Data Scientist (Climate Risk) in Edinburgh

Data Scientist (Climate Risk) in Edinburgh

Edinburgh Full-Time 50000 - 65000 Β£ / year (est.) No working from home possible
AMS CWS

At a Glance

  • Tasks: Validate climate risk models and conduct quantitative analysis to ensure robust performance.
  • Company: Join a leading global workforce solutions partner committed to inclusivity and innovation.
  • Benefits: Flexible remote work options and a chance to make a real impact in sustainability.
  • Other info: 3-month contract with excellent opportunities for professional growth.
  • Why this job: Be at the forefront of climate risk modelling and contribute to a sustainable future.
  • Qualifications: Expertise in climate risk, advanced Python skills, and a degree in a quantitative field.

The predicted salary is between 50000 - 65000 Β£ per year.

AMS is a global workforce solutions partner committed to creating inclusive, dynamic, and future-ready workplaces.

We help organisations adapt, grow, and thrive in an ever-evolving world by building, shaping, and optimising diverse talent strategies.

Our Contingent Workforce Solutions (CWS) is one of our service offerings.

Acting as an extension of their recruitment teams, we connect them with skilled interim and temporary professionals, fostering workplaces where everyone can contribute and succeed.

Our client, a major UK retail bank, provides every day banking services to over 17 million retail customers.

The banks expertise and services span across Business Services, Corporate banking, Wealth Management, Group Functions, Retail and Investment Banking.

On behalf of this organisation, AMS are looking for a

Data Scientist for a 3 month contract based in Edinburgh with remote working available (Hybrid).

Purpose of the role

We are seeking an experienced

Data Scientist with specialist expertise in Climate Risk, Transition Planning and Sustainability Modelling to provide independent oversight and challenge of the organisation's data-driven models.

You will be responsible for conducting robust model validations, quantitative analysis and governance reviews across climate risk models, ensuring that model risks are identified, assessed and appropriately managed.

What you'll do

  • Perform independent validation of climate risk, forecasting, scenario analysis, stress testing and optimisation models.
  • Conduct quantitative analysis, sensitivity testing and model reviews to assess performance, robustness and fitness for purpose.
  • Evaluate model assumptions, methodologies, data quality, uncertainty and limitations, ensuring model risks are clearly identified and documented.
  • Assess compliance with regulatory requirements, including PRA SS1/23, and internal model risk standards.
  • Review model sub-components and controls, preparing validation checklists and governance documentation.
  • Produce high quality validation reports and papers for senior management, regulators and auditors.
  • Provide expert advice on climate risk modelling, transition planning and sustainability related analytics.

The skills you'll need

  • Strong expertise in climate risk, climate scenarios, decarbonisation pathways, net-zero strategies and emerging sustainability regulations.
  • Experience independently validating complex quantitative models, ideally within financial services.
  • Strong understanding of model risk management frameworks and governance.
  • Advanced Python skills for data manipulation, analysis and model assessment.
  • Experience reviewing and auditing model builds, with the ability to understand and challenge underlying model mechanics.
  • Degree in a quantitative discipline such as Mathematics, Statistics, Data Science, Economics, Engineering or Physics.
  • Next steps

This client will only accept workers operating via an Umbrella or PAYE engagement model.

If you are interested in applying for this position and meet the criteria outlined above, please click the link to apply and we will contact you with an update in due course.

AMS, a Recruitment Process Outsourcing Company, may in the delivery of some of its services be deemed to operate as an Employment Agency or an Employment Business

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Data Scientist (Climate Risk) in Edinburgh employer: AMS CWS

At AMS, we pride ourselves on being an exceptional employer that champions inclusivity and diversity in the workplace. Our partnership with PwC allows us to offer meaningful roles like the SAP Analytics Cloud (SAC) Planning Lead, where you can thrive in a high-performance culture that values ethical standards and professional growth. With flexible remote working options and a commitment to employee development, we empower our team members to make a significant impact while enjoying a supportive and dynamic work environment in London.

AMS CWS

Contact Details:

AMS CWS Recruitment Team

We think you need these skills to ace Data Scientist (Climate Risk) in Edinburgh

Climate Risk Expertise
Transition Planning
Sustainability Modelling
Model Validation
Quantitative Analysis
Scenario Analysis
Stress Testing