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About the Role
As a Lead Data Scientist at Faculty, you will drive the scientific direction and architectural rigour of upstream AI safety and evaluation standards. Partnering directly with Frontier Labs, you will lead the design of novel experiment frameworks, mentor technical teams, and ensure delivery excellence across high-stakes engagements. Bridging deep scientific research with client strategy, you will champion robust methodologies, guide cross-functional teams, and advance Faculty’s thought leadership in practical AI safety.
Responsibilities
- Directing project teams to deliver cutting-edge upstream AI safety solutions and evaluation standards to Frontier Labs
- Architecting core scientific experiment designs and robust software infrastructure for high-impact safety engagements
- Guiding and mentoring data scientists, nurturing technical capabilities, and fostering an inclusive, high-performing team culture
- Partnering with commercial leads and executive stakeholders to scope technical work, assess feasibility, and translate complex challenges into rigorous scientific frameworks
- Advancing Faculty’s industry leadership by innovating novel evaluation methodologies, speaking at key forums, or publishing open-source research
- Establishing and upholding scientific methodology, rigour, and engineering best practices across the full project lifecycle
Requirements
- Extensive leadership experience in quantitative data science, upstream AI safety research, or academic research with exemplary experiment design methodology
- Advanced Python expertise
- Deep familiarity with scientific stacks (NumPy, Pandas)
- Deep familiarity with AI evaluation frameworks (e.g., Inspect AI)
- Deep familiarity with agentic harnesses and sandboxing environments
- Passion for advancing evaluation standards across complex, specialised domains, including the application of novel research avenues, with exceptional technical rigour
- Ability to empower others, share technical knowledge, and cultivate a collaborative environment
- Strong commercial acumen
- Ability to articulate complex scientific strategies clearly to senior clients and external partners
- Ability to drive strategic execution, scoping high-impact projects effectively to meet structured timelines without compromising quality
Skills
- Python
- NumPy
- Pandas
- AI evaluation frameworks
- Agentic harnesses
- Sandboxing environments
Experience Level
- Extensive leadership experience
About the Company
- Faculty was established in 2014 with the belief that AI would be the most important technology of our time.
- Faculty has worked with over 350 global customers to transform their performance through human-centric AI.
- Faculty innovates, builds, and deploys responsible AI that makes a significant impact.
- Faculty possesses unparalleled depth of technical, product, and delivery expertise.
- Faculty serves clients across government, finance, retail, energy, life sciences, and defence.
- Faculty's business and reputation are growing rapidly.
- Faculty seeks individuals with intellectual curiosity and a desire to build a positive legacy through technology.
- Faculty empowers employees to envision and implement the most powerful applications of AI.
Equal Opportunity
- We aim to grow the best team - not the most similar one.
- Diversity of individuals fosters diversity of thought, which strengthens our principle of seeking truth.
- Diverse teams deliver better work, relevant to the world in which we live.
- We are united by a deep intellectual curiosity and desire to use our abilities for measurable positive impact.
- We strongly encourage applications from people of all backgrounds, ethnicities, genders, religions and sexual orientations.
- If you don’t meet all the requirements, but are excited by the role and know you bring some key strengths, please don't hesitate in applying.
- We are open to conversations about part-time hours.