Our Client is seeking a Senior Manager of Data Science.
Key Responsibilities:
Scope & Impact:
- Set the vision and strategic priorities, acting as a recognized expert for Data Science
- Lead and develop a team of data scientists and ML engineers, setting the cultural tone for the group
- Drive applied research with a clear path to production, explicitly balancing innovation against real-world constraints including latency, cost, and reliability
- Build and scale evaluation science capabilities within the team, including offline evaluation frameworks, automated benchmarking pipelines, and human-in-the-loop feedback systems to rigorously measure model quality and business impact
- Champion hands-on rapid prototyping and iteration
- Collaborate with other Data Science teams to maximize re-use of components and patterns, eliminating waste, duplication and unnecessary customization
- Operate with broad scope, coordinating across multiple cross-functional teams, systems, and domains
Technical & Product Leadership:
- Collaborate closely with other Data Science teams, to define and execute the AI roadmap across the content lifecycle, maximizing reuse in areas including: Content collection (e.g. -web scraping-) and transformation; Metadata extraction, enrichment, and classification; Agentic workflows turning real-world events and legal content into legal intelligence; AI-powered downstream product capabilities
- Design and deploy scalable, production-grade AI systems, including: LLM-powered document understanding and generation; Agentic workflows balancing agent autonomy and efficiency with required structure and accuracy; Retrieval-augmented generation (RAG) pipelines; Hybrid ML + rules-based systems for structured content
- Lead through execution and by example: Actively writing code, not just delegating
Requirements
- Advanced degree (Master’s or PhD) in Data Science, Computer Science, Statistics, or a related field strongly preferred, or equivalent practical experience
- Bachelor’s degree in a relevant field with significant applied experience in data science, machine learning, or AI
- 8+ years of relevant experience in data science, machine learning, or applied AI
- 4+ years of leadership experience (direct or indirect team management)
- Cloud infrastructure experience on AWS (preferred), Azure, or GCP
- Familiarity with vector databases, knowledge graphs, and hybrid retrieval architecture, CI/CD, RESTful API Design and model serving tools
- Familiarity with AI Coding Tools (e.g. GitHub CoPilot, Claude Code, OpenAI Codex)
- Proficient with Python, ML and LLM tooling such as Google ADK, LangChain, ML Frameworks (e.g. TensorFlow, PyTorch) and prompt tuning techniques
Preferred Background:
- Graduate degree in Computer Science, AI, Machine Learning, or equivalent experience
- 8+ years of post-degree experience, with 4+ years in a data science or applied AI leadership role, with a focus on NLP/LLM systems
- Prior experience in legal tech, legal AI, or document-intensive domains is highly desirable
- Familiarity with ethical/legal considerations in deploying generative AI in professional settings
Success in this role requires:
- Leading through both technical expertise and organizational influence
- Acting as a change agent, embedding best practices into workflows and systems
- Driving both team development and strategic outcomes across a broad scope
- Ability to select the right tools and technologies to solve business problemsq
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Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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