Data-Science Intern

General information

City: Paris

Country: France

Creation Date: 05-Jan-2026

Employment Type: Fixed term contract

Employment Type: Full time

Ref #: 1234572134

Description & Requirements

• Assist in the development and assessment of a hail index using statistical and physical approaches.
• Contribute to the creation of hail risk maps for various geographies and asset classes.
• Support the development of change detection algorithms to identify property damage using remote sensing, satellite imagery, or other relevant data sources.
• Collect, clean, and prepare datasets sourced from third parties as well as internal databases.
• Participate in the construction of user-friendly interfaces and data visualizations to aid risk assessment processes.
• Collaborate with underwriters and other stakeholders to ensure that technical deliverables meet business requirements.
• Document methodology, processes, and findings and contribute to internal knowledge sharing within the team.
Adherence to all relevant regulatory requirements forms part of your role, and the demonstration of behaviours as set out in the Conduct Risk Policy, as they relate to your role, is core to LSM's commitment to our Liberty Values, placing customers at the centre of our business and behaving with integrity. LSM expects you to understand your responsibilities relating to all regulatory and internal requirements, and to proactively demonstrate compliance with these requirements and behaviours at all times. These requirements include the Senior Managers and Certification Regime Conduct Rules ,Solvency II, fair treatment of customers, Financial Crime, Data Protection, Conflicts of Interest, and Whistleblowing.

• Current pursuit or recent completion of a Master’s degree (or equivalent) in a relevant scientific discipline (e.g., Data Science, Statistics, Meteorology, Agronomy, Engineering, Computer Science, etc.).
• Proficiency in Python and/or R, with demonstrated skills in data preparation, mining, and visualization.
• Familiarity with, or interest in, deep learning, geospatial analysis, and remote sensing techniques.
• Experience or keen interest in the fields of agriculture, meteorology, or natural hazards.
• Experience with dashboarding tools (e.g., Shiny, Dash, Streamlit) considered an advantage.
• Professional proficiency in English is required; skills in French and/or Spanish are considered a plus.
Strong communication skills; ability to work autonomously and as part of a team, demonstrating initiative and a willingness to learn.

• Offering a vibrant and inclusive environment and committing to their career development.
• Promoting diversity, equity and inclusion (DEI). Our Inclusion Matters framework and employee-led networks strengthen the diversity of our workforce and our inclusive environment.
• Reinforcing that collaborating together to share our unique perspectives help us make better decisions, deliver innovative solutions and pursue our ambitious goals.
A supportive culture, which includes promoting a healthy work-life balance and working flexibly.