Overview
As a Senior Data Scientist at Faculty, you will steer high-impact AI projects and define the data science approach, combining hands-on coding with team leadership. You’ll design robust software architectures, mentor juniors, and secure delivery rigor while building strong client relationships. This role sits at the intersection of bespoke AI solutions and life sciences, contributing to practical, measurable outcomes for healthcare challenges. You’ll work with cross-functional teams to shape technical direction and advance Faculty’s reputation in applied AI.
Pay / Benefits
- diverse team
- intellectual curiosity
- professional challenge of a lifetime
- learn from brilliant minds
- cross-functional collaboration
Responsibilities
- Lead project teams delivering bespoke algorithms and high-stakes AI solutions for clients
- Define core data science approaches and design robust software architecture for engagements
- Mentor data scientists and support technical growth within the team
- Partner with commercial teams to shape project scope and ensure technical feasibility
- Contribute to thought leadership through courses, public speaking, or open-source projects
- Ensure best practices across project lifecycles for high-quality delivery
Key requirements
- Senior experience in data science or quantitative academia
- Fluent Python programming (NumPy, Pandas) and deep-learning framework (PyTorch)
- Deep expertise in supervised/unsupervised learning, NLP, validation
- Leadership mindset with focus on growing technical capabilities and collaboration
- Commercial awareness with client-facing experience and ability to translate business problems into rigorous math
- Experience in project planning, feasibility assessment, and delivering on tight timelines
- leadership
- collaboration
- client-facing communication
- Python
- NumPy
- Pandas
…
