Senior Data Scientist
London (Hybrid, London) £100,000 to £120,000 + equity
This is a rare opportunity to join a fast-growing AI assurance business at a pivotal stage of its growth. You will play a critical role in shaping how high-stakes AI systems are evaluated, bringing statistical rigour and credibility to work that has real regulatory and legal impact. No sponsorship available.
The Company
They are an early-stage AI assurance organisation operating in a highly regulated and rapidly evolving market. Their work focuses on the independent evaluation of AI systems used in sensitive decision-making contexts, helping organisations demonstrate fairness, accountability, and compliance. With strong commercial traction and a predominantly US-based customer base, they are scaling quickly while maintaining a high bar for analytical quality.
The Role
As a Senior Data Scientist, you will take ownership of the analytical methodologies that underpin the evaluation of AI systems. This role is research-led and statistically focused, rather than centred on building production machine learning models.
Key responsibilities include:
- Designing and running rigorous statistical tests to evaluate bias, fairness, and consistency in AI-driven systems
- Defining defensible methodologies for scoring, ranking, and interpreting AI outputs
- Building and validating synthetic datasets and test scenarios to assess system behaviour
- Leading research-driven experimentation to explore correlations, behavioural variables, and edge cases
- Setting quality and evidence thresholds for what constitutes statistically valid and defensible results
- Working closely with founders, product, and technical teams on high-impact analytical questions
Your Skills & Experience
You will bring strong applied experience in statistical analysis and AI evaluation, with the confidence to make judgement calls in ambiguous, high-stakes environments.
Key requirements include:
- Strong commercial experience in applied statistics and experimental design
- Proven capability in bias and fairness evaluation for AI or algorithmic systems
- Experience generating and validating synthetic data for testing or assurance purposes
- Ability to critically assess methodology, limitations, and real-world implications of analytical outputs
- Confidence communicating complex findings clearly to both technical and non-technical stakeholders
- Python experience for statistical analysis and reproducible research workflows
A PhD or advanced academic background in a relevant field is advantageous, but not essential if you bring strong applied industry experience.
What They Offer
- Salary of £100,000 to £120,000 plus meaningful equity
- Hybrid working model with three days per week in a London office
- High autonomy and influence in an early-stage, high-growth environment
- The opportunity to shape industry standards in responsible and compliant AI
- Clear progression as the data and analytics function scales
How to Apply
Apply below of this sounds like the perfect opportunity for you, or email me at
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