Data Science Team Lead, Search & Evaluation in London
Data Science Team Lead, Search & Evaluation

Data Science Team Lead, Search & Evaluation in London

London Full-Time 36000 - 60000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Lead a team to innovate AI-driven search and evaluation systems in science and healthcare.
  • Company: Join Elsevier, a global leader in information and analytics for science and healthcare.
  • Benefits: Enjoy a healthy work/life balance, wellbeing initiatives, and opportunities for professional growth.
  • Why this job: Make a real impact on advancing discovery and improving health outcomes worldwide.
  • Qualifications: 6+ years in search systems, strong Python skills, and leadership experience required.
  • Other info: Be part of a diverse team dedicated to shaping human progress and innovation.

The predicted salary is between 36000 - 60000 £ per year.

Elsevier’s mission is to help researchers, clinicians, and life sciences professionals advance discovery and improve health outcomes through trusted content, data, and analytics. As the landscape of science and healthcare evolves, we are pioneering intelligent discovery experiences — from Scopus AI and LeapSpace to ClinicalKey AI, PharmaPendium, and next-generation life sciences platforms. These products leverage retrieval-augmented generation (RAG), semantic search, and generative AI to make knowledge more discoverable, connected, and actionable across disciplines.

About the role: We are seeking a Search and Evaluation Data Science Team Lead to join Elsevier’s Platform Data Science organisation — the team driving enterprise-scale AI, retrieval, and evaluation innovation across Elsevier’s global platforms. This role will lead a group of applied scientists advancing lexical, vector, and hybrid retrieval systems; designing robust evaluation frameworks; and shaping the foundation of Elsevier’s next-generation search and AI ecosystem.

Key responsibilities:

  • Collaborate on core platform services powering knowledge graphs, semantic enrichment, and generative interfaces that underpin Elsevier’s AI products in science, health, and life sciences.

Data Science & Evaluation

  • Advance Elsevier’s knowledge graph and metadata integration strategy, linking research and health data for more context-aware retrieval.

Requirements:

  • 6+ years of experience building and evaluating search, ranking, or retrieval systems, including 2+ years in a leadership or senior technical role.
  • Strong programming proficiency in Python, with hands-on experience in PyTorch, Hugging Face, LangGraph or Haystack.
  • Experience deploying retrieval-enhanced LLMs and hybrid retrieval pipelines in production environments.
  • Familiarity with scientific ontologies and metadata standards (e.g., MeSH, UMLS, ORCID, CrossRef).
  • Strong communication and stakeholder management skills, with the ability to bridge data science, engineering, and product domains.
  • Prior experience in academic publishing, research intelligence, or enterprise-scale AI systems.

We promote a healthy work/life balance across the organisation. 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. We know that your well-being and happiness are key to a long and successful career.

These are some of the benefits we are delighted to offer: As 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. Elsevier is a global leader in advanced information and decision support for science and healthcare. We believe that by working together with the communities we serve, we can shape human progress to go further, happen faster, and benefit all.

We support continuous discovery and uphold the highest standards of content integrity, reliability, and reproducibility so the communities we serve can advance their field of science, healthcare or innovation with confidence. By combining high-quality content with powerful analytics, we transform complexity into clarity and deliver mission-critical insights that help professionals make better decisions when it matters most.

We deliver insights that help research institutions, governments, and funders achieve their goals. We help researchers discover and share knowledge, collaborate, and accelerate innovation. We help librarians provide verified, quality information to universities. We help innovators turn knowledge into new products. We help health professionals improve patient care and educators train the next generation of doctors and nurses. Connecting quality content and innovative technologies, we make progress go further and happen faster. And by championing inclusion and sustainability, we ensure progress benefits all.

With 9,500 employees, over 2,300 technologists in 5 major tech hubs, and more than 60 locations across the globe, we are committed to supporting the scientific and healthcare communities around the world. We offer a diverse range of opportunities across technology, commercial, business, and early career jobs. If you are looking for a career that inspires progress in science, innovation and health, and allows you to grow every day, find your team at Elsevier.

Elsevier is part of RELX Group. Let’s shape progress together. Join us.

Data Science Team Lead, Search & Evaluation in London employer: Elsevier

Elsevier is an exceptional employer that champions innovation and collaboration in the fields of science and healthcare. With a strong commitment to employee well-being, we offer a healthy work/life balance, numerous wellbeing initiatives, and opportunities for professional growth through study assistance and sabbaticals. Join us in making a meaningful impact on global challenges while working alongside a diverse team of over 9,500 professionals dedicated to advancing discovery and improving health outcomes.
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Contact Detail:

Elsevier Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Science Team Lead, Search & Evaluation in London

✨Tip Number 1

Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.

✨Tip Number 2

Prepare for interviews by practising common questions and showcasing your experience with search and retrieval systems. Be ready to discuss your programming skills in Python and any relevant projects you've led.

✨Tip Number 3

Showcase your leadership skills! When talking about your past roles, highlight how you've managed teams and collaborated across departments. This is key for a Data Science Team Lead position.

✨Tip Number 4

Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining our team at Elsevier.

We think you need these skills to ace Data Science Team Lead, Search & Evaluation in London

Data Science
Search Systems Development
Ranking Algorithms
Retrieval Systems
Python Programming
PyTorch
Hugging Face
LangGraph
Haystack
LLM Deployment
Hybrid Retrieval Pipelines
Scientific Ontologies
Metadata Standards
Communication Skills
Stakeholder Management

Some tips for your application 🫡

Tailor Your CV: Make sure your CV is tailored to the Data Science Team Lead role. Highlight your experience with search, ranking, and retrieval systems, and don’t forget to showcase your leadership skills. We want to see how you can contribute to our mission!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about advancing discovery in science and healthcare. Share specific examples of your past work that align with our goals at Elsevier.

Showcase Your Technical Skills: We’re looking for strong programming proficiency in Python and experience with tools like PyTorch and Hugging Face. Make sure to include relevant projects or achievements that demonstrate your technical expertise in your application.

Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about what we do at Elsevier.

How to prepare for a job interview at Elsevier

✨Know Your Tech Inside Out

Make sure you’re well-versed in Python and the tools mentioned in the job description, like PyTorch and Hugging Face. Brush up on your experience with retrieval systems and be ready to discuss specific projects where you’ve applied these technologies.

✨Showcase Your Leadership Skills

As a Data Science Team Lead, you'll need to demonstrate your leadership capabilities. Prepare examples of how you've led teams or projects, focusing on your ability to bridge gaps between data science, engineering, and product domains.

✨Understand the Business Impact

Familiarise yourself with Elsevier’s mission and how their products impact the scientific and healthcare communities. Be prepared to discuss how your work can contribute to advancing discovery and improving health outcomes.

✨Prepare for Scenario-Based Questions

Expect questions that assess your problem-solving skills in real-world scenarios. Think about challenges you've faced in building or evaluating search and retrieval systems and how you overcame them. This will show your analytical thinking and practical experience.

Data Science Team Lead, Search & Evaluation in London
Elsevier
Location: London

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