Data Scientist

1 month ago

London, Greater London, United Kingdom Moody's Full time
About the Role

We are seeking a highly skilled Data Scientist to join our Inland Flood team at Moody's RMS. As a key member of our multidisciplinary team, you will contribute to the development and application of complex statistical and numerical modeling methods for the quantification of natural hazard risk.

Key Responsibilities
  • Contribute to the scientific and technological development of large-scale flood hazard model components, including space-time stochastic rainfall models, rainfall-runoff processes, and hydraulic routing modeling.
  • Research and implement novel scientific techniques, such as machine learning in flood prediction and inundation forecasting.
  • Calibrate and validate model components through comparison to observed data, including benchmarking of flood inundation maps.
  • Evaluate final model output, including flood footprints, flood losses, and their spatial patterns using statistical methods and GIS tools.
  • Communicate research to clients and other stakeholders across teams.
Requirements
  • PhD in Hydrology, Hydraulics, Coastal and Ocean Engineering, Applied Mathematics, or a related discipline.
  • Strong programming ability in scientific and analytical scripting/programming languages, such as Fortran, R, Python, and C/C++.
  • Strong analytical skills and ability to effectively communicate insights to internal and external stakeholders.
Advantageous Skills
  • Knowledge of machine learning techniques applied to large environmental datasets.
  • Experience working with large-scale climate model datasets, such as GCMs, RCMs, or CORDEX.
  • Familiarity with large-scale model development projects on HPC environments in Linux.
  • Understanding of data-assimilation and/or forecasting environments, GIS tools, SQL, and a strong publication record.
About Moody's

Moodys is an equal opportunity employer. We are committed to creating an inclusive environment where everyone feels welcome to be who they are. We strive to turn today's risks into tomorrow's opportunities by uniting the brightest minds and fostering a culture of innovation, collaboration, and trust.

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