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Flood Modeller

Previsico Limited

Location: Loughborough
Salary: Competitive
Hours: Full Time
Contract Type: Permanent
Placed On: 5th March 2024
Expires: 4th May 2024

We are looking for an experienced flood modeller to join our growing team and help us to build scale our flood forecasting system models across the globe. There will be opportunities to work on various parts of the model set-up process, including helping to incorporate new datasets into our modelling architecture and helping to validate model outputs to drive improvements in forecast skill. Leading on the daily and historical validation of flood forecasting, you will source, evaluate and process key datasets.

Contributing to our flood forecasting product development, you will also undertake bespoke flood modelling and risk assessment projects.

We strongly encourage applicants from diverse backgrounds to apply for this position, as we value and embrace the unique perspectives and experiences that individuals from all walks of life bring to our company and its culture. 

Key Responsibilities 

  • Sourcing, evaluating and processing key dataset for bespoke flood modelling projects and Previsico’s forecasting system.
  • Leading on daily monitoring and historical validation of flood forecasting using Python and GIS tools.
  • Sourcing flood data on a regular basis to help validate, calibrate and improve our forecasts, following flood events.
  • Leading and undertaking bespoke flood modelling and risk assessment projects
  • Supervising junior GIS analysts and quality-control their outputs
  • Contributing to Previsico’s flood forecasting product development by producing prototype python modules
  • Respond to flood events and operational issues upon requests
  • Supporting other software development and operational activities
  • Write and support innovation grants.
  • Write project reports and support sale and marketing team when required.
  • Ensuring proper documentation

Person specification

The ideal candidate will have a proven experience in python programming, 2D flood modelling, GIS and a related degree in Geography or Engineering with extensive experience in flood modelling. Also required:

Essential

  • Significant experience in flood modelling
  • Significant experience working in an agile commercial environment and willing to work in a busy innovative start-up company
  • Experience of independently delivering flood modelling projects
  • Experience of sourcing and processing large geospatial datasets for flood modelling and flood risk assessments
  • Proven python coding experience and experience of delivering substantial pieces of python codes in a research or commercial environment
  • Extensive experience with common geospatial processing Python libraries
  • Excellent GIS skills and a proven record in delivering large-scale data products
  • A sound knowledge of key concepts in hydrology and hydrodynamic modelling
  • A sound understanding of data requirements and availability for numerical flood modelling

Desirable

  • Experience and knowledge in the field of flood forecasting and flood early warning
  • Publication records
  • An MSc degree or equivalent
  • Experience of the AWS Cloud environment
  • Experience of the full development lifecycle from requirements analysis to design, development, testing and implementation.
  • Experience of other geospatial product development
  • Ability to work and communicate effectively as part of a team
  • Exceptional problem-solving skills
  • Ability to develop novel approaches to make improvements to our processes

Pay and working arrangements 

  • Salary will be competitive, reflecting the candidate's skills and experience.
  • 5% share options
  • 33 days holiday including statutory Bank Holidays.
  • Flexibility in terms of working location, our Head Office is based in Loughborough but remote working will be considered.
  • Only applicants with the right to work in the UK will be considered.
  • Company Pension
  • Company Events and away days

To apply 

  • Please send a CV and Cover Letter via the 'Apply' button above.
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