Data Scientist - Business Advanced Analytics Solutions

26 set - Casagiove
Assicurazioni Generali

OverviewAs part of Group Advanced Analytics and Automation Solutions, you will design and deliver AI solutions to automate processes and provide data-driven recommendations. You'll work across +50 BUs to own AI applications, from data preprocessing to model deployment, and contribute to a central library of analytics services. You'll explore cutting-edge methods in text, image, and data analytics to solve real insurance use cases such as pricing, fraud detection, and document processing. This role offers cross‐country collaboration, rapid experimentation, and impact through scalable AI products.ResponsabilitàSupport project setup and current-process analysis, build a business case, and design target end-to-end AI solutionsDevelop end-to-end AI projects including data prep, model code, training,



and evaluationPresent results and performance insights to business stakeholdersResearch and bring bleeding-edge ML/DL techniques into production and enrich the shared model libraryCollaborate with multiple business units across countries to implement AI applications and share best practicesRequisiti fondamentaliStrong problem solving, creativity, and determinationExcellent analytical and deductive skillsExperience in Python and other languages (R, Java, C++, ...) and DS libraries (Pandas, Scikit-learn, Numpy, Pytorch, LightGBM, Tensorflow)Experience in designing, developing and evaluating statistical models or ML models (clustering, classification, regression, forecasting)(Nice-to-have) Cloud development (AWS preferred), ML Ops, multi-GPU/multi-node training, model optimization (pruning, quantization, distillation) and DL frameworks (Tensorflow, Pytorch) or libraries (Hugging Face, Detectron2, MMLab)Ability to work in a team, autonomous, proactive, highly committed and results‐orientedMaster's degree in scientific disciplines (Mathematics, Computer Science, Engineering, Economics, Physics)Good knowledge of English (B2); basic IT architecture knowledge is a plusTeamworkProactivityCommitmentPythonOther programming languages (R, Java, C++)Pandas

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