Modelling Data Scientist, Vice President AI Labs

What you'll do

• Translate business needs from stakeholders into well-scoped AI and machine learning solutions.
• Design, build, and evaluate AI agents and agentic workflows using complex datasets.
• Rapidly prototype solutions using cutting-edge AI tools, orchestration platforms, and foundation model APIs.
• Build production-grade solutions that are reliable, scalable, and compliant with firm-wide safety standards.
• Develop and maintain evaluation frameworks to measure the quality, safety, and reliability of agents in production.
• Manage the entire solution lifecycle from initial research and prototyping to final productionalization.
• Present technical work and thought leadership to senior leaders through white papers and presentations.

What we're looking for

• A PhD in a quantitative field and 4+ years of professional experience are required.
• An MS degree in a quantitative field and 7+ years of professional experience in machine learning or data science are required.
• Strong familiarity with Python programming is required.
• A strong theoretical background and practical experience using AI, machine learning, optimization, or statistical techniques are required.
• Experience assessing performance of machine learning methods and agentic systems through benchmark construction and metric design is required.
• Ability to collaborate and communicate across cross-functional teams is required.
• Depth in research areas like LLM reasoning, reinforcement learning, or quantitative optimization is preferred.
• Academic publications, preprints, open-source contributions, and experience with specific AI frameworks or cloud platforms are preferred.