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7 часов Π½Π°Π·Π°Π΄

Senior Data Scientist I (AI)

53Β 800 - 89Β 900€
Π€ΠΎΡ€ΠΌΠ°Ρ‚ Ρ€Π°Π±ΠΎΡ‚Ρ‹
remote (Ρ‚ΠΎΠ»ΡŒΠΊΠΎ Europe)
Π’ΠΈΠΏ Ρ€Π°Π±ΠΎΡ‚Ρ‹
fulltime
Π“Ρ€Π΅ΠΉΠ΄
senior
Английский
b2
Π‘Ρ‚Ρ€Π°Π½Π°
UK/Netherlands
Вакансия ΠΈΠ· списка Hirify.GlobalВакансия ΠΈΠ· Hirify Global, списка ΠΌΠ΅ΠΆΠ΄ΡƒΠ½Π°Ρ€ΠΎΠ΄Π½Ρ‹Ρ… tech-ΠΊΠΎΠΌΠΏΠ°Π½ΠΈΠΉ
Для мэтча ΠΈ ΠΎΡ‚ΠΊΠ»ΠΈΠΊΠ° Π½ΡƒΠΆΠ΅Π½ Plus

ΠœΡΡ‚Ρ‡ & Π‘ΠΎΠΏΡ€ΠΎΠ²ΠΎΠ΄

Для мэтча с этой вакансиСй Π½ΡƒΠΆΠ΅Π½ Plus

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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: €53,800–€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

  • Master’s or PhD in Computer Science, Data Science, Machine Learning, or a related field.
  • 3–5+ 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.

Π‘ΡƒΠ΄ΡŒΡ‚Π΅ остороТны: Ссли Ρ€Π°Π±ΠΎΡ‚ΠΎΠ΄Π°Ρ‚Π΅Π»ΡŒ просит Π²ΠΎΠΉΡ‚ΠΈ Π² ΠΈΡ… систСму, ΠΈΡΠΏΠΎΠ»ΡŒΠ·ΡƒΡ iCloud/Google, ΠΏΡ€ΠΈΡΠ»Π°Ρ‚ΡŒ ΠΊΠΎΠ΄/ΠΏΠ°Ρ€ΠΎΠ»ΡŒ, Π·Π°ΠΏΡƒΡΡ‚ΠΈΡ‚ΡŒ ΠΊΠΎΠ΄/ПО, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡ‚Π΅ этого - это мошСнники. ΠžΠ±ΡΠ·Π°Ρ‚Π΅Π»ΡŒΠ½ΠΎ ΠΆΠΌΠΈΡ‚Π΅ "ΠŸΠΎΠΆΠ°Π»ΠΎΠ²Π°Ρ‚ΡŒΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡˆΠΈΡ‚Π΅ Π² ΠΏΠΎΠ΄Π΄Π΅Ρ€ΠΆΠΊΡƒ. ΠŸΠΎΠ΄Ρ€ΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β†’