Jobs / data
Manager Data Science
Elsevier · Amsterdam
What you will do
We are looking for a Manager Data Science to lead a team of data scientists within the Corporate Markets Life Sciences area. You will set team direction, manage delivery, develop people, and ensure the team applies strong data science practices to solve complex business and customer problems.
This is a people-management role for a technically strong leader who can guide a team across a broad data science portfolio. The work may include machine learning models, NLP pipelines, entity extraction, classification, ranking, search, recommendation, data quality, knowledge graph enrichment, predictive analytics, LLM-based systems, Gen AI Agents, Multi Agent systems and RAG where relevant.
You will work closely with product, engineering, content, domain experts, and business stakeholders to deliver scalable, measurable, and production-ready data science solutions for Life Sciences customers.
What you will do
Leadership & team management
- Lead, coach, and develop a team of data scientists, supporting their technical growth, delivery, and career development.
- Set the strategy, priorities, and operating rhythm for the team in alignment with Corporate Markets and Life Sciences data science business goals.
- Plan, delegate, and manage team resources across multiple projects and product areas.
- Create a culture of scientific rigor, collaboration, responsible AI, customer focus, and continuous improvement.
- Guide the team in defining and applying best practices for data science, experimentation, model evaluation, data quality, and production collaboration.