Passionate about Climate, Energy and AI? Join Kayrros, as a Junior Data Scientist R&D M/F (6-month internship)

Kayrros is a global climate technology company and the world leader in environmental intelligence.

Founded in 2016, it uses artificial intelligence and machine learning to analyze massive amounts of satellite imagery and other inputs at scale and generate standardized, near-realtime data on greenhouse gas emissions and energy supply chains used for trading, environmental compliance and reporting purposes, as well as bespoke data on emissions, climate risks, land-use change and other metrics used by public and private-sector actors such as asset managers, regulators, industrial and consumer-product companies, insurers and others in various proprietary applications. Kayrros technologies provide a powerful set of high-impact tools to reduce our climate footprint, manage climate risks, harden our resilience to extreme weather events, and accelerate the transition to a lower-carbon economy.

Kayrros’s accomplishments have earned it wide recognition. We have been named one of TIME's 100 Most Influential Companies, been featured on Fortun_e’s ‘Change the World’ list in both 2023 and 2024, named Top Five Company of the Year in _Fast Company’s ‘World Changing Ideas’ 2024 awards, and won the Financial Times Tech Champion award.

We have offices in Paris, Houston, New York, London, Bangalore, and Singapore. Now, we’re looking to grow our outstanding team by hiring gifted individuals who want to disrupt global climate governance and shape the future of finance and the environment.

Join us to make a difference!

For more information, visit www.kayrros.com.

We are currently recruiting for our Paris office, a Junior Data Scientist R&D M/F (6-month internship)

The team you will be joining: Nature team

The Nature team is in charge of products and solutions for the monitoring of natural ecosystems and environmental risks. We produce datasets for public institutions, investors and insurance companies to reduce the environmental impact on the economy, scale conservation efforts and build efficient adaptation policies.

Abstract: The goal of the internship is to develop ML (DeepL) models to automatically classify different forest types (managed, natural, production) and detect deforestation and degradation from raw satellite imagery.

Role:

Data scientists play a key role at Kayrros, working both on R&D and discovery topics. Most of their work consists in developing models using various methods based on recent scientific papers including computer vision, machine and deep learning, and signal processing. They also collaborate with data engineers to build robust pipelines and work hand in hand with data analysts to analyze and visualize the results of their models. As part of the product team, Data Scientists are also expected to apply their models to various use cases, to build energy-related products.

They face two main challenges:

• The diversity and complexity of data available. Kayrros has a strong expertise in remote sensing and has been working with data from many different sensors (multispectral, hyperspectral, SAR, LIDAR, geostationary). Understanding the specificities of each technology and choosing the most appropriate for a given problem is therefore a crucial step.
• The complexity of the problems to solve: be it to provide a hedge on carbon credit markets or compute the right environmental risk metric, Kayrros navigates a space where the utmost rigor is required to bring value to its users.

As a Data Scientist, you will have to:

• Formulate problems considering available data and project constraints.
• Explore and review existing approaches or relevant associated scientific literature.
• Design, implement and test algorithms.
• Continuously provide ideas to improve products and take part in all team discussions.
• Help to apply your models to “real-life” use cases.
• Grow a culture around remote sensing data, as well as large datasets.