Posted:
9/29/2025, 7:55:37 PM
Location(s):
North Holland, Netherlands ⋅ Amsterdam, North Holland, Netherlands
Experience Level(s):
Senior
Field(s):
AI & Machine Learning ⋅ Data & Analytics
Workplace Type:
Hybrid
Would you like to be part of a global innovative team using the latest technologies to empower advanced analytical capabilities?
Does driving AI innovation, developing efficient solutions, and delivering impactful insights for research intelligence excite you?
As a leading international provider of high-quality bibliometric and research evaluation services, the Analytical and Data Services (ADS) team helps position Elsevier as a trusted partner of leading institutions, funders, and governments it serves.
We are seeking a Senior Data Analyst to take a leading role in advancing our AI initiatives and strengthening our data infrastructure. This role focuses on driving innovation through applied AI and machine learning, with an emphasis on efficiency, scalability, and cost-effectiveness. You will oversee and guide the technical development work of colleagues, taking the lead on R&D efforts, proof-of-concepts, and the introduction of new AI-driven methods into production workflows.
This is a hands-on role where you will design and test novel approaches, work closely with other analysts and data scientists, and ensure our research intelligence capabilities remain cutting edge. While not a management position, you will act as the lead technical expert, shaping direction and ensuring best practices are followed across initiatives.
We are looking for candidates in the Amsterdam region.
Please apply via the link and submit your CV and a cover letter.
Leading the design, prototyping, and implementation of AI and machine learning initiatives, with a focus on cost efficiency, scalability, and real-world applicability.
Conducting R&D and proof-of-concepts to test emerging AI technologies and evaluate their potential for research intelligence.
Guiding and overseeing the development work of other analysts, ensuring alignment with best practices and project goals.
Building and optimizing advanced data workflows, leveraging Python, PySpark, DuckDB, and SQL databases.
Driving the adoption of new methodologies and analytical approaches, translating innovation into production-ready solutions.
Maintaining high standards for documentation, versioning (Semantic Versioning, Conventional Commits), and reproducibility.
Collaborating with data scientists, engineers, and analysts to develop AI-enhanced pipelines and analytical workflows.
Supporting organizational development by mentoring colleagues and sharing expertise in applied AI and analytics.
Work in a way that works for you
We promote a healthy work/life balance across the organization. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals.
Working for you
We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:
About the business
A global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine 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. At Elsevier, your work contributes to the world's grand challenges and a more sustainable future. We harness innovative technologies to support science and healthcare to partner for a better world.
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Website: https://elsevier.com/
Headquarter Location: Amsterdam, Noord-Holland, The Netherlands
Employee Count: 5001-10000
Year Founded: 1880
IPO Status: Private
Last Funding Type: Private Equity
Industries: Content ⋅ Content Discovery ⋅ Delivery ⋅ Health Care ⋅ Information Services ⋅ Information Technology ⋅ Publishing