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Job Descrption

Requirements
• 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

What the job involves
• 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,
• 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),
• 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

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