Senior Data Analyst I (Secondment)

The Research Collaboration Unit is looking for a secondee to cover a role in the technical arm of our group during a parental leave. The duration of the role is starting in April 2026 (date to be agreed) until end of January 2027.

Our cross-functional projects are often conducted in collaboration with external partners, and comprise developing proof of concept product solutions that address novel customer needs, often focused around research evaluation questions, or applying scientometric techniques (big data, network analysis, ML and GenAI) to create innovative metrics or find innovative insights about our content or solutions., We are looking for an experienced Data Analyst/Data Scientist to assist with our portfolio of projects, which for H2 2026 are mainly focused on quantifying the impact of universities, replicating elements of librarianship best practices and researcher workflows using AI/ML, and applying scientometric signals to develop new solutions that could (in the long term) comprise new features in Elsevier's product portfolio., * Produce proof of concept metrics/systems in Python, often using GenAI integrations, to quickly prototype novel feature ideas

• Assist project leaders in the Research Collaboration unit with ad hoc data analyses, such as: quantifying coverage and quality of (internal or external) datasets, preparing novel research indicators in Databricks, preparing custom datasets transformed from the Scopus ANI table or other sources
• Participate in group brainstorming, code reviews, and other learning activities
• Work in a cross-functional way with other team members to ensure projects receive adequate QA (including human evaluation), user research, design/presentation, and align with relevant product roadmaps

Do you thrive in a fast-paced, collaborative environment where your analysis can directly influence strategy?, * Fluency in Databricks/with Pyspark, and experience working with key Elsevier datasets such as Scopus ANI and article fulltext

• Strong familiarity with data assets in the company that could be leveraged for new product innovations
• Preferably experience integrating LLMs into workflows for summarization, search, or information extraction
• Solid Python skills for producing quick prototypes to demo new features/ideas
• Familiarity with common ML algorithms (e.g., logistic regression, SVMs, random forests) and model evaluation practices.
• Understanding of key concepts in research evaluation, such as current popular metrics and databases, trends in the community, and scientometric best practices
• Strong communication and presentation skills, including pitching proposed solutions to senior business and product stakeholders
• Creative thinker, willing to ideate diverse solutions to user problems and iterate frequently based on (external) feedback.
• Curiosity and willingness to learn new technologies.
• Clear communication and ability to work in a collaborative, cross-functional team.

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:

• Dutch Share Purchase Plan
• Annual Profit Share Bonus
• Comprehensive Pension Plan
• Home, office or commuting allowance
• Generous vacation entitlement and option for sabbatical leave
• Maternity, Paternity, Adoption and Family Care leave
• Flexible working hours
• Personal Choice budget
• Variety of online training courses and career roadshows
• Wellbeing programs and gym facility in the office
• Internal communities and networks
• Various employee discounts
• Recruitment introduction reward
• Work from anywhere
• Employee Assistance Program (global)
• Annual Event

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.