Data Scientist Analyst

Join us as a Data Scientist specializing in Large Language Models! Lead innovative AI solutions, translate business needs into models, and collaborate across teams. Drive impact with autonomy, creativity, and cutting-edge ML expertise. Shape the future of data-driven insights!

About the job

Main missions

Your responsibilities include:

• Work closely with business experts to understand the operational needs (actuarial, marketing, etc.) and translate business needs into solutions.
• Apply latest GenAI techniques for business problems
• Apply data science tools to solve business challenges (including machine learning / visualization / GenAI).
• Work with other departments (IT and business) to ensure operational use of results and measure impacts on key business indicators.
• Collaborate with cross-functional teams to share expertise, and to implement advanced solutions.
• Build relationships with business, provide them technical leadership and guidance.
• Manage and transmit knowledge through appropriate documentation and events (talks, seminars, etc.).
• Contribute to the innovation and advancement of machine learning capabilities within the organization.

Expected skills & experience

We are looking for someone with the following experience and skills:

Experience

• Relevant professional experience (including internships, research projects, or thesis work); outstanding recent graduates are encouraged to apply.
• Work experience in an international environment is a plus

Technical skills

• Master’s degree, equivalent dual diploma or PhD in finance, actuarial, mathematics, statistics, economics, computer science, physics or similar
• Strong understanding of machine learning concepts and algorithms
• Understanding current landscape of modern Large Language Models; hands‑on experience through projects, coursework, internships, or professional work is a plus
• Good knowledge of machine learning tools and libraries
• Experience through projects, internships or coursework in data processing, databases (relational and NoSQL) and data visualization
• Good programming skills (Python, etc.)
• Good software engineering culture (e.g. source control systems experience, code reviews, etc.)
• Exposure to cloud environments (e.g. Google Cloud, AWS, Azure) is a plus
• Work experience in insurance is a strong plus

Soft skills / transversal skills

• Strong communication and storytelling skills with experts and non-experts
• Analytical skills and mindset to produce useful business insights from data
• Discipline in writing technical and non-technical documentation
• Ability to work efficiently in multi-disciplinary team
• Ability and willingness to contribute to complex projects with multiple stakeholders
• Interest in understanding business problems and translating them into data science solutions
• Strong learning mindset and continuous improvement of Data Science skills