Data Scientist - Intercontinental Exchange

ZipRecruiter; London; On-site; GBP 50,000 - 90,000; Full time

Job summary

Join a forward-thinking company as a Climate Data Scientist, where you'll play a vital role in addressing climate change and socioeconomic inequality. This full-time position in London involves analyzing global climate risk data, utilizing advanced geospatial techniques, and contributing to innovative climate models. Collaborate with a dedicated team of scientists and analysts to enhance our understanding of climate impacts on various sectors. If you're passionate about climate science and data, this is an exciting opportunity to make a meaningful impact in a dynamic environment.

Qualifications

• PhD or Master's degree in climate science, data science, or related field.
• Expertise in acute and chronic physical risks, especially wildfire and flood.

Responsibilities

• Analyze global physical climate risk data and develop models linking climate stressors to economic impacts.
• Coordinate across multiple internal teams, including product management and client services.

Skills

Climate Science

Geospatial Analysis

Data Science

SQL

Python

R

Catastrophe Modeling

Analytical Skills

Problem-Solving Skills

Communication Skills

Education

PhD in Climate Science

Master's in Data Science

Tools

Google Cloud Platform

BigQuery

Cloud SQL

Job description

Job Description

Job Purpose

Intercontinental Exchange's (ICE's) Climate Team is a leading provider of analytics and insights that underpin the financial sector's ability to respond to the interrelated crises of climate change and widening socioeconomic inequality.

We are searching for a multi-skilled candidate with expertise in climate science, geospatial analysis, and data science for the position of Climate Data Scientist. The data scientist will be responsible for supporting our global climate and ESG initiatives as part of our growing ICE Climate team, working alongside likeminded scientists, analysts, and engineers. The person will be part of a team responsible for planning, conducting, and coordinating in-house research. The job is a full-time position in London with a requirement to be in the office four days a week.

Upcoming initiatives the successful candidate will contribute to include:

• Sourcing, processing, and analyzing global wildfire, hurricane, and flood data sets
• Utilise advanced geospatial analysis techniques and climate models to assess global climate risks and impacts on various sectors
• Contribute to the enhancement and development of the inhouse global physical risk models
• Interpret and apply data in complex analyses and explain findings to business audiences to improve products and processes
• Developing documentation and discussion points around climate data for dissemination to clients

Responsibilities

• Analyzing global physical climate risk data
• Ability to work alongside the team to analyze climate data in BigQuery
• Building models linking climate stressors to economic impacts
• Programming and writing scripts to perform geospatial analyses
• Coordinate across multiple internal teams, including product management, business development and general client services

Knowledge and Experience

• PhD or Master's degree in climate science, data science, or related field
• Expertise in acute and chronic physical risks, especially wildfire, flood, hurricane, and extreme temperature risk
• Experience in catastrophe modeling, including model evaluation and/or development
• Industry experience
• Proficiency with database programming such as SQL, R, and Python
• Outstanding quantitative skill set
• Attention to detail and good problem-solving skills
• Analytical mindset
• Excellent written and verbal communication

In addition to the above technical skills and knowledge, you will inevitably acquire knowledge in the subject domains ICE's Sustainable Finance, including:

• Municipal bonds, mortgage-backed securities, sovereign debt, and corporate bonds & equities
• Google Cloud Platform (BigQuery, Cloud SQL, Compute, Google Cloud Storage)