Senior Data Scientist

Salary: £100 – 120,000 base + substantial stock

Summary:

Fantastic opportunity for a Data Scientist who thrives on project ownership to join a growing AI-auditing tech firm.

Founded in 2023, and backed by some big-name investors, my client has built a trusted platform for safe and responsible deployment of AI systems. Their continuous auditing of AI models ensures transparency, independent oversight and fairness in HR and HR tech.

Reporting to the CTO and working collaboratively with the founders & product team, this role will involve hands-on analysis, methodological design and strategic thinking. You will define and elevate the analytical standards used in the evaluation of high-stakes AI systems, leading to increased customer confidence and further success.

As an early data hire, you will help shape the way in which the analytical function evolves and the scope of your own role. Currently an intentionally small, focused company of five people, they are looking to grow to 10 by mid-2026. Come and be a part of something special.

Skills and Experience Required:

Deep-level expertise in at least one of the following areas: AI bias & responsible AI, including fairness evaluation, model assessment, or design of responsible-AI practices in applied settings
HR analytics or I-O psychology, with experience in selection processes, adverse impact analysis, validity considerations, or defensible evaluation practices
Statistically rigorous analytical work in regulated or high-stakes environments; with fluency in statistical reasoning, demonstrated through defensible, reproducible analysis
Outstanding communication skills, adaptable to a variety of audiences
A collaborative, pragmatic mindset, skilled at tackling open-ended analytical problems
Motivated to help shape AI assurance going forward

Rewards and Incentives:

Hybrid working – 3 days/week in London office
Generous holiday allowance & budget for personal learning & development

Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.