Role Overview
As an intern, you will be an integral part of a collaborative team working on data-driven initiatives. Your primary focus will be on the continuation and enhancement of a project that involves collecting and analysing data from diverse sources, including satellite imagery. The collected data will be processed to generate insightful and meaningful indicators for the research team and, more broadly, Crédit Agricole CIB. The main questions of atmosphere composition, climate change, ship and air traffic, drought and other weather characteristics will be addressed. An innovative approach and the proposition of new ideas will be appreciated.
Key Responsibilities
Data Acquisition: Identify, access, and collect relevant datasets from various sources, including remote sensing and public databases.
Indicator Development: Process and analyse data to generate meaningful environmental and atmospheric indicators related to climate change, air and maritime traffic, drought, and other weather-related phenomena.
Innovation & Collaboration: Contribute ideas and propose novel approaches to improve data processing and analysis workflows.
Automation: Work with the team to automate algorithms for the sustainable production of indicators.
Financial Integration: Assist in testing the developed indicators against financial market data to uncover potential correlations and insights.
Candidate Profile
Masters level in Maths, Computer Science, Engineering or Physics
Strong interest in data science, environmental studies, or a related field.
Familiarity with data processing tools and programming languages (e.g., Python, R).
Analytical mindset with attention to detail and a proactive approach to problem-solving.
Ability to work collaboratively in a team-oriented environment.
Interest in exploring the relationship between environmental data and financial markets.
Bachelor Degree / BSc Degree or equivalent
Master level degree in Mathematics, Computer science, Engineering or Physics
Good understanding of main algorithms and data structures
Python, SQL, R, C++ or any other programming language
English
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