Data Scientist
Haystack
À distance
The Role
- Coordinate transversal projects, studies, and data modeling initiatives.
- Propose, design, and implement innovative Proof of Concepts (POCs) and experiments.
- Develop analytical or predictive models using diverse data (structured, unstructured, documents) to generate business value.
- Design modern data exploitation tools to enhance risk understanding and support decision-making.
- Collaborate with business teams to translate insights into concrete actions.
- Master's degree (Bac+5) in Data Science, Statistics, or Computer Science.
- Essential knowledge of insurance concepts, particularly in professional markets and pricing.
- Proficiency in Python, SQL, Streamlit, and ideally Power BI or an equivalent tool.
- Understanding of modeling techniques and machine learning algorithms.
- Ability to communicate complex results clearly to operational teams.
- Join a human-sized team focused on data-driven innovation.
- Directly contribute to projects covering predictive modeling and risk management.
- Opportunity to work on strategic initiatives and develop modern data tools.
- Be part of a company that values curiosity, autonomy, and initiative.