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

• 5+ years of strong professional experience
• 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
• Ability to model the reality of business into equations, and to understand the implications and limitations of a model
• Deep understanding of machine learning concepts and algorithms
• Understanding current landscape of modern Large Language Models; experience in using them (inference, APIs, fine‑tuning)
• Excellent knowledge of machine learning tools and libraries
• Working experience in data processing, databases (relational and NoSQL) and data visualization
• Good programming skills (Python, Java, etc.)
• Good software engineering culture (e.g. source control systems experience, code reviews, etc.)
• Work experience in clouds (e.g. Google Cloud, AWS, Azure)
• 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
• Sufficient skills to contribute to complex projects with many stakeholders
• Business acumen
• Problem solving oriented
• Continuous improvement of Data Science skills
• Autonomy, curiosity and innovation capability
• English — fluent in speaking and writing — mandatory
• French is a plus

What we offer

We bring together the expertise, cultural diversity and creativity of over 8,000 employees worldwide and we’re committed to equal opportunities in all aspects of employment (gender, LGBT+, disabled persons, or people of different origins) and to promoting Diversity & Inclusion by creating a work environment where all employees are treated with dignity and respect, and where individual differences are valued.