Senior Data Scientist II

Responsible for the end‑to‑end 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 multi‑agent collaboration (task decomposition, verification, conflict reconciliation, feedback loops), and plans future customized training and ongoing optimization of models.

Design and iterate the multimodal document parsing pipeline: layout / structural modeling, semantic extraction, cross‑modal alignment, structural reconstruction.

Build and optimize a multi‑agent 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 fine‑tuning, domain adaptation, continual learning, active learning, and data feedback loops.

Establish end‑to‑end 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.

• Education: Master's degree or above in a quantitative or technical field (Statistics, Computer Science, Mathematics, Data Science, etc.).

• Experience:5+ years of hands‑on 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.

• Capabilities:Solid foundation in machine learning / deep learning fundamentals, multimodal representations, and cross‑modal alignment concepts.Deep understanding of core principles and common algorithms for multimodal large models: cross‑modal attention & representation alignment, vision/text embedding fusion, hierarchical & layout structure modeling, instruction & contrastive paradigms, long‑context and retrieval‑augmented mechanisms, evaluation and failure mode dissection.

• Tools & Practices (general): multimodal modeling, model evaluation & tracking, experiment automation, data processing, and service‑oriented deployment (without binding to specific frameworks).Python engineering excellence: testing (pytest), packaging, reproducible environments, profiling (cProfile, line_profiler), and data workflow automation.

• Led or designed customization / fine‑tuning of multimodal foundation models, representation learning, or structural understanding subsystems.

• Built an agent orchestration platform: task decomposition, iterative self‑checks, consensus or voting mechanisms.

• Experience solving robustness & generalization challenges in large‑scale long documents / heterogeneous layouts.

• Demonstrated results in cost optimization (model pruning, parameter‑efficient tuning, inference acceleration) or adaptive load scheduling.

• First‑author or corresponding publications in top‑tier venues (NeurIPS / ICML / ICLR / ACL / EMNLP / CVPR / ECCV / KDD) or granted high‑impact patents.

• Core maintainer / significant contributor to relevant multimodal, LLM, agent orchestration, retrieval, or evaluation open‑source projects.

• Demonstrated Python systems optimization (e.g., custom Cython / CUDA kernels, vectorization replacing Python loops, latency reductions in inference pipelines).

Work in a way that works for you

We 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.

Working 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

Working for you

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:

- Medical and Life Insurance: Coverage for Medical and life risk.

- Long-Service Award: Recognition for loyalty and dedication.

- Marriage and New Baby Gifts: Celebratory tokens for special life events.

- Festivals and Birthday Gifts: Spreading joy on occasions that matter.

- Annual Medical Check-up: Prioritizing employee well-being through regular health check-ups.

- Flexible Benefits via CIIC Platform: Personalized benefits accessible through a user-friendly platform.

- Paid Time Off: Annual Leave, Flex Family Care Leave, Birthday Leave, Marriage Leave, Compassionate Leave, Medical and Hospitalization Leave, Examination Leave Gazetted Public Holiday

- Family Care leave (Maternity/Paternity Leave and Adoption Leave)

About the Business

LexisNexis 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.

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