Data Scientist

You’ll join a multidisciplinary team of highly skilled developers, a Scrum Master, and a Product Owner. The team is technically strong and eager to understand and collaborate on the data science aspects of the work. Together, you’ll deliver solutions that make search smarter and integrate generative AI responsibly.

Our Area focuses on creating the best digital experience through a top-notch content platform, intuitive navigation, and powerful search. Your work will impact global websites, apps, and internal tools used by millions of customers and colleagues. As a Data Scientist, you’ll also play a key role in ensuring compliance through company's AI Way of Working, guiding the team through stage-gates and governance processes.

Responsibilities

· Develop and train machine learning models for semantic search and personalization.

· Fine-tune and evaluate embedding models and hybrid retrieval logic in Elasticsearch for search solutions.

· Research and implement LLM-based techniques for summarization, metadata generation and other use cases.

· Translate business questions into actionable data products and insights.

· Create clear dashboards and compelling storytelling to communicate insights and teach the team how to do this.

· Collaborate closely with developers, Scrum Master, and Product Owner to scale solutions effectively.

· Support compliance processes (Privacy Impact Assessments, model development plans) within the AI Way of Working.

· Monitor and improve model performance and explainability.

Qualifications

Must-Have Qualifications

· 3+ years of experience in machine learning and NLP.

· Expertise in information retrieval (semantic search, embeddings), and LLM integration.

· Familiarity with Elasticsearch and hybrid search architectures.

· Strong communication skills to explain complex concepts clearly.

· Ability to balance innovation with compliance and governance requirements.

· Knowledge of common evaluation methods and metrics (nDCG, MAP, MRR).

· Expertise in Python and working in (Databricks) notebooks.

Nice-to-Haves

· Experience with explainability and monitoring of ML models

· Knowledge of CI/CD and software development best practices

· Dashboarding and storytelling for insights

· Affinity with agile working and multidisciplinary collaboration

· Some familiarity with Java is appreciated

This is what you get

• A 12-month assignment with the possibility of extension.
• Working hours can be between 36 and 40 hours per week.
• Hybrid working model: 1 to 2 days per week onsite, including 1 mandatory team day.
• A maximum all-in annual salary of €90,000 based on a 40-hour work week (including 13th month and holiday allowance).
• Opportunity to work within a large-scale, technology-driven enterprise environment.
• The chance to shape and improve the quality strategy for mobile applications used by millions of customers.
• A collaborative, agile, and innovation-focused work environment.
• Inclusive and diverse workplace culture.
• Competitive employment conditions through a detachment/contract employment structure (ZZP/freelance contractors are not eligible for this assignment).

For more information, please send an email to ritsa.paraskevopoulou@experis.nl or can contact her at +31638644015