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About the Role

As a Senior Data Scientist, you will develop and deploy cutting-edge Gen AI models and solutions, including RAG and NLP. You will manage the full data science project lifecycle from design to production, delivering efficient Python code and collaborating with developers and subject matter experts.

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.

Requirements

• 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 a strong requirement.
• Experience with AI agent management frameworks such as LangChain, or similar tools.
• Experience with advanced algorithms in deep learning, neural networks, reinforcement learning, and transfer learning.
• Familiarity with traditional machine learning algorithms such as random forests, SVM, logistic regression, and Bayesian modelling for model building, validation, and testing.
• Familiarity 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.
• Excellent problem-solving and analytical skills, with strong attention to detail.
• Strong communication skills and the ability to work effectively in a team-oriented environment.

Skills

• GenAI
• ML
• NLP
• Python
• Transformer models
• Generative AI
• LLMs
• RAG
• Agentic RAG systems
• LangChain
• Deep learning
• Neural networks
• Reinforcement learning
• Transfer learning
• Random forests
• SVM
• Logistic regression
• Bayesian modelling
• Cloud platforms (Bedrock, AWS, Azure)
• Data visualization
• GitLab
• GitHub
• Jira
• Agile
• OpenSearch
• Databricks

Location

• NLD Amsterdam (Radarweg)

Work Type

• Flexible working hours

Experience Level

• Senior
• 5+ years of relevant applied experience

Education Level

• Master’s or Ph.D. in Computer Science, Data Science, Artificial Intelligence, or a related field.

Salary/Compensations

• €53,800 - €89,900

Benefits

• Appealing working prospect
• Numerous wellbeing initiatives
• Shared parental leave
• Study assistance
• Sabbaticals
• Flexible working hours
• Country specific benefits

About the Company

• Global leader in information and analytics, helping researchers and healthcare professionals advance science and improve health outcomes.
• Combines quality information and vast data sets with analytics to support visionary science and research, health education, and interactive learning, as well as exceptional healthcare and clinical practice.
• Work contributes to the world’s grand challenges and a more sustainable future.
• Harnesses innovative technologies to support science and healthcare to partner for a better world.
• Elsevier is part of RELX Group.

Equal Opportunity

• Qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
• We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.