Kettle

Senior Climate Scientist

New York, NY, US

Hybrid, RemoteFull time roleSenior Level

About 2 months ago

About the Job

The Role

We are looking for a Senior Climate Scientist with strong industry experience and a robust coding background to join our team. This role requires a blend of scientific expertise, technical proficiency, and communication skills, enabling you to not only contribute to our wildfire and climate models but also effectively pitch and discuss our models and systems with stakeholders.

Primary Responsibilities

  • Develop, refine, and validate climate and wildfire models to support underwriting and risk management.
  • Communicate complex scientific models and data-driven insights to both technical and non-technical audiences.
  • Collaborate closely with cross-functional teams, including engineering and underwriting.
  • Stay up-to-date with the latest climate science research, methodologies, and industry trends.
  • Design and implement Python-based analytical tools and models.
  • Analyze historical and predictive wildfire and climate data to improve model accuracy and effectiveness.
  • Assist in pitching our proprietary models and systems to potential clients, partners, and industry forums.

Requirements

Essential Experience of a Successful Candidate

  • PhD or Master's degree in Climate Science, Meteorology, Environmental Science, or a related field.
  • Proven industry experience in climate modeling, wildfire risk assessment, or similar domains.
  • Strong Python programming skills, including experience with data analysis libraries such as Pandas, NumPy, and geospatial tools.
  • Hands-on experience with climate and wildfire modeling techniques and tools.
  • Excellent communication skills, capable of simplifying complex models for diverse audiences.
  • Ability to work independently and within a collaborative team environment.

Useful Experience

  • Experience presenting at conferences or pitching scientific models to industry stakeholders.
  • Familiarity with machine learning techniques for climate data analysis.
  • Knowledge of geospatial data analysis and visualization frameworks.
  • Previous experience in the (re)insurance industry or working on natural catastrophe modeling.

Benefits

Why Join Kettle?

  • Be part of a mission-driven company tackling real-world challenges.
  • Work with a passionate and innovative team in a collaborative environment.
  • Opportunity to influence cutting-edge wildfire risk modeling in a dynamic industry.
  • Competitive salary and benefits package, including remote work flexibility.

About the Company

Kettle Logo

Kettle

Hamilton, Massachusetts, USA

21-50

<div> <div> <h1 data-cms-source="/src/index.html" data-cms-index="2"><strong>Insurers Can&rsquo;t Predict The Next Climate Crises, But We Are Getting Close.</strong></h1> </div> </div> <div> <div data-cms-source="/src/index.html" data-cms-index="3"> <p><strong>Extreme temperatures</strong></p> <p>Wildfires, hurricanes and extreme temperatures are contributing to $2.98 trillion in losses over the past decade.</p> </div> <div data-cms-source="/src/index.html" data-cms-index="4"> <p><strong>Underwriting Platform</strong></p> <p>We use deep learning to deliver better protections for people and more stable returns for the insurance industry.</p> </div> <div data-cms-source="/src/index.html" data-cms-index="5"> <p><strong>Transfer Risk</strong></p> <p>Kettle analyzes, holds and transfers risk to buyers who want to balance their portfolio.</p> </div> </div> <h3 data-cms-source="/src/index.html" data-cms-index="7">We Outperform The Industry</h3> <p data-cms-source="/src/index.html" data-cms-index="8">Kettle&rsquo;s proprietary machine learning algorithms use more than seven billion lines of satellite, weather, and ground truth data. These models use Swarm Neural Networks to find patterns that enable more accurate predictions, thereby reducing loss ratios.</p> <h3 data-cms-source="/src/index.html" data-cms-index="18">Predicting The California Wildfires</h3> <p data-cms-source="/src/index.html" data-cms-index="19">Our latest fire prediction model is using deep learning models to clean, organize, and analyze real time data to calculate probabilities of fire damage at the 0.5 square mile across the state of California.</p> <h3 data-cms-source="/src/index.html" data-cms-index="21">We Better Protect The World From Increasing Climate Crises</h3> <p data-cms-source="/src/index.html" data-cms-index="22">It is our ambition to use data to change our world for the better. To better protect our communities for the next catastrophe. And to contribute to a future where we can mitigate future catastrophes. We are showing how reinsurance can be a lever to improve our world.</p>

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