Data scientist
Pubblicato il 01-10-2026 - Generali in Milano
The Group Advanced Analytics and Automation Solutions Unit is in charge of driving the execution of key Artificial Intelligence projects at Group level, related both to AI-driven automation and AI recommendations/predictions and support local Business Units to implement local projects. The unit is also responsible for designing, implementing, and continuously improving a library of central shared analytics / automation services, leveraging cutting-edge technologies, algorithms and methodologies, available for the BUs through a central platform.
In our team, the Data Scientist is in charge of identifying, designing and developing artificial intelligence solutions through text analytics, image analytics and data analytics technologies, with the aim to automate end-to-end discretionary processes, such as claim settlement, underwriting or document processing, or to provide recommendations within human-based processes, such as fraud detection or churn prediction.
As a Data Scientist, you will take part in international AI projects and initiatives in collaboration with our +50 Business Units,
having the opportunity to gain full ownership on AI applications, implementation and delivery in the different sectors and countries where Generali operates.
On top of the project delivery, you will have the chance to experiment the most innovative technologies and approaches in order to continuously enrich the Group library of analytics / automation services.
This includes for example:
- Gradient Boosting, Neural Networks, Unsupervised learning and Optimization techniques for core insurance use cases like pricing and fraud detection
- Transformers for Token Classification, Question Answering, Semantic Search, Relation Extraction and Dependency parsing in different languages; Multi-task learning and Fine-tuning on internal data assets; Prompt Engineering with LLMs
- State-of-the-Art algorithms, frameworks and projects for Computer Vision, metric learning and time-series Analysis (for