{"id":1360470,"url":"https://alion.io/job/pearson-advanced-specialist-data-scientist","title":"Advanced Specialist, Data Scientist","company":{"id":34029,"name":"Pearson","domain":"pearson.com","url":"https://alion.io/company/pearson","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"B","score":79,"open_postings":19,"ghost_share":0,"stale_share":0.842,"repost_share":0,"time_to_fill_p50_days":34,"computed_at":"2026-10-01T05:45:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":null,"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":65000,"max_usd":154000,"period":"year","method":"role_country_seniority_unknown","sample_n":93},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Amazon SageMaker","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"Azure","optional":false},{"name":"Fine-tuning","optional":false},{"name":"GCP","optional":false},{"name":"LangChain","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"OCR","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"SQL","optional":false},{"name":"CI/CD","optional":true}],"status":"closed","first_seen_at":"2026-07-08T18:19:49Z","employer_posted_date":"2026-07-08","last_verified_at":"2026-09-29T23:54:00Z","board_verified":false,"closed_at":"2026-09-29T23:54:00Z","days_open":83,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":83},"description":"Senior Data Scientist - Enterprise Learning & Skills (ELS), Pearson\nAbout Pearson and ELS\nPearson is the world’s learning company; our mission is to help people make progress in their lives through learning. You’ll join the Enterprise Learning & Skills (ELS) area supporting the understanding and development of skills in a range of contexts.\nOur culture emphasizes belonging, diverse viewpoints, and a supportive environment where people can do their best work.\nThe role\nWe’re hiring a senior data scientist to help stand up and scale a shared data science capability that partners with stream-aligned teams.\nYou’ll report into the Data Science Team Manager and lead end-to-end DS/ML projects, shape standards, mentor teammates, and ship models into production, balancing quick wins with robust engineering.\nIn particular, we are currently exploring ideas around using AI and OCR to process documents and learner work, and to validate marking consistency in a range of qualifications.\nTech focus: Python and AWS (or equivalents in Azure or GCP), with hands-on work across classical ML and modern LLM/RAG systems using services like Amazon SageMaker and Bedrock.\nWhat you’ll do\nPartner with stakeholders across the business to explore high-impact opportunities.\nOwn the full lifecycle: problem framing, data discovery, feature engineering, modelling, evaluation, deployment, monitoring, and iteration.\nBuild and productionize LLM features where appropriate (retrieval-augmented generation, evaluation, safety guardrails, cost/latency optimization) on AWS. \nContribute to DS/ML standards: experimentation, model governance, documentation, and reproducibility.\nMentor junior scientists, work with external contractors and collaborate closely with data engineering on pipelines and data quality.\nWhat you’ll bring\nA proven track record delivering projects in a Data Science or AI \nExperience deploying models to production,understanding of deployment options and trade-offs. \nPractical LLM experience: prompting, fine-tuning or adapter methods, and building RAG systems.\nOrchestration: for example LangChain for pipelines/agents. \nRAG best practices and evaluation workflows (e.g., agentic/RAG patterns on SageMaker). \nComfortable choosing the right technique for the job (from baselines to advanced models), with an emphasis on measurable impact and maintainability.\nClear communication with non-technical partners; ability to translate outcomes to business metrics.\nStrong Python for data science and ML; fluency with SQL.\nA degree in a relevant discipline, ideally with further post graduate qualification.\nRight to work in the UK \nNice to have\nExperience in one or more of our domains (assessment/psychometrics, workforce skills/ontologies, recommendations, fraud detection).\nFamiliarity with MLOps practices (CI/CD for ML, experiment tracking, data/version control) in a cloud environment.\nHow we work at Pearson\nPurpose-driven, learner-first; we prize curiosity, decency, and accountability, and we work to ensure everyone belongs and can grow their career.\nELS roles span multiple geographies and partner teams; collaboration and asynchronous communication are essential.\nThis is a hybrid role, located in Central London, with an expectation of 1-2 days in the office each week.","description_format":"text","description_chars":3282,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"United Kingdom","iso":"GB","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-09-27T23:45:59Z"},{"event":"close","at":"2026-09-29T23:54:00Z"}],"liveness":null,"pay":null,"html_url":"https://alion.io/job/pearson-advanced-specialist-data-scientist","json_url":"https://alion.io/job/pearson-advanced-specialist-data-scientist.json","meta":{"generated_at":"2026-10-01T21:05:02Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":3593,"day_limit":5000,"remaining_today":1407,"minute_limit":60,"resets_at":"2026-10-02T00:00:00Z"}}}