Senior Data Scientist I (AI)
ΠΡΡΡ & Π‘ΠΎΠΏΡΠΎΠ²ΠΎΠ΄
ΠΠ»Ρ ΠΌΡΡΡΠ° Ρ ΡΡΠΎΠΉ Π²Π°ΠΊΠ°Π½ΡΠΈΠ΅ΠΉ Π½ΡΠΆΠ΅Π½ Plus
ΠΠΏΠΈΡΠ°Π½ΠΈΠ΅ Π²Π°ΠΊΠ°Π½ΡΠΈΠΈ
TL;DR
Senior Data Scientist I (AI): Leading the development and evaluation of advanced search and generative AI systems with an accent on RAG pipelines, retrieval strategies, and system orchestration. Focus on driving methodological rigor in evaluation, optimizing hybrid retrieval architectures, and integrating complex scientific ontologies into production-ready discovery platforms.
Location: Must be based in the UK or Netherlands
Salary: β¬53,800ββ¬89,900
Company
A global leader in information and analytics, helping researchers and healthcare professionals advance discovery through trusted content and innovative technology.
What you will do
- Design and optimize lexical, vector, and hybrid retrieval systems at scale.
- Architect and improve RAG pipelines, including prompt design and system orchestration.
- Define and evolve evaluation strategies for IR and GenAI systems, including hallucination detection and ranking quality.
- Collaborate with domain experts to integrate scientific taxonomies and knowledge graphs into discovery pipelines.
- Partner with engineering to ensure robust, scalable, and production-ready implementations.
- Drive experimentation design, including offline evaluation and A/B testing.
Requirements
- Masterβs or PhD in Computer Science, Data Science, Machine Learning, or a related field.
- 3β5+ years of experience in data science, machine learning, or applied NLP.
- Strong hands-on experience with search and retrieval systems, RAG pipelines, and LLM-based systems.
- Advanced programming skills in Python.
- Experience with modern ML/NLP frameworks like PyTorch, Hugging Face, LangChain, or Haystack.
- Experience working with Databricks or similar distributed data platforms.
Nice to have
- PhD in a relevant technical field.
- Experience with scientific ontologies like MeSH or UMLS.
- Familiarity with MLOps practices and production ML systems.
- Experience with human-in-the-loop evaluation or annotation workflows.
Culture & Benefits
- Flexible working hours and work-from-anywhere policy.
- Comprehensive pension plan and Dutch Share Purchase Plan.
- Generous vacation entitlement and sabbatical leave options.
- Wellbeing programs, gym facilities, and employee assistance programs.
- Support for study assistance and continuous learning through online courses.
ΠΡΠ΄ΡΡΠ΅ ΠΎΡΡΠΎΡΠΎΠΆΠ½Ρ: Π΅ΡΠ»ΠΈ ΡΠ°Π±ΠΎΡΠΎΠ΄Π°ΡΠ΅Π»Ρ ΠΏΡΠΎΡΠΈΡ Π²ΠΎΠΉΡΠΈ Π² ΠΈΡ ΡΠΈΡΡΠ΅ΠΌΡ, ΠΈΡΠΏΠΎΠ»ΡΠ·ΡΡ iCloud/Google, ΠΏΡΠΈΡΠ»Π°ΡΡ ΠΊΠΎΠ΄/ΠΏΠ°ΡΠΎΠ»Ρ, Π·Π°ΠΏΡΡΡΠΈΡΡ ΠΊΠΎΠ΄/ΠΠ, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡΠ΅ ΡΡΠΎΠ³ΠΎ - ΡΡΠΎ ΠΌΠΎΡΠ΅Π½Π½ΠΈΠΊΠΈ. ΠΠ±ΡΠ·Π°ΡΠ΅Π»ΡΠ½ΠΎ ΠΆΠΌΠΈΡΠ΅ "ΠΠΎΠΆΠ°Π»ΠΎΠ²Π°ΡΡΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡΠΈΡΠ΅ Π² ΠΏΠΎΠ΄Π΄Π΅ΡΠΆΠΊΡ. ΠΠΎΠ΄ΡΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β