3,327 Climate Scientist jobs in the United Kingdom

Scientist – Loss Modelling (Physical Risk from Weather and Climate)

London – Hybrid

Up to £80,000

About the Role

Our client is building global-scale models to assess the physical risks of climate change and is looking for a Scientist with expertise in applied statistics and physical loss modelling.

This role is ideal for someone experienced in natural catastrophe modelling and confident working with large geospatial and financial loss datasets.

You’ll contribute to the development, calibration, and validation of loss models that project climate-related physical impacts such as floods, subsidence, storms, droughts, and wildfires — helping clients assess and manage climate risks effectively.

Key Responsibilities

• Develop loss models to quantify climate-related risks, with a focus on estimating asset vulnerabilities.
• Calibrate and validate models using a wide range of qualitative and quantitative data sources.
• Contribute to building a robust and adaptable loss modelling framework.
• Document methodologies and communicate scientific insights to stakeholders, clients, and at industry events and conferences.

What We’re Looking For

• Experience building and calibrating statistical/mathematical loss models, ideally across multiple perils.
• Proficiency with geospatial data (climate and Earth observation) and economic damage datasets.
• Strong programming skills in Python, R, or a similar language.
• Excellent communication skills, able to explain complex concepts to non-technical audiences.
• A self-starter who thrives in a fast-paced R&D environment.
• Experience in catastrophe modelling, especially around exposure and vulnerability.
• Applied statistical skills such as Bayesian statistics, uncertainty quantification, or Extreme Value Theory.
• Knowledge of machine learning applications in climate risk.
• Familiarity with cloud platforms (e.g., AWS, Google Cloud).

If this role looks of interest, please apply below.

Please note - this role does not offer sponsorship.

Scientist – Loss Modelling (Physical Risk from Weather and Climate)

London – Hybrid

Up to £80,000

About the Role

Our client is building global-scale models to assess the physical risks of climate change and is looking for a Scientist with expertise in applied statistics and physical loss modelling.

This role is ideal for someone experienced in natural catastrophe modelling and confident working with large geospatial and financial loss datasets.

You’ll contribute to the development, calibration, and validation of loss models that project climate-related physical impacts such as floods, subsidence, storms, droughts, and wildfires — helping clients assess and manage climate risks effectively.

Key Responsibilities

• Develop loss models to quantify climate-related risks, with a focus on estimating asset vulnerabilities.
• Calibrate and validate models using a wide range of qualitative and quantitative data sources.
• Contribute to building a robust and adaptable loss modelling framework.
• Document methodologies and communicate scientific insights to stakeholders, clients, and at industry events and conferences.

What We’re Looking For

• Experience building and calibrating statistical/mathematical loss models, ideally across multiple perils.
• Proficiency with geospatial data (climate and Earth observation) and economic damage datasets.
• Strong programming skills in Python, R, or a similar language.
• Excellent communication skills, able to explain complex concepts to non-technical audiences.
• A self-starter who thrives in a fast-paced R&D environment.
• Experience in catastrophe modelling, especially around exposure and vulnerability.
• Applied statistical skills such as Bayesian statistics, uncertainty quantification, or Extreme Value Theory.
• Knowledge of machine learning applications in climate risk.
• Familiarity with cloud platforms (e.g., AWS, Google Cloud).

If this role looks of interest, please apply below.

Please note - this role does not offer sponsorship.

Risk Modeller - Catastrophe / Climate / Data Scientist

Are you a skilled Risk Modeller ready to drive innovation in climate risk analysis? My client, a purpose-driven tech company in central London, is searching for a talented Catastrophe Risk Modeller to join its research-driven, high-impact team.

Why Join?

• £65k-£5k base + full benefits, 36+ days leave, 1k training conference budget and more
• Relocation assistance
• Play a central part in tackling the risks of climate change
• Direct impact on the development of global-scale loss models
• Modern, collaborative environment with a hybrid London office (three days onsite)
• Generous benefits: ,000 annual training & conference budget, annual leave, mental health support, and more
• Company supports relocation (including visa sponsorship and a relocation allowance) for the right candidate

The Company

My client is an industry leader building advanced models to quantify the physical and financial risks associated with climate change. With a diverse, dynamic team based in London, the company combines statistics, data science, and real-world climate observation to help global clients manage and mitigate their climate-related exposures. Its culture is founded on technical excellence, inclusivity, development, and real-world impact.

