Senior Data Scientist

As a Senior Data Scientist at Faculty, you will lead high-impact AI projects and shape the technical direction of bespoke solutions.

This role requires hands-on technical excellence combined with crucial team leadership. You will define data science approaches, design robust software architectures, mentor junior colleagues, and ensure delivery rigour across projects all while building deep client relationships and solidifying Faculty's reputation as a leader in practical, measurable AI.

Responsibilities:

• Lead project teams that deliver bespoke algorithms and high-stakes AI solutions to clients across sectors.
• Conceive the core data science approach and design the associated robust software architecture for new engagements.
• Mentor a small number of data scientists and support the professional growth of technical team members on projects.
• Partner with commercial teams to build client relationships and shape project scope for technical feasibility.
• Contribute to Faculty's thought leadership and reputation through delivering courses, public speaking, or open-source projects.
• Ensure best practices are followed throughout the project lifecycle to guarantee high-quality, impactful delivery.

Requirements:

• Possess senior experience in a professional data science position or a quantitative academic field.
• Demonstrate strong programming skills, with the ability to be a fluent Python programmer, using core libraries (NumPy, Pandas) and a deep-learning framework (e.g., PyTorch).
• Have deep expertise in core data science paradigms (supervised/unsupervised, NLP, validation), demonstrating proficiency across the standard data science toolkit, including the ability to develop new, innovative algorithms.
• Bring a leadership mindset, focused on growing the technical capabilities of the team and nurturing a collaborative culture.
• Exhibit commercial awareness, with experience in client-facing work and the ability to translate business problems into a rigorous mathematical framework.
• Be skilled in project planning, assessing technical feasibility, estimating delivery timelines, and leading a team to deliver high-quality work on a strict schedule.