Lead Data Scientist (AI Safety)

Location: London, United Kingdom; hybrid

Company

hirify.global develops and deploys responsible AI solutions for customers across government, finance, retail, energy, life sciences, and defence.

What you will do

• Direct project teams delivering upstream AI safety solutions and evaluation standards to Frontier Labs.
• Architect scientific experiment designs and robust software infrastructure for high-impact safety engagements.
• Guide and mentor data scientists while fostering an inclusive, high-performing team culture.
• Partner with commercial leads and executive stakeholders to scope technical work, assess feasibility, and translate complex challenges into rigorous scientific frameworks.
• Advance industry leadership through novel evaluation methodologies, speaking at key forums, and publishing open-source research.
• Establish 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 and deep familiarity with scientific stacks including NumPy and Pandas, AI evaluation frameworks such as Inspect AI, and agentic harnesses and sandboxing environments.
• Passion for advancing evaluation standards across complex, specialised domains, including applying novel research avenues, with exceptional technical rigour.
• Ability to empower others, share technical knowledge, and cultivate a collaborative environment.
• Strong commercial acumen and ability to articulate complex scientific strategies clearly to senior clients and external partners.
• Ability to drive strategic execution and scope high-impact projects to meet structured timelines without compromising quality.

Culture & Benefits

• Work on responsible AI with measurable positive impact across high-stakes domains.
• Collaborate with intellectually curious colleagues and external Frontier Labs partners.
• hirify.global supports diversity of individuals, backgrounds, and perspectives.
• Part-time hours may be discussed.
• AI may be used for research and interview preparation, but not to generate answers during live interviews; interview note-taking is performed by Metaview, with an opt-out available.

Hiring process

• Talent Team screen: 30 minutes.
• Introduction to the team: 30 minutes.
• Take-home technical assessment.
• Technical interview: 90 minutes, followed by a commercial interview: 60 minutes.