{"id":2192740,"url":"https://alion.io/job/madiff-data-science-lead","title":"Data Science Lead","company":{"id":4374669,"name":"Madiff","domain":"madiff.eu","url":"https://alion.io/company/madiff-2","size_band":"51-200","is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":"Zoho Recruit","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"lead","employment_type":"full_time","work_mode":"remote","remote_scope":"unspecified","remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":[],"countries":[],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":114000,"max_usd":236000,"period":"year","method":"global_role_seniority_cell","sample_n":597},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Embeddings","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Explainable AI","optional":true},{"name":"NLP","optional":true}],"status":"live","first_seen_at":"2026-10-09T18:25:16Z","employer_posted_date":"2026-10-09","last_verified_at":"2026-10-12T05:10:32Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"This is a remote position.\nWe are looking for a Data Science Lead to join a high-impact AI programme operating within a strictly regulated pharmaceutical environment. The role focuses on leading the machine learning and GenAI architecture behind a production-grade compliance platform that automates regulatory validation of marketing materials. This is a strategic, enterprise-scale initiative requiring strong ownership, architectural thinking, and hands-on depth in LLM-driven systems.\nResponsibilities\n\nDesign and evolve AI and ML architecture supporting compliance validation workflows\nDesign and optimise LLM-driven retrieval and validation pipelines (RAG-based systems)\nOwn evaluation frameworks, benchmarking strategies, and continuous improvement loops\nImplement explainability and traceability mechanisms aligned with regulatory standards\nCollaborate closely with ML Engineers and Backend teams on productionisation of AI components\nDrive decisions around embeddings, vector databases, and retrieval strategies\nEnsure reproducible, testable, and high-quality AI workflows\nSupport scaling the platform into an enterprise-grade AI solution\nLead technical discussions across product, engineering, and compliance stakeholders\nRequirements\nStrong hands-on background in Data Science and applied Machine Learning\nProven experience designing and deploying LLM-based systems in production\nPractical experience with Retrieval Augmented Generation architectures\nExperience with vector databases and embedding pipelines\nStrong Python expertise and familiarity with modern AI frameworks\nExperience designing model evaluation and validation frameworks\nAbility to operate in regulated or compliance-heavy environments\nStrong ownership mindset and ability to influence architectural decisions\nConfident communication skills in cross-functional environments\nNice to have\n\nExperience in pharmaceutical, healthcare, or other regulated industries\nExposure to explainable AI methodologies or frameworks\nExperience with document intelligence and NLP-heavy pipelines\nBackground in enterprise-scale AI platforms rather than proof-of-concept environments \n\nBenefits\nSolid, competitive salary\nWork in a multinational environment on international projects\nComprehensive healthcare\nLong-term B2B contract with a stable 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