{"id":3537121,"url":"https://alion.io/job/elsevier-senior-data-scientist-i-4","title":"Senior Data Scientist I","company":{"id":3090,"name":"Elsevier","domain":"elsevier.com","url":"https://alion.io/company/elsevier","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":80,"open_postings":24,"ghost_share":0,"stale_share":0.792,"repost_share":0,"time_to_fill_p50_days":28,"computed_at":"2026-11-05T05:54:30Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Amsterdam, Netherlands"],"countries":["NL"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":53800,"max":89900,"currency":"EUR","period":"year","gross":null,"usd_annual":100456},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"Azure","optional":false},{"name":"Databricks","optional":false},{"name":"GitHub","optional":false},{"name":"GitLab","optional":false},{"name":"LangChain","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"NLP","optional":false},{"name":"OpenSearch","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Reinforcement Learning","optional":false},{"name":"Transfer Learning","optional":false},{"name":"Transformers","optional":false}],"status":"live","first_seen_at":"2026-10-30T18:00:46Z","employer_posted_date":"2026-10-30","last_verified_at":"2026-11-05T03:38:42Z","board_verified":true,"closed_at":null,"days_open":5,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":5},"description":"Are you interested in working with data and analytics to solve problems?\nAre you interested in bringing your GenAI, ML and NLP expertise to projects?\nAbout our Team\nData Science Life Sciences is a diverse team focusing on GenAI, ML, NLP. We mainly develop best-in-class enrichment pipelines for Elsevier’s life science .com products such as Reaxys, Embase and Pharmapendium.\nAbout the Role\nAs a Senior Data Scientist, you will play a pivotal role in the development and deployment of cutting-edge Gen AI models and solutions. You will be responsible for building, testing, and maintaining our Gen AI, RAG and NLP solutions\nYou will work throughout the whole life cycle of data science projects: design, implementation, production and beyond. You will deliver efficient and production-ready Python code. You will collaborate closely with developers to deploy and productionize our data science pipelines and with subject matter experts in biology and chemistry domains to validate the output.\nThis role requires a strong foundation in Natural Language Processing (NLP), Machine Learning, Transformer models and Generative AI, as well as proficiency in Python.\nResponsibilities\nData collection, data analysis, model development, defining quality metrics, quality assessment of models and regular presentations to stakeholders.\nCreating production-ready Python packages for each component of data science pipelines (such as pre-processing and model inference) and their deployment together with software engineering team\nOptimizing and customizing Retrieval Augmented Generation (RAG) pipelines to meet specific project requirements that involve content ingestion, machine translation, and contextualized information retrieval\nIngesting, preprocessing, and transforming large-scale multilingual data to ensure high-quality inputs for downstream models.\nBuilding AI agentic models integrated with RAG pipelines.\nConducting rigorous testing and evaluation of AI models to ensure high performance and reliability.\nIntegrating data science components and performing end-to-end quality assessments.\nMaintaining robustness of data science pipelines against model drift and ensuring consistent output quality.\nEstablishing reporting processes for pipeline performance and developing automated re-training strategies for existing pipelines.\nCollaborating with cross-functional teams to integrate AI solutions into existing products and services.\nLeading and managing projects with a team of data scientists and independently executing the entire small-scale projects\nMentoring junior data scientists and fostering a knowledge-sharing culture within the team.\nStaying up-to-date with the latest advancements in AI, machine learning, and NLP technologies.\nRequirements\nMaster’s or Ph.D. in Computer Science, Data Science, Artificial Intelligence, or a related field.\n5+ years of relevant applied experience in data science, with a focus on Generative AI, NLP, and machine learning.\nProficiency in Python for data analysis, model development, and deployment.\nStrong experience with transformer models\nProficiency in Generative AI technologies, including utilizing LLMs via API access, LLM evaluation tools, and prompt engineering.\nKnowledge of various RAG pipelines and their practical implementation.\nExperience building Agentic RAG systems is strong requirement.\nExperience with AI agent management frameworks such as LangChain, or similar tools.\nExperience with advanced algorithms in deep learning, neural networks, reinforcement learning, and transfer learning.\nFamiliarity with traditional machine learning algorithms such as random forests, SVM, logistic regression, and Bayesian modelling for model building, validation, and testing.\nFamiliarity with cloud platforms (e.g., Bedrock, AWS, Azure) for model deployment and the creation of production-ready pipelines.\nProficiency in data visualization tools and techniques.\nExperience with version control systems (e.g., GitLab or GitHub), Jira, and working in an Agile environment.\nProficient in using OpenSearch and Databricks.\nExcellent problem-solving and analytical skills, with strong attention to detail.\nStrong communication skills and the ability to work effectively in a team-oriented environment.\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. \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\nPrimary Location Base Pay Range: NLD Amsterdam (Radarweg) €53,800 - €89,900. \n\nThis role is covered by the Collective Labor Agreement Publishing Industry.\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":6581,"description_truncated":false,"requirements":{"experience_years_min":5,"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":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Publishing","Clinical Decision Support","Scientific & Lab Software"],"lifecycle":[{"event":"open","at":"2026-10-30T18:00:46Z"}],"visa":[],"liveness":{"score":70,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.695,"p_room":1,"age_days":5,"expected_fill_days":28,"reasons":["conf:2","stale_co","wave","velocity","win:early","comp:brand"],"computed_at":"2026-11-05T05:54:30Z"},"pay":{"stated_usd_annual":100456,"is_top_pay":false},"html_url":"https://alion.io/job/elsevier-senior-data-scientist-i-4","json_url":"https://alion.io/job/elsevier-senior-data-scientist-i-4.json","meta":{"generated_at":"2026-11-05T08:15:00Z","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":10497,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-06T00:00:00Z"}},"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-4"},{"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-4"},{"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-4"},{"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-4\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Felsevier-senior-data-scientist-i-4"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3537121}},{"tool":"search_jobs","arguments":{"company":"elsevier.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3537121},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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