Staff Scientist

In a world of immense uncertainty, digi

Lab is a pioneering AI company that empowers governments and organisations in safety‑critical or highly regulated industries to solve critical, complex, and high‑stakes challenges using machine learning and uncertainty quantification.

From forging a path to clean energy to life‑saving medical diagnostics and beyond, making critical decisions with unwavering confidence is difficult, especially when data is complex, sparse, or incomplete. This is where digi

Lab’s expertise shines through.

Our trustworthy and explainable AI platform, The Uncertainty Engine, supported by our team of machine learning specialists and data scientists, enables decision‑makers to accelerate innovation, reduce the risk of failure, turn insight into action, and deliver greater value through more informed and confident decisions.

A Staff Scientist contributes strongly to scientific development within theLab by owning and advancing significant areas of research, shaping scientific agendas and standards, and representing theLab’s work with external credibility and authority.

Operating with significant autonomy and external visibility, Staff Scientists steward internationally credible research programmes, contribute materially to theLab’s scientific reputation, and influence the intellectual culture of the organisation through technical excellence and thought leadership — without transitioning into organisational or operational management.

In this role, you will shape theLab’s research trajectory and external scientific presence:

• Own and lead significant fields, programmes, or portfolios of scientific inquiry, shaping research direction, priorities, and standards.
• Design and guide coherent research projects and programmes that advance theLab’s long‑term scientific capability and strategic intent.
• Engage with real‑world problems as contexts for scientific inquiry, leading work to test, refine, and apply research ideas to achieve tangible impact.
• Exercise deep scientific judgement on complex or ambiguous problems, setting expectations for rigour, methodology, and interpretation.
• Act as a scientific authority in external engagements, partnerships, and collaborations, representing theLab’s work and contributing to its reputation.
• Contribute to theLab’s research profile through publication in top tier journals, open repositories, conference participation, and other externally visible outputs.
• Provide structured technical and intellectual mentorship to scientists across theLab, supporting the development of technical depth, judgement, and expertise.
• Shape and steward research‑grade tools, libraries, and methodological frameworks as scientific artefacts, ensuring they support reproducibility, clarity, and reusability within research contexts.
• Influence theLab’s scientific culture by exemplifying high standards of rigour, curiosity, openness, and constructive challenge.

Duties may evolve, and you may be asked to take on other reasonable responsibilities within your competence to support our growth.

• Remain scientifically engaged through review, synthesis, and judgement, maintaining sufficient depth of understanding to credibly arbitrate priorities, standards, and trade‑offs across theLab.
• Collaborate closely with the Director of AI to ensure research agendas are viable, well‑supported, and appropriately resourced.
• Engage with Product and delivery teams through bounded scientific authority and consultation, without assuming ownership of execution.

• Advanced qualification (PhD or equivalent research experience) in AI, machine learning, computational science, mathematics, physics, or related discipline.
• Internationally recognised and evidenced track record of scientific contribution in one or more areas of technical specialisation.
• Demonstrated experience designing and leading research programmes or portfolios.
• Strong publication record and evidence of sustained external scientific engagement.
• Deep expertise in AI/ML methodologies, modelling, and evaluation frameworks.
• Ability to synthesise developments across multiple fields and identify long‑term research opportunities.
• Exp…