Intern - Junior Data Scientist M/F

Paris, Île-de-France, France

Kayrros

Kayrros satellite-based technology independently measures the footprint of human activity on the environment at a global level

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


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 Fortune’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 H/F


The team you will be joining: METHANE PRODUCT TEAM

The Methane team is developing a tool that monitors methane emissions globally and in near real-time. Methane is a greenhouse gas that is 80 times more potent than CO2 over the first twenty years. By leveraging satellite imagery from various sources and advanced AI, we can identify abnormal concentrations of methane in the atmosphere and identify their origins.

This allows us to provide detailed and unique data that helps governments, regulators, financial institutions, and operators make informed decisions to address these emissions. Our tool is used by key players in climate governance, including the International Methane Emissions Observatory from UNEP (ref). You can find a preview of our platform available to the public at: https://methanewatch.kayrros.com/


ROLE

Data Scientists play a key role at Kayrros, working both on R&D discovery topics and specific projects for customers. Most of their role consists of 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 data pipelines and work hand in hand with data analysts to analyze and visualize the results of their models.

They face two main challenges:

  • The diversity and complexity of available data. Kayrros has a strong expertise in remote sensing and works with a wide array of sensors, including multispectral, hyperspectral, SAR, LIDAR, and geostationary. Understanding the characteristics of each technology and selecting the most suitable one for a given problem is essential.
  • The variety of problems. The Methane team employs deep learning and computer vision to detect methane leaks, as well as physical models to quantify the emission rates of these leaks.

As a data scientist, you will therefore have to:

  • Formulate problems considering available data and project constraints.
  • Explore and review existing approaches and relevant scientific literature.
  • Design, implement and test algorithms.
  • Continuously provide ideas to improve products and actively participate in all team discussions.
  • Grow a culture around remote sensing data.

Requirements

PROFILE

This is an ideal opportunity if you are looking for a six-month internship starting between January and April 2025, and you want to join a fast-growing and impactful company.

  • You have a background in image processing, machine learning, statistics, or operations research. You are very interested in various topics including deep learning, time series analysis, computer vision, and signal processing. You demonstrate experience in at least one of these areas.
  • You have strong programming skills in Python, SQL, Machine Learning libraries, data visualization packages and data manipulation.
  • You are dynamic, curious and eager to learn about the questions underlying methane emissions monitoring.
  • You can communicate clearly in English, including with non-technical people.
  • You are willing to be an active member of the team and have a real impact on the company's success.

At Kayrros, we are committed to fostering an inclusive and diverse workplace. We believe in equal opportunities for all applicants, regardless of gender. We actively promote gender equality in all aspects of our recruitment process and encourage applications from individuals of all genders. If you don't meet all the listed skills or qualifications, we still encourage you to apply.


Why join Kayrros?

  • ● We are a young, fast-growing tech company and extremely passionate about what we do.
  • ● We are located in the WeWork building on Rue la Fayette, 75009 (free drinks, events and a vibrant atmosphere).
  • You will work with an international team and practice your English (or Chinese, German, Greek, Portuguese...) on a day-to-day basis.


At Kayrros, we are committed to fostering an inclusive and diverse workplace. We believe in equal opportunities for all applicants, regardless of gender. We actively promote gender equality in all aspects of our recruitment process and encourage applications from individuals of all genders. If you don't meet all the listed skills or qualifications, we still encourage you to apply.

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Category: Data Science Jobs

Tags: Computer Vision Data pipelines Data visualization Deep Learning Finance Industrial Lidar Machine Learning Pipelines Python R R&D Research SQL Statistics

Perks/benefits: Startup environment Team events

Region: Europe
Country: France

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