Data Scientist: AI & Retrieval for Scientific Discovery

Energy Jobline ZR; Greater London; On-site; GBP 90,000 - 120,000; Full time

Benefits offered by this job

Comprehensive Pension Plan

Flexible working hours

Sabbatical leave

Family leave

Employee discounts

Employee Assistance Program (global)

Job summary

Elsevier’s Platform Data Science team is hiring a Data Scientist III to design, build, and evaluate advanced AI capabilities powering LeapSpace and the Search & AI Platform. You’ll work on applied AI, retrieval systems, and RAG workflows in collaboration with cross-functional teams worldwide.

The role focuses on production-ready AI, NLP, and evaluation, translating cutting-edge techniques into impactful scientific discovery tools for researchers and clinicians.

Qualifications

• Advanced degree in CS/DS/ML/NLP/IR or related field.
• Experience in data science, ML, applied NLP, information retrieval or related area.
• Hands-on with LLM-based apps, RAG pipelines, and search architectures.
• Proficiency in Python.
• Experience with PyTorch, Hugging Face, LangChain, LangGraph, Haystack.
• Experience with Databricks or similar platforms.
• Understanding of experimentation methodologies and statistical analysis.
• Data visualization skills (Tableau, Power BI, matplotlib, seaborn).
• Ability to independently execute technical projects and collaborate cross-functionally.

Responsibilities

• Develop and deliver LLM-powered research workflows and retrieval pipelines.
• Design and optimize search, ranking, and RAG systems across platforms.
• Evaluate AI models, frameworks, and tools; drive experimentation.
• Contribute to prompt engineering, grounding, and context management.
• Collaborate with product managers, engineers, and domain experts to operationalize research.
• Communicate findings clearly to technical and non-technical stakeholders.

Skills

Python programming

Applied AI & NLP

Retrieval systems

Experimentation & evaluation

Cross-functional collaboration

Education

Bachelor's/Master's/PhD in CS/DS/ML/NLP/IR

Tools

LangGraph

LangChain

PyTorch

Hugging Face

Haystack

Databricks

Job description

Elsevier’s Platform Data Science team is hiring a Data Scientist III to design, build, and evaluate advanced AI capabilities powering LeapSpace and the Search & AI Platform. You’ll work on applied AI, retrieval systems, and RAG workflows in collaboration with cross-functional teams worldwide.

The role focuses on production-ready AI, NLP, and evaluation, translating cutting-edge techniques into impactful scientific discovery tools for researchers and clinicians.