{"id":1205222,"url":"https://alion.io/job/relx-senior-data-scientist-ii-10","title":"Senior Data Scientist II","company":{"id":3770,"name":"RELX","domain":"relx.com","url":"https://alion.io/company/relx","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":80,"open_postings":142,"ghost_share":0,"stale_share":0.782,"repost_share":0,"time_to_fill_p50_days":30,"computed_at":"2026-10-15T05:46:00Z"}},"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":["Raleigh, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":104900,"max":174700,"currency":"USD","period":"year","gross":null,"usd_annual":174700},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Dependency Injection","optional":false},{"name":"Embeddings","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"OpenSearch","optional":false},{"name":"Pytest","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Reranking","optional":false},{"name":"Structured Outputs","optional":false},{"name":"Hallucination","optional":true},{"name":"Human-in-the-Loop","optional":true},{"name":"LLM Guardrails","optional":true},{"name":"Mypy","optional":true},{"name":"Pydantic","optional":true},{"name":"Tool Use","optional":true}],"status":"live","first_seen_at":"2026-09-24T23:17:49Z","employer_posted_date":"2026-09-24","last_verified_at":"2026-10-15T20:27:24Z","board_verified":true,"closed_at":null,"days_open":20,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":20},"description":"Are you excited about shaping the next generation of AI-powered legal technology through generative AI, retrieval systems, and production-grade machine learning?\nDo you enjoy building reliable, scalable applications that transform complex AI capabilities into impactful customer solutions?\nAbout our Team\nLexisNexis Legal & Professional, which serves customers in more than 150 countries with 11,800 employees worldwide, is part of RELX (http://www.relx.com), a global provider of information-based analytics and decision tools for professional and business customers. Our company has been a long-time leader in deploying AI and advanced technologies to the legal market to improve productivity and transform the overall business and practice of law, deploying ethical and powerful generative AI solutions with a flexible, multi-model approach that prioritizes using the best model from today’s top model creators for each individual legal use case. The company employs over 2,000 technologists, data scientists, and experts to develop, test, and validate solutions in line with RELX Responsible AI Principles (https://stories.relx.com/responsible-ai-principles/index.html).\nAbout the Role\nWe are looking for a Senior Data Scientist II with deep expertise in Generative AI, Retrieval-Augmented Generation (RAG), and agentic AI systems, combined with strong software-engineering fundamentals and demonstrated ownership of production applications. This role will focus on improving LLM-powered drafting and retrieval solutions through advanced search, embeddings, reranking, evaluation, and production-grade ML components.\nThe successful candidate must be able to independently design, refactor, test, review, deploy, and support clean, reliable Python applications. This includes separating agent responsibilities, designing for failure, applying sound algorithmic reasoning, and establishing appropriate logging, monitoring, testing, and operational controls.\nThe ideal candidate has advanced Python proficiency, experience with OpenSearch or Solr, success working in monorepo environments, and a strong record of cross-functional delivery.\nKey Responsibilities\nArchitect modular agentic applications with clear separation among retrieval, prompt construction, model invocation, tool execution, state and history management, orchestration, validation, and response formatting.\nIndependently refactor complex or legacy Python code to improve correctness, readability, modularity, extensibility, testability, and runtime performance.\nOwn production readiness for AI components, including input validation, exception handling, timeout management, retries with backoff, fallback behavior, configuration management, and secure handling of credentials.\nEstablish observability for LLM and retrieval workflows through structured logging, metrics, distributed tracing, alerting, and actionable error reporting.\nDesign clear interfaces and data contracts between retrieval, orchestration, model, and downstream application components.\nWrite comprehensive unit, integration, regression, and end-to-end tests, including tests for failure modes, malformed model responses, empty retrieval results, and unavailable dependencies.\nReview Python and agentic application code, identify architectural and operational risks, and provide actionable feedback aligned with production engineering standards.\nDiagnose and optimize latency, memory usage, retrieval performance, token consumption, model cost, and application scalability.\nApply appropriate data structures, algorithms, and computational-complexity analysis when designing and optimizing solutions.\nParticipate in production deployments, incident investigation, root-cause analysis, remediation, and continuous reliability improvements.\nRequired Qualifications\nAdvanced Python proficiency demonstrated through independently designing, implementing, debugging, testing, reviewing, and refactoring production applications.