Senior Data Scientist I - LeapSpace

Play a leading role in the design and optimization of lexical, vector, and hybrid retrieval systems at scale.

Help architect and improve RAG pipelines, including retrieval strategies, prompt design, and system orchestration (e.g., LangGraph-based workflows).

Help drive experimentation with embeddings, re-ranking models, and retrieval architectures to significantly improve relevance and user outcomes.

Partner with engineering to ensure robust, scalable, and production-ready implementations.

Help define and evolve evaluation strategies for search and generative AI systems across products.

Help design robust frameworks for: IR evaluation (e.g., NDCG, recall, ranking quality) GenAI evaluation (e.g., grounding, faithfulness, hallucination detection)

IR evaluation (e.g., NDCG, recall, ranking quality)

GenAI evaluation (e.g., grounding, faithfulness, hallucination detection)

Contribute to development of evaluation datasets, gold standards, and annotation strategies.

Guide and review experimental design, including offline evaluation and A/B testing, ensuring statistical rigor and validity.

Contribute to responsible AI practices, including bias, fairness, and risk evaluation

Apply and adapt state-of-the-art techniques in NLP, embeddings, and generative AI to production use cases.

Evaluate and integrate emerging technologies into the team’s roadmap.

Contribute to knowledge graph and semantic enrichment efforts that support retrieval systems.

Collaborate with domain experts, ontology engineers, and biomedical informaticians to integrate scientific taxonomies, citation networks, and clinical ontologies into retrieval systems.

Incorporate structured data — including datasets, chemical entities, genes, drugs, clinical trials, and patient outcomes — into AI-powered discovery pipelines.

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

Apply cutting-edge research in information retrieval, NLP, embeddings, and generative AI to continuously evolve Elsevier’s discovery and evaluation stack.

Work closely with product, engineering, and domain experts to define and deliver impactful solutions.

Communicate findings and recommendations clearly to both technical and non-technical stakeholders.

Take ownership of projects from problem definition through experimentation and deployment.

Join our team and contribute to a culture of innovation, collaboration, and excellence. If you are ready to advance your career and make a significant impact, we encourage you to apply.

Work in a way that works for you

We promote a healthy work/life balance across the organization. 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.

Flexible working hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive.

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:

Holiday allowance with the option to buy additional days

Health screening, eye care vouchers and private medical benefits

Life assurance, plus optional additional life cover and spouse's life cover at own cost

Access to a competitive contributory pension scheme

Save As You Earn share option scheme

Access to optional self funded benefits, including electric vehicle scheme, cycle to work scheme, dental insurance, critical illness cover, health cash plan, personal travel insurance

Travel season ticket loan

Paid time off when you become a parent, and paid time off for carers

Support for personal and work-related challenges

Access to emergency care for both the elderly and children

Time off to support the charities and causes that matter to you

Awards to recognize key service milestones

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.

We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.

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