- Entry level
- No Education
- Salary to negotiate
To provide in-depth analysis of weather and climate data with the goal of identifying relationships, patterns and signals in this data which could lead to the development of new forecasting tools and increasing weather forecasting skill for Meteorologists and Energy Traders.
Conducting data analysis of large datasets, extensive coding to perform complex processing and manipulation of gridded atmospheric data
Coding models and tools to improve internal weather forecast views
Coding new GUI tools for operational use by meteorologists and analysts.
Close collaboration with IT to ensure smooth (weather) data flows from and to internal Databases
Conducting time-sensitive ad-hoc analyses on specific weather events
Visualisation of quantitative results and analyses
This list is not exhaustive and may include other tasks assigned by the manager.
At least 3 years’ programming experience with Python (including use of packages such as numpy, pandas, cartopy, matplotlib, xarray, netcdf4 etc.) is essential
Experience with Atmospheric and Climate model data in combination with quantitative data analytics or statistics
Proficient with Python coding as well as SQL. Exposure to VBA and MATLAB an advantage.
Experience working with GRIB and NetCDF files and in handling large (multidimensional) environmental data sets (e.g. gridded reanalysis and forecast data) as well as time series
Experience with weather specific command line tools such as CDO, NCO, NCL or wgrib2
Proven ability to derive statistics and information from large complex data sets.
Experience with web scraping tools (e.g. Selenium, beautifulsoup, etc.) and tool automatization
An understanding of machine learning techniques would be beneficial as would knowledge of database structures and/or cloud services (e.g. Azure).
A passion for data analysis in the weather and climate domain
Educated to degree level in meteorology, or a technical / mathematical degree
Excellent communication skills; fluency in written and spoken English
Strong interpersonal skills with a solid teamwork ethic
Strong attention to detail with an ability to multitask and prioritize in a high-paced environment
Ability to explain scientific results to non-experts
Hours of work:
40 hrs per week