Senior Data Scientist

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