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Intern - Junior Data Scientist - M/F (6-month internship Solutions team) REQ# HR25029

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Job Description

Passionate about Climate, Energy and AI? Join Kayrros, as Junior Data Scientist - Intern (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, as a Junior Data Scientist M/F

Start Date: March 2025

ROLE

As a Junior Data Scientist Intern on the Nature Solutions Team, you will help tackle pressing environmental challenges like deforestation, biomass estimation, and climate risk modeling using advanced satellite data. You’ll work closely with Kayrros Technical Leads, Product Managers, Data Engineers and Analysts to develop innovative solutions to real-world problems using techniques such as computer vision, machine learning, and signal processing.

Your work will contribute to the creation of large-scale models that offer insights into physical and environmental risks, supporting key decision-makers globally (insurance companies, corporates, asset managers, banks, policymakers, governments…)


Key Responsibilities

  • Collaborate with the Nature Solutions team to develop and test data-driven algorithms using satellite, remote sensing and public data.
  • Explore relevant scientific literature and implement methods in areas such as deep learning, time series analysis, and computer vision.
  • Design and prototype solutions to climate-related challenges, working with diverse datasets (optical, hyperspectral, SAR, LIDAR, etc.).
  • Help optimize and deploy these models in production, ensuring seamless integration with Kayrros’ data pipelines.
  • Take part in brainstorming sessions and contribute ideas to improve our existing climate models and solutions.
  • Engage with data engineers and analysts to build robust, scalable tools for climate intelligence.
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