Actuarial Intern/Work-Study (H/F)
We host students preparing for their Master’s degrees or as part of their Engineering Cycle to conduct actuarial studies leveraging AI techniques.
Exemple of experimental studies
We are conducting actuarial studies as part of our Rating validation process :
- Engineer data scraping of insurance contracts in consistency with economic theory.
- Optimize AI techniques for data scraping.
- Data quality validation: Define testing procedures for AI deliveries.
- Data indexation: Define optimal data indexing to improve AI accuracy.
- Digital marketing analysis: Optimize techniques to reduce the insurance gap.
- Documentation: Set up a documentation framework to address regulatory need.
Requirements
- Student in 4th or 5th year of the Engineering Cycle.
- Intellectual curiosity, rigor, and team spirit.
- Fluent in Python and English.
- Interest in NLP and Gen AI.
- Enthusiasm for the design of complex products and autonomy in the work.
- Flexibility and abilities to impact positively collaborative and complex tasks.
- French is helpful, not a must-have
Why join Yakoota?
- A purpose-driven company with tangible ESG impacts.
- Innovative atmosphere.
- Entrepreneurial spirit.
- A culture of benevolence and flexibility, including 100% telecommuting.
How to apply
We look forward to receiving your resume and cover letter. Please apply.
- By e-mail to contact@yakoota.fr
- By the contact form