Lead Data Scientist

KEY RESPONSIBILITIES:

• Lead high-impact analytical and modelling projects from problem definition to measurable business outcome.
• Translate ambiguous commercial questions into well-structured statistical or optimisation problems.
• Design and run robust analyses, including:
• Hypothesis testing
• Experimental design (A/B and quasi-experimental)
• Power calculations
• Model validation and back testing
• Build predictive and prescriptive models using appropriate statistical and machine-learning methods.
• Critically assess model assumptions, bias/variance trade-offs, overfitting risks, and data limitations.
• Clearly communicate uncertainty, limitations, and trade-offs to non-technical stakeholders.
• Partner with engineering teams to ensure models are implemented reliably and responsibly in production.
• Contribute to our standards for validation, documentation, and reproducible analytical practice.
• Mentor the junior members of the team.