You will mentor juniors and lead small projects while staying current with AI advances.

Qualifications

• Master’s or Ph.D. in Computer Science, Data Science, AI, or related field.
• 5+ years of applied experience in data science focusing on Generative AI, NLP, and ML.
• Proficiency in Python for data analysis, model development and deployment.
• Strong experience with transformer models.
• Experience with Generative AI technologies, LLMs via API, evaluation tools, and prompt engineering.
• Knowledge of RAG pipelines and practical implementation.
• Experience building Agentic RAG systems.
• Experience with LangChain or similar tools.
• Familiarity with cloud platforms for production pipelines (e.g., AWS, Azure).
• Proficiency with data visualization and version control tools (GitHub/GitLab).

Responsibilities

• Data collection, analysis, model development, and quality assessment for stakeholders.
• Create production-ready Python packages for data pipelines and model inference with software engineers.
• Optimize and customize RAG pipelines for multilingual content ingestion and retrieval.
• Ingest, preprocess, and transform large multilingual datasets for high-quality inputs.
• Build AI agentic models integrated with RAG pipelines.
• Rigorous testing and evaluation to ensure performance and reliability.
• Integrate data science components and perform end-to-end quality checks.
• Maintain robustness against model drift and ensure output quality.
• Establish reporting for pipeline performance and automate retraining strategies.
• Collaborate with cross-functional teams to integrate AI into products and services.
• Lead and manage projects, mentor junior data scientists, and share knowledge.

Skills

GenAI

NLP

ML

Python

Data analysis

Multilingual NLP

Education

Master's or Ph.D. in Computer Science/Data Science/AI

Tools

Python

OpenSearch

Databricks

LangChain or similar

Job description

Elsevier is seeking a Senior Data Scientist to join the Data Science Life Sciences team. You will develop and deploy GenAI, NLP and ML solutions, building production-ready Python code and collaborating with biology and chemistry experts to validate output.

Responsibilities include data collection, model development, multilingual data processing, RAG pipeline optimization, testing and deployment. You will mentor juniors and lead small projects while staying current with AI advances.