The Role

• Full lifecycle of building, testing and calibrating (not just analysts doing validation and calibration, and not just solely building)
• Not just using RMS , actually coding and building loss models with hazard model inputs
• Research, implement, and champion advanced loss models that quantify climate-related risks
• Calibrate and validate models using qualitative and quantitative techniques, ensuring scientific rigor
• Contribute to the design and evolution of a scalable loss modelling framework serving diverse geographies and use cases
• Work closely with geospatial and financial loss datasets, blending observation data with model output at local to global scales
• Document models, present results, and represent the team at stakeholder meetings, conferences, and industry events

Essential Requirements

• Demonstrable experience in building and calibrating catastrophe / loss models (ideally across multiple perils)
• Specific coding experience without relying on Moody's RMS.
• Proficiency working with geospatial/earth observation data AND large economic or financial loss datasets
• Programming expertise in Python and R
• Excellent communication, with the ability to make complex models accessible for non-technical stakeholders

Visa sponsorship will ONLY be available if ALL the above requirements are met.

What Will Make You Stand Out

• Advanced catastrophe modelling knowledge, especially in exposure/vulnerability domains
• Applied statistical skills in uncertainty quantification, Bayesian statistics, or Extreme Value Theory
• Machine learning experience related to climate risk or catastrophe modelling
• Experience with cloud platforms such as AWS or Google Cloud

If you are interested in this role, please apply with your CV through this site.

DISCLAIMER:

No terminology in this advert is intended to discriminate on the grounds of age, sex, race, religion or belief, disability, pregnancy and maternity, marriage and civil partnership, sexual orientation, gender, and/or gender reassignment, and we confirm that we are happy to accept applications from anyone for this role. Attis Global Ltd operates as an employment agency and employment business. More information can be found at attisglobal.com.

Keywords for search:

Risk Modeller, Catastrophe Modeler, Data Scientist, Climate Risk Analyst, Loss Modeller, Statistical Modelling, Earth Observation, Python Programming, R Programming, Catastrophe Modelling, Hazard Modeller, Geospatial Data, Climate Data Science, Extreme Value Theory, Data Scientist, Machine Learning, Bayesian Statistics, Exposure Modelling, Vulnerability Analysis, Model Builder, Hybrid Working, Visa Sponsorship, Relocation Support, Climate Analytics, Financial Risk, Physical Risk, Research Scientist, Data Modelling

Job Title: Research Scientist – Immunology

Location: On site in Slough

Role Overview:

Contribute to the advancement of therapeutic candidates throughout the research and clinical development pipeline. Execute translational in vitro assays to assess novel therapies, explore mechanisms of action, and uncover new therapeutic targets.

Key Responsibilities:

• Design and conduct functional assays for screening, mechanism-of-action studies, and target validation.
• Interpret scientific data and resolve technical challenges effectively.
• Collaborate across multiple projects, demonstrating strong communication and teamwork.
• Share findings in cross-functional meetings and ensure accurate documentation of experimental work.
• Complete required training and maintain compliance with internal procedures.
• Adhere to Human Tissue Act (HTA) regulations, ensuring all relevant policies are understood and training is current.
• Promote and maintain safe laboratory practices.

Required Skills & Experience:

• Hands-on experience with immune cell functional assays such as cytotoxicity, proliferation, mixed lymphocyte reactions, and antigen recall.
• Familiarity with Fc-mediated depletion assays including ADCC, ADCP, and CDC.
• Skilled in isolating primary immune cell subsets from whole blood using FACS and MACS.
• Proficient in multi-parameter flow cytometry, including the design of complex antibody panels for immune profiling.
• Competent in data analysis using tools such as FlowJo, GraphPad Prism, Excel, and R.
• Demonstrated compliance with HTA guidelines for handling human cells and tissues.
• Ability to manage multiple projects and prioritize tasks to meet deadlines.