Senior Data Scientist I - LeapSpace

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The Platform Data Science organization works at the intersection of:

• Search and retrieval systems

• Generative AI and LLM applications

• AI evaluation and experimentation

• Semantic enrichment and knowledge systems

• Scalable AI platforms and intelligent workflows

• Lead prototyping and development of

, including:

• Scientific question answering

• Literature summarization

• Semantic exploration and discovery

• Research insight generation

• Citation-aware reasoning workflows

• Design and iterate on

and related orchestration tooling.

• Apply state-of-the-art techniques in:
• NLP

• Generative AI

• Embeddings and semantic representations

• Retrieval-augmented generation (RAG)

• AI reasoning and orchestration

• Rapidly evaluate emerging AI models, tooling, and frameworks to identify opportunities for product innovation.

• Translate applied AI research into scalable, production-oriented solutions that improve researcher productivity and trust.

• Contribute to experimentation around prompt engineering, context management, grounding strategies, and hallucination mitigation.

• Support integration of scientific metadata, ontologies, and knowledge assets into AI workflows.

• Design and optimize

, including lexical, vector, and hybrid retrieval approaches.

• Develop and improve

that integrate LLMs with trusted scientific and biomedical content.

• Experiment with embeddings, re-ranking models, chunking strategies, and retrieval orchestration to improve relevance and answer quality.

• Build scalable workflows for semantic search and knowledge discovery.

• Collaborate closely with engineering teams to productionize AI and retrieval systems.

• Develop and evolve

for search and AI systems, including:

• IR metrics (e.g., NDCG, recall, precision)

• LLM and RAG evaluation metrics (e.g., grounding, faithfulness, hallucination detection)

• Design offline evaluation methodologies and contribute to online experimentation and A/B testing.

• Build and maintain evaluation datasets, benchmark suites, and annotation strategies.

• Drive rigorous experimentation to measure system improvements and user impact.

• Contribute to responsible AI practices, including quality, reliability, and trust evaluation.

• Partner with product managers, engineers, UX researchers, and domain experts to deliver impactful AI capabilities.

• Translate complex technical findings into actionable recommendations for stakeholders.

• Contribute to technical strategy and roadmap discussions for LeapSpace AI capabilities.

in applied AI, machine learning, NLP, or information retrieval

• Strong hands-on experience with:

•

for IR and generative AI systems

• Advanced programming skills in

• Experience with modern AI/ML frameworks and tooling (e.g., PyTorch, Hugging Face, LangChain,

, Haystack)

• Experience working with

or similar distributed data/ML platforms

• Strong understanding of

• Proficiency with

• Experience building

• Experience working on

• Familiarity with

• Experience with

• Exposure to

• Publications or applied research contributions in NLP, IR, search, or generative AI

• Experience building AI systems in regulated, high-trust, or content-rich domains

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.