Senior Data Scientist II

Are you looking to develop your Data Scientist career? Would you enjoy training more junior team members? About the Team: LexisNexis Legal & Professional, which serves customers in more than 150 countries with 11,800 employees worldwide, is part of RELX (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 todayu2019s 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 ( About the Role: Join our team to help build state-of-the-art research tools. Our Data Science teams focus on extracting key information such as entities mentioned, sentiment analysis, data enrichments, predictive insights, and more to build best in class data and news streams relied on by our global customer base. Responsible for the endu2011tou2011end design and continuous evolution of a multimodal document understanding and structured data extraction platform: complex PDF / scanned page layout analysis, semantic extraction, structural reconstruction, quality validation, and business integration. Leads multimodal model strategy (vision + language + layout) and multiu2011agent collaboration (task decomposition, verification, conflict reconciliation, feedback loops) and plans future customized training and ongoing optimization of models. Responsibilities: + Design and iterate the multimodal document parsing pipeline: layout / structural modeling, semantic extraction, crossu2011modal alignment, structural reconstruction. + Build and optimize a multiu2011agent collaboration mechanism: task splitting, parallel / sequential scheduling, peer review, iterative quality improvement loops. + Define model selection / composition / routing strategies (dynamic dispatch by document type, structural patterns, quality signals). + Plan and execute model fineu2011tuning, domain adaptation, continual learning, active learning, and data feedback loops. + Establish endu2011tou2011end metrics: extraction accuracy, structural consistency, agent collaboration effectiveness, latency, stability, and cost. + Build quality assurance and risk controls: drift & anomaly monitoring, confidence estimation, fallback strategies, alignment / compliance checks. + Drive mapping and consistency between agent / model outputs and business knowledge field standards. Requirements: + Education: Masteru2019s degree or above in a quantitative or technical field (Statistics, Computer Science, Mathematics, Data Science, etc.). + Experience: 5+ years of handsu2011on machine learning / data science experience. Proven delivery experience in multimodal (vision + text) or complex document understanding. Practical cases of orchestrating agents (or modular processing logic) in production workflows. + Solid foundation in machine learning / deep learning fundamentals, multimodal representations, and crossu2011modal alignment concepts. + Deep understanding of core principles and common algorithms for multimodal large models: crossu2011modal attention & representation alignment, vision/text embedding fusion, hierarchical & layout structure modeling, instruction & contrastive paradigms, longu2011context and retrievalu2011augmented mechanisms, evaluation and failure mode dissection. + Familiar with classic image and signal processing methods: edge & contour detection, filtering & denoising, morphological operations, segmentation & key point feature extraction, frequency / timeu2011frequency analysis, image enhancement & quality assessment; understands tradeu2011offs and complementarity with deep features. + Knowledge of multiu2011agent collaboration patterns: role assignment, task routing, feedback loops, redundancy & crossu2011checks. Strong in statistical analysis & experimental design: hypothesis testing, factorial design, power analysis, A/B and multivariate evaluation. + Able to decompose complex problems and build metricu2011driven optimization paths. Rigorous in data quality & error analysis; rapid bottleneck identification. + Ability to translate research pseudou2011code into maintainable, testable Python modules with benchmarking & regression harnesses. Preferred Experience: + Designed customization / fineu2011tuning of multimodal foundation models, representation learning, or structural understanding subsystems. + Built an agent orchestration platform: task decomposition, iterative selfu2011checks, consensus or voting mechanisms. + Experience solving robustness & generalization challenges in largeu2011scale long documents / heterogeneous layouts. + Demonstrated results in cost optimization (model pruning, parameteru2011efficient tuning, inference acceleration) or adaptive load scheduling. + Publications / patents or openu2011source contributions. + Demonstrated Python systems optimization (e.g., custom Cython / CUDA kernels, vectorization replacing Python loops, latency reductions in inference pipelines). U.S. National Base Pay Range: $102,800 - $171,300. Geographic differentials may apply in some locations to better reflect local market rates. This job is eligible for an annual incentive bonus.We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer to our US full- and part-time employees working at least 20 hours or more per week:u25cf Health Benefits: Comprehensive, multi-carrier program for medical, dental and vision benefitsu25cf Retirement Benefits: 401(k) with match and an Employee Share Purchase Planu25cf Wellbeing: Wellness platform with incentives, Headspace app subscription, Employee Assistance and Time-off Programsu25cf Short-and-Long Term Disability, Life and Accidental Death Insurance, Critical Illness, and Hospital Indemnityu25cf Family Benefits, including bonding and family care leaves, adoption and surrogacy benefitsu25cf Health Savings, Health Care, Dependent Care and Commuter Spending Accountsu25cf In addition to annual Paid Time Off, we offer up to two days of paid leave each to participate in Employee Resource Groups and to volunteer with your charity of choice We 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. Criminals 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 scams here . Please read our Candidate Privacy Policy . We 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. USA Job Seekers: EEO Know Your Rights . RELX is a global provider of information-based analytics and decision tools for professional and business customers, enabling them to make better decisions, get better results and be more productive. Our purpose is to benefit society by developing products that help researchers advance scientific knowledge; doctors and nurses improve the lives of patients; lawyers promote the rule of law and achieve justice and fair results for their clients; businesses and governments prevent fraud; consumers access financial services and get fair prices on insurance; and customers learn about markets and complete transactions. Our purpose guides our actions beyond the products that we develop. It defines us as a company. Every day across RELX our employees are inspired to undertake initiatives that make unique contributions to society and the communities in which we operate.

Created: 2026-01-19