{"id":3085746,"url":"https://alion.io/job/elsevier-senior-data-scientist-i-leapspace","title":"Senior Data Scientist I - LeapSpace","company":{"id":3090,"name":"Elsevier","domain":"elsevier.com","url":"https://alion.io/company/elsevier","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":85,"open_postings":22,"ghost_share":0,"stale_share":0.818,"repost_share":0,"time_to_fill_p50_days":21,"computed_at":"2026-10-27T05:46:45Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["London, United Kingdom"],"countries":["GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":80000,"max_usd":158000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":52},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A/B Testing","optional":false},{"name":"Databricks","optional":false},{"name":"Embeddings","optional":false},{"name":"Hallucination","optional":false},{"name":"Haystack","optional":false},{"name":"Hugging Face","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Matplotlib","optional":false},{"name":"NLP","optional":false},{"name":"Power BI","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"RAG","optional":false},{"name":"Seaborn","optional":false},{"name":"Semantic Search","optional":false},{"name":"Tableau","optional":false},{"name":"Agentic Workflows","optional":true},{"name":"AI Agents","optional":true},{"name":"Knowledge Graph","optional":true},{"name":"Recommender Systems","optional":true}],"status":"live","first_seen_at":"2026-10-22T13:38:46Z","employer_posted_date":"2026-10-22","last_verified_at":"2026-10-27T23:12:13Z","board_verified":true,"closed_at":null,"days_open":5,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":5},"description":"About the team: Elsevier’s mission is to help researchers, clinicians, and life sciences professionals advance discovery and improve health outcomes through trusted content, data, and analytics.\nThis role sits within Elsevier’s Platform Data Science organization, a centralized AI and data science group responsible for advancing intelligent discovery, retrieval, and generative AI capabilities across Elsevier products and platforms. The organization develops foundational AI technologies that power experiences such as LeapSpace, Elsevier’s AI-powered research assistant, as well as Elsevier’s broader Search & AI Platform.\nThe Platform Data Science organization works at the intersection of:\nSearch and retrieval systems\n\nGenerative AI and LLM applications\n\nAI evaluation and experimentation\n\nSemantic enrichment and knowledge systems\n\nScalable AI platforms and intelligent workflows\n\nAbout the role: We are looking for a Senior Data Scientist I to help design, build, and evaluate advanced AI capabilities powering LeapSpace. This role will focus heavily on applied AI research and development, including prototyping intelligent workflows, integrating large language models with trusted scientific data, and advancing AI-assisted research experiences.\nYou will work across retrieval systems, generative AI, reasoning workflows, evaluation frameworks, and AI experimentation, helping shape the future of AI-powered scientific discovery at Elsevier.\nThis role is ideal for someone with strong hands-on experience in applied AI, NLP, retrieval systems, and LLM-based applications, who enjoys rapidly prototyping and translating emerging AI techniques into scalable product capabilities.\nResponsibilities:\nApplied AI & Research\nLead prototyping and development of LLM-powered research workflows, including:\nScientific question answering\n\nLiterature summarization\n\nSemantic exploration and discovery\n\nResearch insight generation\n\nCitation-aware reasoning workflows\n\nDesign and iterate on agentic and multi-step AI workflows using frameworks such as LangGraph and related orchestration tooling.\n\nApply state-of-the-art techniques in:\nNLP\n\nGenerative AI\n\nEmbeddings and semantic representations\n\nRetrieval-augmented generation (RAG)\n\nAI reasoning and orchestration\n\nRapidly evaluate emerging AI models, tooling, and frameworks to identify opportunities for product innovation.\n\nTranslate applied AI research into scalable, production-oriented solutions that improve researcher productivity and trust.\n\nContribute to experimentation around prompt engineering, context management, grounding strategies, and hallucination mitigation.\n\nSupport integration of scientific metadata, ontologies, and knowledge assets into AI workflows.\n\nSearch, Retrieval & RAG Systems\nDesign and optimize search and retrieval pipelines, including lexical, vector, and hybrid retrieval approaches.\n\nDevelop and improve RAG systems that integrate LLMs with trusted scientific and biomedical content.\n\nExperiment with embeddings, re-ranking models, chunking strategies, and retrieval orchestration to improve relevance and answer quality.