Founded in 2015, our client is an independent consulting firm specialized in insurance, actuarial projects, finance & process optimization. In partnership with an IT consulting firm specialized in process optimization and digital transformation, they combine technological innovation with sector expertise to deliver tailor-made, data-driven solutions in France and beyond. Together, their complementary teams of engineers, actuaries, and consultants create a unique environment where business meets technology.
About the Role: Your contribution is to design, develop, and deploy applied artificial intelligence solutions that meet both internal and client needs.
Requirements: * Minimum 4 years of relevant professional experience required. * Strong skills in Python, SQL, Deep Learning, NLP/LLMs, Prompt Engineering, and MLOps. * Business aware, creative, analytical, curious with a passion for turning AI research into real-world impact. * Master’s Degree in Artificial Intelligence, Data Science, Computer Science, Applied Mathematics, Software Engineering. * Upper-Intermediate English. * Upper-Intermediate French would be a huge plus.
Responsibilities: * Drive effective project delivery by actively participating in client projects and contributing to company activities. * Improve decision-making & operational efficiency by developing, training, and integrating AI models tailored to internal and client business needs (LLM, NLP, Computer Vision, agent-based systems). * Increase productivity & enable scalable content production by designing automated data processing and content generation solutions using prompt engineering techniques and AI pipelines. * Ensure sustainability & reliability by contributing to the industrialization and reliability of AI projects (production deployment, MLOps, performance optimization). * Collaborate with the AI & Data Science team to drive internal transformation projects — from code transpilation (SAS/R to Python) to automating reporting and analytics workflows.
What we offer: * Long-term employment with competitive compensation, based on experience. * Possibility to work remotely. * An open, transparent and fun work culture. * Multi-national team and collaborative work environment. * Continuous knowledge sharing with engaged co-workers. * Career and professional growth opportunities.
