2 of 2 Part-Time Python Jobs in the Thames Valley

usability. Required Skills & Experience A good degree (2:1+) in a numerate discipline (Hydrology, Environmental Science, Civil Engineering, etc.). Strong programming skills in Python and/or R. Experience developing machine learning models for environmental or complex datasets. Confidence working with spatial/temporal datasets (NetCDF, ASCII, etc.). … welcome but not essential. What you can expect in year one: Build deep expertise in Qube, CERF, and the FEH flood modelling suite. Develop Python modules and apply ML methods to hydrological problems. Become familiar with UK water environment regulatory frameworks. Collaborate with leading UKCEH scientists and liaise with ...

numerate discipline such as Hydrology, Environmental Science, Civil Engineering, or similar. A postgraduate qualification is desirable but not essential. Strong programming skills in Python and/or R. Practical experience developing and applying machine learning models to environmental or hydrological data. Ability to work with complex spatial and temporal datasets … During your first 12 months, you can expect to: Build a strong understanding of the organisation's hydrological and flood modelling software tools. Develop Python modules and apply machine learning techniques to real-world hydrological challenges. Gain exposure to the UK regulatory framework for water and environmental management. Collaborate with ...