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Climate Scientist (Storms)

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Climate X

23d ago

  • Job
    Full-time
    Mid Level
  • Science
    Sustainability
  • London

AI generated summary

  • You need 3 years in cyclone research, Python cloud computing skills, strong communication, and a PhD or equivalent in climate science or related fields. Drive real-world impact under tight deadlines.
  • You will refine storm models, evaluate outputs, communicate findings, engage stakeholders, and collaborate with scientists on integrated storm risk models.

Requirements

  • 3 years relevant industry or post-doctoral experience working on tropical cyclones or extra-tropical cyclones.
  • Experience leveraging scientific computing techniques using Python in a cloud/remote environment.
  • Strong communication skills with ability to explain complex concepts to a non-technical audience.
  • A desire to use scientific expertise to drive real-world impact by understanding client and product needs, and work under tight deadlines to enhance our customer offering.
  • PhD or equivalent experience in climate science, hazard modeling or statistical analysis.

Responsibilities

  • Undertake cutting-edge scientific model development by leading the refinement of our storm models based on scientific research and applying tropical cyclone and storm surge models in new geographies.
  • Lead robust model evaluation and verification work to evaluate the model outputs and document models for internal and external communication for banking clients.
  • Disseminate scientific insights and methods to engage with stakeholders, customers, the scientific community - representing the team at international conferences and industry events.
  • Collaborate across scientific and technical domains through working with other climate and geospatial scientists co-develop integrated storm risk (hazard and loss) models.

FAQs

What are the primary responsibilities of a Climate Scientist focusing on storms?

The primary responsibilities include refining storm models based on scientific research, leading model evaluation and verification work, disseminating scientific insights to stakeholders, and collaborating with other scientists to co-develop integrated storm risk models.

What qualifications are required for this position?

A PhD or equivalent experience in climate science, hazard modeling, or statistical analysis is required.

Is prior experience in climate science necessary for this role?

Yes, at least 3 years of relevant industry or post-doctoral experience working on tropical or extra-tropical cyclones is essential.

What programming skills should I have to apply for this role?

Applicants should have experience leveraging scientific computing techniques using Python in a cloud or remote environment.

Are there opportunities for professional development in this role?

Yes, there is a monthly training and conference budget of £1,000 per year to help employees upskill and develop their careers.

Is experience with catastrophe models a requirement for the Climate Scientist position?

No, while experience with catastrophe models is desirable, it is not a requirement for the role.

What type of work environment can I expect in this role?

The role offers a hybrid working environment, with employees expected to be in the office 3 days a week, during core hours from 10 am to 4 pm.

What type of support does the company provide for mental health and wellbeing?

The company offers mental health and wellbeing support through the service Oliva.

How many holidays do employees receive?

Employees receive 25 days of holiday, plus bank holidays, an annual 3-day Christmas closure, and a half day off on their birthday, totaling 36.5 days.

Are there any benefits related to family leave?

Yes, the company provides enhanced maternity and paternity leave, as well as "pawternity" leave for pet-related time off.

Unlocking the power of climate data and analytics globally to build a better future for our planet.

Finance
Industry
11-50
Employees
2020
Founded Year

Mission & Purpose

Unlocking the power of climate risk data with global coverage and granular analytics to build a better future for everyone and everything on our planet.