\nStrong command of Python fundamentals, standard data structures, common algorithms, object-oriented and functional design principles, type annotations, and time and space complexity analysis.\nDemonstrated ability to transform prototype or experimental code into modular, maintainable, observable, and production-ready systems.\nStrong understanding of software design principles, including separation of concerns, dependency injection, interface design, configuration management, and effective abstraction.\nExperience implementing automated unit, integration, regression, and end-to-end testing using tools such as pytest, including appropriate mocking of external services.\nExperience designing resilient distributed applications that account for timeouts, retries, rate limits, partial failures, malformed responses, idempotency, and graceful degradation.\nExperience with production observability, including structured logging, metrics, tracing, alerting, and incident troubleshooting.\nDemonstrated ability to conduct rigorous code reviews and identify correctness, maintainability, performance, security, testing, and operational risks.\nExperience taking technical ownership of applications across their lifecycle, from design and experimentation through deployment, monitoring, incident response, and ongoing improvement.\nStrong understanding of production LLM concerns, including structured output validation, context management, model and tool failures, prompt versioning, token and cost controls, security, and evaluation.\nPreferred Qualifications\nExperience with Python quality tooling such as pytest, ruff, mypy, profiling tools, and automated CI quality gates.\nExperience defining typed schemas and validating LLM inputs and outputs using tools such as Pydantic.\nExperience building evaluation frameworks for agentic systems, including task-completion, retrieval-quality, groundedness, hallucination, latency, reliability, and cost metrics.\nExperience implementing model fallbacks, tool-use controls, guardrails, human-in-the-loop workflows, and auditability for AI applications.\nExperience supporting production services and participating in incident response, root-cause analysis, and post-incident remediation.\nThe successful candidate will:\nDemonstrate senior-level Python proficiency and sound computer-science fundamentals.\nTreat correctness, maintainability, testing, resilience, security, and observability as core design requirements.\nRecognize architectural issues and improve code beyond simply making it functional.\nIndependently review and refactor complex agentic application code.\nMake clear engineering tradeoffs involving quality, latency, scalability, reliability, and cost.\nTake end-to-end ownership from experimentation through production deployment and operational support.\nCommunicate technical decisions and code-review feedback clearly and constructively.\nCombine strong LLM and retrieval expertise with disciplined software-engineering practices.\nWork in a Way That Works for You\nWe promote a healthy work/life balance across the organisation. 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.\nWorking Pattern\nWorking flexible 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\nLexisNexis Legal & Professional® provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision-making, achieve better outcomes, and advance the rule of law around the world. As a digital pioneer, the company was the first to bring legal and business information online with its Lexis® and Nexis® services. #AIFluent\n\nU.S. National Base Pay Range: $104,900 - $174,700. Geographic differentials may apply in some locations to better reflect local market rates.\n\nThis job is eligible for an annual incentive bonus.\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":9103,"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":["Parental leave"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Publishing","Exhibitions","Legal Software","Financial Data & Market Intelligence"],"lifecycle":[{"event":"open","at":"2026-09-24T23:17:49Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 257","filings_12m":257,"filings_prev_12m":227,"green_card_filings_12m":0,"median_offered_wage_usd":127500,"route":null,"cap_exempt":false,"checked_at":"2026-10-15T11:24:14+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)"],"filings_for_role_12m":77}],"liveness":{"score":55,"band":"ok","label":"Likely open","p_open":1,"p_active":0.617,"p_room":0.9,"age_days":20,"expected_fill_days":30,"reasons":["conf:19","stale_co","wave","velocity","win:mid","comp:brand"],"computed_at":"2026-10-15T05:46:00Z"},"pay":{"stated_usd_annual":174700,"is_top_pay":true},"html_url":"https://alion.io/job/relx-senior-data-scientist-ii-10","json_url":"https://alion.io/job/relx-senior-data-scientist-ii-10.json","meta":{"generated_at":"2026-10-15T21:13:51Z","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":32298,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-16T00:00:00Z"}},"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":3770},"rest":"https://alion.io/mcp/rest/get_company?id=3770"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Frelx-senior-data-scientist-ii-10"},{"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%2Frelx-senior-data-scientist-ii-10"},{"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%2Frelx-senior-data-scientist-ii-10"},{"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/relx-senior-data-scientist-ii-10\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Frelx-senior-data-scientist-ii-10"}]}