Data scientist

Data scientist - Business Advanced Analytics Solutions 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 đạt 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 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. Technologies and approaches 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 example Hugging Face, Detectron2, MMLab) và model optimization for deploy at scale (for example NVIDIA Triton, ONNX, TorchScript). Synthetic data generation (including 3D computer graphics and Generative Adversarial Networks – GANs). GPU and Multi‐GPU trainings. Main tasks and responsibilities Support the project set‐up, the analysis of the as‐is processes, the creation of a business case, and the design of the target end deney‐to‐end solution, including the models and data needed to maximize the business impact. Develop end‐to‐end AI projects, including machine learning models, optimization techniques and algorithms, from data pre‐processing, to the code‐base creation and model training, evaluation and test. Present and explain the projects results and the solution's performances to the business stakeholders. Research bleeding‐edge techniques andieving tools in machine learning / deep learning / artificial intelligence to bring new research topics and methodologies from paper to production, and contribute to the library of ready‐to‐use shared models and algorithms used by all Business Units. Requirements Separate problem‐solving dryers, creativity, and determination. Excellent analytical and deductive skills. Experience in Python and other programming continuously (R, Java, C++ ...) and Data Science libraries (Pandas, Scikit‐learn, Numpy, Pytorch, LightGBM, Tensorflow). Experience in designing, developing and evaluating Statistical modeling or Machine Learning models (clustering, classification, regression, forecasting, ...). (Nice‐to‐have) Experience in Cloud Development (preferable AWS), ML Ops, Containerization multi‐GPU/multi‐node training, model optimization (pruning, quantization, distillation, ...) and the most famous Deep Learning frameworks (Tensorflow and Pytorch) or libraries (Hugging Face, ECONDetcor2, MMLab, ...). Ability to work in a team, operational autonomy, proactivity, high level of commitment and result‐orientation. Master's degree in scientific disciplines (Mathematics, Computer Science, Engineering, Economics, Physics). Good knowledge of written and spoken English (B2). Basic knowledge of IT architecture (nice‐to‐have). Company Profile Generali is a major player in the global insurance industry – a strategic and highly important sector for the growth, development and welfare of modern societies. Over almost 200 years, we have built a multinational Group that is present in more than 60 countries, with 470 companies and nearly 80,000 employees. GOSP – Gener Кли Operations Service Platform is a joint‐venture between Generali and Accenture and provides IT and Procurement services to Generali Group companies. Our purpose is to accelerate the Group's innovation and digitization strategy through the Cloud and shared platforms. Based in Italy it has 5 branches across Europe and employs about 1,000 people. #J-18808-Ljbffr