Consilio stands as the global leader in eDiscovery, document review, flexible legal talent, and legal advisory & transformation consulting services. With its Consilio Complete suite of capabilities, the company empowers multinational law firms and corporations using innovative software, cost-effective managed services, and deep legal and regulatory industry expertise.
The Lead Data Scientist in the Research & Rapid Prototyping team owns the research agenda for a problem area within our eDiscovery platform, translating ambiguous business needs into tractable research questions and driving them through to working prototypes.
This is a senior individual contributor role with significant technical influence. You will set the direction and the standard for how we apply Large Language Models and other advanced techniques to enterprise and legal documents, and you will mentor other data scientists on the team as you do it. The role is a natural stepping stone toward people leadership: you will develop and guide others without carrying formal line management responsibility.
· Technical Leadership: Own end-to-end delivery of research workstreams — from problem framing and scoping, through experimentation and prototyping, to handoff to engineering and product. Make and defend the technical calls that shape how a problem gets solved.
· LLM Specialisation: Set the direction for how we implement, fine-tune, and deploy local Large Language Models for eDiscovery, with a focus on their applicability and efficiency in processing and analysing legal documents such as emails and PDFs.
· Evaluation Methodology: Own the evaluation approach the team works to. Define what "good" looks like for legal-specific tasks, build the benchmarks that measure it, and ensure results are trustworthy enough to make decisions on.
· Mentorship & Team Development: Mentor junior and senior data scientists through experimental design reviews, code review, and pairing. Raise the bar on research rigour across the team and help others grow into more ambiguous work.
· Horizon Scanning: Evaluate emerging models, tools, and techniques, and make clear build/buy/adopt recommendations. Decide what merits investment, and what should be left alone for now.
· Rapid Prototyping: Quickly build prototypes that demonstrate how emerging technologies can be applied in practice, exercising the judgement to know when a prototype should move to production or whether to move on.
· Statistical Analysis & NLP: Apply statistical analysis and traditional NLP techniques alongside modern methods to extract insights and deepen our understanding of enterprise and legal documents.
· Stakeholder Influence: Communicate findings, limitations, and trade-offs clearly to non-technical leadership. Influence the product roadmap based on what is genuinely technically feasible.
· Multi-modal & Graph Technologies: (Nice to have) Work with multi-modal data (images, audio, etc.) and explore the integration of Knowledge Graphs and other emerging technologies to enrich our solutions.
· Experience: 5–8 years of applied data science or machine learning experience, including demonstrable depth in modern NLP.
· Education: Bachelor's degree in Computer Science, Data Science, or a related quantitative discipline. Master's preferred.
· Modern NLP Depth: Strong background working with LLMs, statistical analysis, traditional NLP, and enterprise documents, particularly legal and enterprise documents.
· Technical Stack: Hands-on experience with locally hosted and open-weight LLMs, and a working command of tooling such as:
o Serving & inference: vLLM and a working knowledge of deployment infrastructure (Kubernetes, containerisation etc)
o Modelling: PyTorch, Huggingface transformers, PEFT/LoRA fine-tuning
o Orchestration: LangGraph or comparable agentic/workflow frameworks
o Retrieval: embedding models and vector stores (pgvector or similar)
o Traditional NLP & ML: spaCy, scikit-learn
o Experimentation & delivery: experiment tracking (dvc or similar), Docker, Git
· Track Record: Evidence of research that reached production, or published, patented, or otherwise externally recognised work.
· Mentorship: Demonstrated experience mentoring or coaching other technical practitioners — not just willingness to do so.
Consilio, LLC is an EEO/Affirmative Action Employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability or any other legally protected status
Consilio stands as the global leader in eDiscovery, document review, flexible legal talent, and legal advisory & transformation consulting services. With its Consilio Complete suite of capabilities, the company empowers multinational law firms and corporations using innovative software, cost-effective managed services, and deep legal and regulatory industry expertise. Renowned for its expertise in litigation, HSR second requests, internal and regulatory investigations, eDiscovery, document review, information governance, compliance risk assessments, cybersecurity, law department management, and contracts management, Consilio also excels in legal staffing and recruitment through its Lawyers On Demand division. Consilio globally employs leading professionals in the industry, applying defensible workflows with patented and industry-proven technology across all phases of the eDiscovery and risk management lifecycle. ISOIEC 27001:2013 certified, the company operates offices, document review, and data centers across Europe, Asia, and North America. Discover more about Consilio’s commitment to legal excellence and innovation at www.consilio.com.
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