{"id":2793492,"url":"https://alion.io/job/elsevier-data-scientist-iii-leapspace","title":"Data Scientist III - 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":null},"role":"Data Science","role_family":"Data Science","seniority":"middle","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":64000,"max_usd":144000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":13},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A/B Testing","optional":false},{"name":"AI Agents","optional":false},{"name":"Databricks","optional":false},{"name":"Edge AI","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":"Semantic Search","optional":false},{"name":"Tableau","optional":false},{"name":"Agentic Workflows","optional":true},{"name":"Knowledge Graph","optional":true}],"status":"live","first_seen_at":"2026-07-24T00:00:00Z","employer_posted_date":"2026-07-24","last_verified_at":"2026-10-18T01:19:05Z","board_verified":true,"closed_at":null,"days_open":86,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":86},"description":"About the team\nElsevier’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\nWe are looking for a Data Scientist III to help design, build, and evaluate advanced AI capabilities supporting LeapSpace and Elsevier’s Search & AI Platform initiatives. This role focuses on applied AI development, retrieval systems, and AI evaluation, helping bring cutting-edge AI technologies into production experiences used by researchers worldwide.\nYou will work closely with senior data scientists, engineers, product managers, and domain experts across retrieval systems, generative AI, reasoning workflows, evaluation frameworks, and experimentation, contributing to the next generation of AI-powered scientific discovery tools.\nThis role is ideal for someone with hands-on experience in applied AI, NLP, information retrieval, and LLM-based applications, who enjoys building innovative solutions and translating emerging AI techniques into impactful product capabilities.\nKey responsibilities\nApplied AI & Research\nDevelop and improve LLM-powered research workflows, including:Scientific question answeringLiterature summarizationSemantic exploration and discoveryResearch insight generationCitation-aware retrieval and reasoning workflows\n\nBuild and iterate on agentic and multi-step AI workflows using frameworks such as LangGraph and related orchestration tools.\n\nApply modern techniques in:NLPGenerative AIEmbeddings and semantic representationsRetrieval-augmented generation (RAG)AI reasoning and workflow orchestration\n\nEvaluate emerging AI models, tools, and frameworks and contribute recommendations for experimentation and adoption.\n\nContribute to prompt engineering, grounding strategies, context management, and hallucination mitigation efforts.\n\nSupport integration of scientific metadata, ontologies, and knowledge assets into AI-powered workflows.\n\nSearch, Retrieval & RAG Systems\nDesign, develop, and optimize search and retrieval pipelines, including lexical, vector, and hybrid retrieval approaches.\n\nContribute to the development and enhancement of RAG systems that integrate LLMs with trusted scientific and biomedical content.\n\nExperiment with embeddings, re-ranking models, chunking strategies, and retrieval orchestration techniques to improve relevance and answer quality.\n\nSupport development of semantic search, ranking, and knowledge discovery capabilities.\n\nCollaborate with engineering teams to deploy and scale AI-powered solutions.\n\nAI Evaluation & Experimentation\nDevelop and apply evaluation frameworks for search and AI systems, including:IR metrics (e.g., NDCG, recall, precision)LLM and RAG evaluation metrics (e.g., grounding, faithfulness, hallucination detection)\n\nBuild and maintain evaluation datasets, benchmark suites, and annotation workflows.\n\nConduct offline experiments and contribute to online experimentation and A/B testing.\n\nAnalyze experimental results and communicate findings to stakeholders.\n\nContribute to responsible AI practices focused on quality, reliability, and trust.\n\nCross-functional Collaboration\nPartner with product managers, engineers, UX researchers, and domain experts to deliver AI-powered capabilities.\n\nCommunicate technical findings and recommendations clearly to both technical and non-technical audiences.\n\nContribute to knowledge sharing and adoption of best practices across the Platform Data Science organization.\n\nSupport delivery of projects from research and experimentation through production deployment.\n\nRequired qualifications\nMaster’s or PhD in Computer Science, Data Science, Machine Learning, NLP, Information Retrieval, or a related field\n\nExperience in data science, machine learning, applied NLP, information retrieval, generative AI, or a related field\n\nHands-on experience with: LLM-based applications and generative AI systemsRAG pipelines and retrieval systemsSearch and retrieval architectures (lexical, vector, hybrid)Evaluation methodologies for IR and generative AI systems\n\nStrong 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 and machine learning platforms\n\nUnderstanding of experimentation methodologies, evaluation frameworks, and statistical analysis\n\nProficiency with data visualization and analytical tooling (e.g., Tableau, Power BI, matplotlib, seaborn)\n\nDemonstrated ability to independently execute technical projects and contribute to cross-functional initiatives\n\nPreferred qualifications\nExperience building AI assistants, agentic workflows, or conversational AI applications\n\nExperience working on search, ranking, recommendation, or retrieval 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\nAcademic or industry research experience in NLP, information retrieval, search, or generative AI\n\nExperience working in content-rich, knowledge-intensive, or highly regulated domains\n\nWorking for you\nWe 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:\nComprehensive Pension Plan\n\nHome, office, or commuting allowance.\n\nGenerous vacation entitlement and option for sabbatical leave\n\nMaternity, Paternity, Adoption and Family Care leave\n\nFlexible working hours\n\nPersonal Choice budget\n\nInternal communities and networks\n\nVarious employee discounts\n\nRecruitment introduction reward\n\nEmployee Assistance Program (global)\n\nAbout the business\nAs 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":8157,"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","Generous vacation"],"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":"2026-10-17T21:15:37Z"}],"visa":[],"liveness":{"score":7,"band":"cold","label":"Long shot","p_open":1,"p_active":0.254,"p_room":0.28,"age_days":86,"expected_fill_days":15,"reasons":["conf:11","win:tail","crowd:brand"],"computed_at":"2026-10-18T13:16:37Z"},"pay":null,"html_url":"https://alion.io/job/elsevier-data-scientist-iii-leapspace","json_url":"https://alion.io/job/elsevier-data-scientist-iii-leapspace.json","meta":{"generated_at":"2026-10-18T13:16:37Z","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":19770,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-19T00:00:00Z"}},"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-data-scientist-iii-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-data-scientist-iii-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-data-scientist-iii-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-data-scientist-iii-leapspace\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Felsevier-data-scientist-iii-leapspace"}]}