\n\nBuild scalable workflows for semantic search and knowledge discovery.\n\nCollaborate closely with engineering teams to productionize AI and retrieval systems.\n\nAI Evaluation & Experimentation\nDevelop and evolve evaluation frameworks for search and AI systems, including:\nIR metrics (e.g., NDCG, recall, precision)\n\nLLM and RAG evaluation metrics (e.g., grounding, faithfulness, hallucination detection)\n\nDesign offline evaluation methodologies and contribute to online experimentation and A/B testing.\n\nBuild and maintain evaluation datasets, benchmark suites, and annotation strategies.\n\nDrive rigorous experimentation to measure system improvements and user impact.\n\nContribute to responsible AI practices, including quality, reliability, and trust evaluation.\n\nCross-functional Leadership\nPartner with product managers, engineers, UX researchers, and domain experts to deliver impactful AI capabilities.\n\nTranslate complex technical findings into actionable recommendations for stakeholders.\n\nContribute to technical strategy and roadmap discussions for LeapSpace AI capabilities.\n\nRequirements:\nMaster’s or PhD in Computer Science, Data Science, Machine Learning, NLP, Information Retrieval, or a related field\n\nSignificant experience in applied AI, machine learning, NLP, or information retrieval\n\nStrong hands-on experience with:\nLLM-based applications and generative AI systems\n\nRAG pipelines and retrieval systems\n\nSearch and retrieval architectures (lexical, vector, hybrid)\n\nEvaluation methodologies for IR and generative AI systems\n\nAdvanced programming skills in Python\n\nExperience with modern AI/ML frameworks and tooling (e.g., PyTorch, Hugging Face, LangChain, LangGraph, Haystack)\n\nExperience working with Databricks or similar distributed data/ML platforms\n\nStrong understanding of experimentation design, evaluation frameworks, and statistical analysis\n\nProficiency with data visualization and analytical tooling (e.g., Tableau, Power BI, matplotlib, seaborn)\n\nPreferred qualifications\nExperience building AI assistants, agentic workflows, or conversational AI systems\n\nExperience working on large-scale search, ranking, or recommendation systems\n\nFamiliarity with scientific, biomedical, or scholarly datasets\n\nExperience with knowledge graphs, ontologies, or semantic enrichment systems\n\nExposure to production ML systems and MLOps practices\n\nPublications or applied research contributions in NLP, IR, search, or generative AI\n\nExperience building AI systems in regulated, high-trust, or content-rich domains\n\nWhy join us?\nJoin 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.\nWork in a way that works for you\nWe 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.\nFlexible 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.\n\nAbout the business: 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.\n\nWe know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Clickhereto access benefits specific to your location.\nWe are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.\nCriminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scamshere.\nPlease read our Candidate Privacy Policy.\nWe are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.\nUSA Job Seekers:\nEEO Know Your Rights.","description_format":"text","description_chars":8015,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":false,"languages":[]},"benefits":["Flexible schedule","Parental leave"],"hiring_locations":[{"name":"United Kingdom","iso":"GB","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Publishing","Clinical Decision Support","Scientific & Lab Software"],"lifecycle":[{"event":"open","at":"2026-10-22T13:38:46Z"}],"visa":[],"liveness":{"score":63,"band":"ok","label":"Likely open","p_open":1,"p_active":0.632,"p_room":1,"age_days":4,"expected_fill_days":21,"reasons":["conf:18","stale_co","velocity","win:early","comp:brand"],"computed_at":"2026-10-27T05:46:45Z"},"pay":null,"html_url":"https://alion.io/job/elsevier-senior-data-scientist-i-leapspace","json_url":"https://alion.io/job/elsevier-senior-data-scientist-i-leapspace.json","meta":{"generated_at":"2026-10-28T00:58:50Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":1170,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-29T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":3090},"rest":"https://alion.io/mcp/rest/get_company?id=3090"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Felsevier-senior-data-scientist-i-leapspace"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Felsevier-senior-data-scientist-i-leapspace"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Felsevier-senior-data-scientist-i-leapspace"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/elsevier-senior-data-scientist-i-leapspace\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Felsevier-senior-data-scientist-i-leapspace"}]}