Climate Risk Data Scientist

About the role

We are seeking a Climate Risk Data Scientist to join a growing risk function within a leading banking client. The role focuses on independent validation and oversight of climate and sustainability models that support strategic planning, capital allocation, and transition initiatives.

Key responsibilities

• Validate climate forecasting, scenario analysis, stress‑testing and optimisation models.
• Assess model methodologies, assumptions, data quality, limitations and performance.
• Conduct sensitivity testing and quantitative analysis to identify model risks.
• Produce clear validation reports and recommendations for senior stakeholders and governance forums.
• Support model risk governance, regulatory compliance and validation controls.

Required profile

• Degree in Mathematics, Statistics, Economics, Engineering, Physics or Data Science.
• Strong knowledge of climate risk, transition planning, decarbonisation pathways, climate scenarios and net‑zero strategies.
• Experience validating complex quantitative models, preferably in financial services or regulatory environments.
• Advanced analytical ability and proficiency in Python for data analysis and model assessment.
• Excellent report‑writing and stakeholder‑management skills, with the ability to communicate technical findings to senior audiences.
• Familiarity with model‑risk regulations such as SS1/23 is advantageous.

Required skills

• Python

What we offer

• 3‑month contract inside IR35.
• Hybrid working arrangement based in Edinburgh.
• Competitive daily rate of £400‑£500.