As a Senior Climate Scientist, you will ensure our climate risk models, methodologies, and metrics are robust and meet the overall objectives of our Product Roadmap and our clients’ needs.

You will focus on utilising mathematical and computational techniques to estimate climate-related risks and financial models to quantify building and productivity losses from climate change. You will be accountable for the end-to-end development, maintenance and documentation of our hazard models. You will own models’ methodologies and archetypes, managing prioritisation of new hazards and hazard improvement, ensuring our data and models are kept up-to-date and fit-for-purpose.

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Key Accountabilities

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Model development and validation:

• Identifying fit-for-purpose model scope within commercial constraints
• Researching and developing hazard models and algorithms, managing the uncertainty in data, developing predictive modelling and implementing these models with our software engineers' support
• Contributing to  statistical, machine learning and advanced deep learning models to create complex hazard and impact models
• Conducting advanced data handling of temporal and spatial data to gain insights, perform analyses, and develop models. This includes preprocessing and enhancing data and building or using a wide range of datasets and databases such as CMIP6, Modis Satellite database, G-NAF, EM-DAT, Flood Provider data, and OpenAddresses.
• Applying climate science specialist expertise in extreme weather and climate phenomena to inform model development and risk assessment
• Using multi-model approaches to improve the robustness of climate predictions

Model management:

• Managing the ongoing documentation of models for internal and client stakeholders
• Managing and maintaining the inventory of models that track their development lifecycle
• Familiarity with standards (e.g., NGFS, IFRS, ESRS, etc.) and addressing how changes will impact our clients and projects   

Model governance and compliance:

• Working within and contributing to a regulatory-ready model governance standard
• Applying model governance policies, guidelines, and standards of practice to our scientific and engineering models underlying our systems
• Applying model governance frameworks to ensure accurate and reliable results
• Providing recommendations for model validation, model evaluation, change management and model usage and tooling to cover key information required for compliance with the model governance policies
• Ensuring compliance of the model governance policies with broader organisational governance standards
• Identifying, measuring, and mitigating risk. This includes things such as data quality, model quality, and potential impact on clients.

Org and business:

• Build and nurture relationships with peer researchers and organisations
• Delivering scientific insights, visuals, and data analyses to different stakeholders.
• Where appropriate, present scientific insights to external clients & stakeholders
• Contributing to growing science through the promotion of TCRG methodologies

Senior Scientists are also called upon to support the business and the teams with their own extended capabilities, including but not limited to:

• Partnerships (supporting the development of strategic plans and the commercial and cultural aspects of the business),
• Scientific insights communication (presenting scientific data and analytics insights),
• Technical advantage (translate technical features into customer value),
• Innovation (codifying and solving hard customer problems), and
• Leadership (mentoring and up-skilling data, science and product team members).   

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Capabilities 

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Core Capabilities

• Climate Science Expertise: Demonstrated understanding of climate systems, climate variability and change, and their impacts, including extreme events and hazard dynamics, with the ability to apply this knowledge in analytical and applied contexts.
  
  
• Scientific Research and Communication: Strong capability in designing, conducting, and interpreting scientific research using rigorous methodologies, with the ability to clearly communicate findings to both technical and non-technical audiences through written reports, presentations, and visual outputs.
  
  
• Statistics and Programming: Advanced capability in statistical analysis and computational methods, with strong proficiency in programming, particularly Python to support data processing, modelling, and analytical workflows.
  
  
• Scientific and Geospatial Data Tools: Practical experience using modern data science and geospatial libraries and frameworks, including xarray, geopandas, dask, rasterio, shapely, and machine learning frameworks such as PyTorch or TensorFlow, to manage, analyse, and scale complex datasets.
  
  
• Geographic Information Systems (GIS): Proficiency in the use of geographic information systems (e.g., QGIS) for spatial analysis, data integration, and visualisation of climate, hazard, and risk-related information.
  
  
• Mathematics, Analytics, and Modelling: Strong foundation in applied mathematics and analytics, including numerical methods, modelling techniques, and extreme value analysis, to support robust quantitative assessments and decision-making.
  
  
• Machine Learning, Deep Learning, and Automation: Experience applying machine learning and deep learning techniques to real-world problems, including the development of automated data pipelines, predictive models, and analytical tools.
  
  
• Hazard Model Development and Deployment: Proven capability to design, build, test, validate, and deploy hazard and risk models, ensuring they are scientifically robust, scalable, and fit for operational or commercial use.
  
  
• Regulations and Standards: Working knowledge of relevant regulatory frameworks, industry standards, and best-practice guidelines, and the ability to ensure analytical outputs and products align with these requirements.

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Extended Capabilities

• Scientific Insight Development and Stakeholder Engagement:  Ability to translate complex analytical results into clear, actionable scientific insights and effectively present these to stakeholders, including executives, clients, partners, and regulators.
  
  
• Data Visualisation:  Strong skills in creating clear, compelling, and accurate data visualisations that support understanding, decision-making, and communication of complex information.
  
  
• Risk and Financial Modelling: Experience applying analytical and modelling techniques to quantify risk and financial impacts, including scenario analysis and uncertainty assessment.
  
  
• Product Development: Capability to contribute to the design and development of data-driven products and services, from concept through to delivery, ensuring alignment with user needs and business objectives.
  
  
• Leadership and Knowledge Sharing:  Demonstrated leadership capability, including mentoring and developing others, sharing knowledge and best practice, and contributing to a collaborative, high-performing team culture.

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Relationships

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• Lead Developer for personal development
• Product Manager for day-to-day delivery and progress
• Scientists for knowledge sharing
• Science Forum to share their craft

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Why work with us?

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Want to know more about us and our work? Visit our Newsroom and explore our latest 2025 Physical Climate Risk Reports: https://xdi.systems/news.

We are a mission-led organisation powered by people who want to apply their professional skills to deliver meaningful, real-world outcomes on climate change. Our team is united by a strong alignment to our purpose and a culture where everyone is encouraged to contribute, challenge ideas, and be heard.

We take pride in maintaining an inclusive, supportive environment where we care deeply about wellbeing, teamwork is strong, and people feel connected to the bigger picture. You’ll find empowered, collaborative teams, clear alignment to organisational goals, and leadership that values clarity, trust and impact.

We also offer a range of generous employment conditions designed to support balance, autonomy and growth, including:

• Flexible working arrangements, including remote and hybrid working
• Fortnightly Wellbeing Days while remaining on full-time pay
• Access to our Employee Assistance Program
• Empowered, cross-functional ways of working
• A culture of continuous feedback and recognition

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Click Apply now to submit an application.

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