Data Scientist

Job Type: Permanent, Full-time

Industry: Insurance, Data Science, Artificial Intelligence

About the Role

An opportunity is available for an experienced Data Scientist to develop and deploy machine learning and AI solutions within a multidisciplinary data team in the insurance sector.

The role covers the full data science lifecycle, from identifying business use cases and analysing data to developing, industrialising and deploying models. Projects span customer experience, distribution, operational efficiency, fraud prevention and process optimisation.

Key Responsibilities

• Identify business challenges and opportunities for data science and AI applications.
• Collect, explore and analyse data to support business requirements.
• Design, develop and improve machine learning and predictive modelling solutions.
• Contribute to the industrialisation and production deployment of models using MLOps practices.
• Work on natural language processing (NLP) and generative AI applications.
• Integrate data science solutions into business processes and tools.
• Ensure models meet development, security and compliance standards.
• Support effective, strategic and secure data management.
• Monitor developments in data science and artificial intelligence.
• Collaborate with business stakeholders to support adoption of AI solutions and promote data-driven decision‑making.

Requirements

• Master's degree (Bac+5) in Data Science, Artificial Intelligence, Machine Learning, Engineering or a related field.
• At least three years of experience working as a Data Scientist.
• Experience taking machine learning models through industrialisation and production deployment.
• Strong proficiency in Python and SQL.
• Experience with GitLab and collaborative software development practices.
• Knowledge of machine learning, predictive modelling, NLP and MLOps.
• Experience or interest in generative AI and large language models (LLMs) is an advantage.

Skills and Working Style

• Analytical and results-oriented approach.
• Ability to work independently and propose practical solutions.
• Strong communication skills, including explaining complex technical concepts to non-technical stakeholders.
• Collaborative mindset and willingness to share knowledge.

This role offers the opportunity to work across the full lifecycle of AI and machine learning models, contributing to practical business applications in the insurance sector.