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Full-time
postgraduate degree
Posted 59d ago
~40 hrs/week
Responsibilities
Lead the end-to-end development and architecture of advanced AI models and scalable pipelines to enhance legal analytics and risk scoring. Partner with stakeholders to translate business requirements into technical solutions while mentoring junior data scientists.
Requirements
Requires a Master's or PhD in a quantitative field with over 8 years of data science experience and 3+ years specializing in LLM or NLP systems. Must demonstrate proficiency in Python and experience deploying AI systems in cloud environments like AWS, Azure, or GCP.
Full job description
Key Responsibilities
Technical Leadership
Lead end-to-end development of advanced AI models (e.g.,LLM, NLP, classification, regression, deep learning).
Architect scalable model pipelines and data workflows in cloud-based environments.
Establish best practices in model validation, explainability, fairness, and governance.
Conduct rigorous experimentation, A/B testing, and performance monitoring.
Drive research into emerging AI techniques and evaluate applicability to LexisNexis products.
Product & Business Impact
Partner with Product, Engineering, and Business stakeholders to translate requirements into analytical solutions.
Identify opportunities to enhance risk scoring, entity resolution, legal analytics, fraud detection, compliance monitoring, or related product areas.
Present insights and recommendations to senior leadership and non-technical audiences.
Ensure models meet regulatory, compliance, and ethical AI standards.
Data & Platform Excellence
Work with structured and unstructured data, including legal texts, transactional data, and graph-based datasets.
Collaborate on data engineering strategies to ensure high-quality, scalable datasets.
Optimize model performance for production deployment.
Implement monitoring frameworks to ensure model robustness and stability.
Mentorship & Influence
Mentor and coach junior and mid-level data scientists.
Lead code reviews and promote reproducible research practices.
Contribute to strategic roadmap planning for data science initiatives.
Act as a subject matter expert in advanced analytics within the organization.
Required Qualifications
Master’s or PhD in Computer Science, Artificial Intelligence, Machine Learning, Natural Language Processing, or a related quantitative field.
8+ years of progressive experience in data science, applied machine learning, or AI engineering roles, with demonstrated ownership of production-grade systems.
3+ years of hands-on experience designing and deploying LLM-based systems or advanced NLP solutions within enterprise-scale products.
Strong programming proficiency in Python and deep experience with modern ML/NLP frameworks and tooling.
Demonstrated technical expertise in:
Deep understanding of LLM capabilities, limitations, and mitigation strategies across commercial (e.g., OpenAI, Anthropic) and open-source models
Design and implementation of Retrieval-Augmented Generation (RAG) architectures
Agent orchestration frameworks and multi-step tool-using agents
Prompt engineering, systematic prompt evaluation, and optimization methodologies
Embedding models, vector databases, and semantic retrieval techniques
Strong understanding of model evaluation methodologies
Proven experience deploying, monitoring, and optimizing AI systems in cloud environments (AWS, Azure, or GCP).
Strong written and verbal communication skills in English, with the ability to effectively collaborate across global teams.
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Regulatory compliance and product data management solutions for medical device manufacturers and pharmaceutical labelers
Industry
IT Services and IT Consulting
Company size
5,001-10,000 employees
Founded
1961
Headquarters
Horsham, Pennsylvania
LinkedIn followers
7,796
Healthcare relies on regulatory product data submissions for quality, safety, reliability and transparency, benefitting the entire supply chain. Reed Tech is proud to play a role as both a regulatory consultant and technology partner. Meet FDA and other global health authorities' submission requirements with confidence. Reed Tech offers data conversion, publishing, electronic submissions and content management solutions for the life sciences industry.
Offices: 7 Walnut Ave, Horsham, Pennsylvania 19044, US
UDIGlobal Data Synchronization NetworkSPLLDR for BiologicsMedical Device Data ManagementDrug Product Data ManagementMedical Device Safety and QualityGlobal UDI submissionsDrug Label ResearchGUDID UDI