Biodiversity Analyst Intern

Job summary
Internship(6 months)
Paris
Salary: Not specified
Starting date: June 02, 2024
A few days at home
Skills & expertise
Data analysis
Teamwork
Project management
Python

AXA Climate
AXA Climate

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Questions and answers about the job

The position

Job description

THE TEAM

Brief overview:

You will join the team dedicated to nature and biodiversity analyses. We are a transversal team which aims to help all internal business lines to propose and deliver missions on nature and biodiversity.

On one hand, we develop AXA Climate’s internal capabilities around nature and biodiversity (tool building, datasets construction, training, participation to international working groups…) and on the other hand, we contribute to the delivery of consulting missions with financial institutions, agri-businesses, and industries to raise awareness on nature, understand impacts and dependencies, and build roadmaps.

The purpose of our team:

We help companies and investors that feel a mismatch between their environmental ambitions and their own ability to (i) decipher the changing landscape on nature and biodiversity and (ii) establish a general framework for measuring and managing the company’s interactions with nature in order to reduce its pressures on the environment on the one hand, and to control its exposure to the main nature-related physical and transition risks on the other.

YOUR MISSIONS

R&D, Data analysis, Modeling:

  • Support R&D initiatives on nature and biodiversity topics;

  • Creation of geospatial databases (identification, cleaning and aggregation of datasets);

  • Modeling of new indicators to assess the state of natural capital and ecosystem services (using landcover data, species observations, reviewing scientific literature…);

  • Benchmarking of footprint methodologies to evaluate the impact of a corporate on nature;

  • Participation in the coding of the models, tools and in the data collection process;

  • Help in the redaction of articles on nature and biodiversity;


Preferred experience

Data skills

  • Small experience on Biodiversity tools and datasets;

  • Knowledge of remote sensing data processing;

  • Coding skills - Programming for risk modeling and data analysis (Python);

Biodiversity knowledge

  • Knowledge on biodiversity conservation and restoration;

  • Understanding of national policies for biodiversity;

  • Courses or Projects on ecology and biodiversity;

Behavioural competencies

  • Team work;

  • Nimble learning (actively learning through experimentation when tackling new problems);

  • Autonomy;

  • Experience in the participation of applied R&D projects

  • Content mastering: able to quickly gain knowledge on a new topic, and synthetize in a comprehensive manner extensive bibliography researches;

  • Project delivery: able to deliver projects in time, with the right level of quality.


Recruitment process

4 interviews:

  • 1 introduction interview

  • 1 technical interview (including 1 use case to prepare in Python)

  • 1 business interview

  • 1 HR/culture interview

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