Geospatial and Climate Analytics: Utilize advanced geospatial analysis techniques and climate models to assess climate risks and impacts on various sectors, including energy, infrastructure, and natural resources
Machine Learning and Data Science: Develop and apply machine learning models and data-driven approaches to predict climate extremes, analyze environmental data, and support climate resilience and adaptation strategies
Data Curation: Supporting the maintenance and development of a cloud repository of raw and processed climate data and related information sources
Cloud analytics: Ability to work alongside the team to develop data management and data analytics in cloud, with existing infrastructure
Climate Risk Assessment: Evaluate physical and transitional climate risks, integrate findings into financial models, and develop risk mitigation strategies for clients using state-of-art geospatial tools and machine learning methods
Client Communication: Prepare and present high-quality reports and presentations that clearly communicate complex analyses and recommendations to a non-technical audience
Business Development: Contribute to the growth of the Climate Science and ESG Consulting team by supporting business development activities, including proposal writing and client relationship management.