Senior Applied Data Scientist - AI Fairness & Compliance

Warden AI; Greater London; Hybrid; GBP 100,000 - 120,000; Full time

Benefits offered by this job

Private health insurance

33 days holiday (incl. bank holidays)

Hybrid working model

Learning and Development budget

Job summary

Warden AI is hiring a Senior Data Scientist / Senior Applied Scientist to run highly defensible bias audits of high-stakes AI systems, used from startups to enterprises. You’ll join a team with expertise in behavioral and social sciences, evaluation methodology, and structured bias testing, reporting to the CTO.

You will translate regulations into practical audit methodologies, design datasets and dashboards, and communicate findings to customers, regulators, and internal stakeholders with

Qualifications

• Experience in a commercial, high-performing product organization.
• Strong statistical and probabilistic reasoning with confidence intervals and hypothesis testing.
• Experience designing evaluation methodologies including black-box and counterfactual approaches.
• Practical familiarity with evaluating AI systems and their failure modes.

Responsibilities

• Set and uphold rigorous statistical methodology and evaluation frameworks.
• Translate regulations and standards into practical audit tests.
• Design datasets, test frameworks, and workflows for audits.
• Analyze and interpret audit results and present actionable insights.
• Support high-stakes conversations with customers and regulators.

Skills

5+ years experience

Applied statistics

Python

Experimental design

Causal inference

Bayesian modeling

Tools

Python

Job description

Warden AI is hiring a Senior Data Scientist / Senior Applied Scientist to run highly defensible bias audits of high-stakes AI systems, used from startups to enterprises. You’ll join a team with expertise in behavioral and social sciences, evaluation methodology, and structured bias testing, reporting to the CTO.

You will translate regulations into practical audit methodologies, design datasets and dashboards, and communicate findings to customers, regulators, and internal stakeholders with