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ESG Book is a global leader in sustainability data and technology.
ESG Book is a global leader in sustainability data and technology. Launched in 2018, ESG Book offers a wide range of ESG-related data, analytics and software that are used by many of the world’s largest financial institutions.
Covering more than 50,000 companies, ESG Book’s product includes ESG and climate data, portfolio and company-level scores, and analytics tools. ESG Book’s SaaS data management and disclosure platform provides access to over 190,000 corporate disclosures, enabling companies to disclose to stakeholders in real-time against multiple frameworks.
Headquartered in London, ESG Book operates from key financial hubs globally including Frankfurt, Boston, New York, Delhi, and Tokyo.
ESG Book as a company is built on 3 pillars:
Our ambition is to support our clients to build a more sustainable economy. Our core values guide our daily actions as we strive to create lasting change. Our open, collaborative culture provides a nurturing environment for personal and professional growth, enabling us to achieve remarkable outcomes for our clients and stakeholders.
About the role
We are looking for a Data Scientist with a strong interest in climate to support our climate product suite. Our climate offerings include our flagship ITR score, emissions estimation models, and other related climate analytics offerings. You will gain a deep understanding of the methodologies and methods of our current offerings and become a model owner. You will work with the Product Specialist to develop new climate offerings and upgrade our existing models. While this role is climate focused, you might be involved in data science related tasks across our sustainability and climate product suite. Your responsibilities will include:
Requirements and skills
What We Offer
We are an equal opportunities employer. This belief and approach apply to all aspects of employment, including recruitment and selection, opportunities for training, development and promotion and our terms and conditions of engagement.
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