Senior Data Scientist

CV Technical LTD; Greater London; On-site; GBP 70,000 - 90,000; Full time

Job summary

An AI-focused company in Greater London is seeking a Senior Data Scientist to define analytical standards for evaluating high-stakes AI systems. You will work closely with leadership and product teams, maintaining rigorous methodologies and translating regulations into clear audit procedures. This role offers significant autonomy to shape analytical functions as the organization grows. Candidates should possess a strong background in statistical analysis and bias evaluation, focusing on the long-term evolution of AI assurance strategies.

Qualifications

• Experience with statistical tests and fairness metrics.
• Strong analytical skills with a focus on high-stakes AI systems.
• Ability to translate regulations into evaluative practices.

Responsibilities

• Define and maintain analytical methodologies for AI systems.
• Translate standards into clear evaluation procedures.
• Design workflows and datasets for high-quality audits.

Skills

Statistical analysis

Bias evaluation

Methodological design

Regulatory understanding

Job description

Job Description

CV Technical are partnered with a scaling AI Start‑up who are looking for an experienced Senior Data Scientist to help define and uphold the analytical standards used to evaluate high‑stakes AI systems.

This role sits at the intersection of fairness and bias evaluation, rigorous statistical analysis, and applied understanding of hiring and selection processes.

You’ll work closely with senior technical leadership, founders, and product teams across hands‑on analysis, methodological design, and strategic thinking. As one of the earliest data hires, you’ll have significant autonomy to shape both the analytical function and the scope of the role as the organisation grows.

What you’ll work on :

• Defining and maintaining rigorous analytical methodologies, including statistical tests, fairness metrics, sampling strategies, and validation practices.
• Translating regulations, standards, and guidance into clear, defensible evaluation and audit procedures.
• Designing foundations for consistent, high‑quality audit execution, including datasets, workflows, and reusable analysis frameworks.
• Taking a long‑term view on emerging risks, regulatory shifts, and industry trends, and helping evolve the organisation’s AI assurance approach.

Anticipating future data and analytical capabilities needed ...