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. Our Group aims to become the standard bearer and industry leader in the European retail insurance market, building on our existing base of 50 million retail clients, out of an overall total of 72 million. Innovation & Transformation structure is in charge of developing projects to ensure the transformation and innovation of the technical and operational activities and to make the most out of new business and technological opportunities for Asset and Wealth Management (A&WM) Business Unit. The function is organized as follows: - The Innovation structure is in charge of defining and coordinating the implementation of the innovation and digital strategy of Generali Investments and of ensuring the innovation of the technical and operational activities; The Transformation structure is in charge of coordinating the business transformation projects of the IT & Operations, the contribution of the IT & Operations to the Asset Management Business Unit projects, and the activities related to the definition of the Internal Regulations of Generali Investments Holding and the other entities covered by outsourcing contracts. She/he will analyze large amounts of structured and unstructured data (including images, text, video, and audio files), develop machine and deep learning algorithms and present information using data visualization techniques, working closely with business experts to understand their business challenges and transform these into analytics problems. - Use advanced analytics methods to extract value from business data - Perform large-scale experimentation and build data-driven models to answer business questions - Create hypotheses and experiments to identify hidden relationships and construct new analytics methods - Research bleeding-edge techniques and tools in machine learning/deep learning/artificial intelligence - Determine requirements that will be used to train and evolve deep learning models and algorithms - Articulate a vision and roadmap for the exploitation of data as a valued corporate asset - Visualize information and develop reports on results of data analysis - Influence product teams through presentation of data-based recommendations; - Spread best practices to analytics and product teams and implements new tools to make data analysis more efficient. Requirements: Must have: - Bachelor’s degree in a highly quantitative field (Computer Science, Machine Learning, Operational Research, Statistics, Mathematics, etc.) and Master's or PhD in Statistics, Applied Math, Operations Research, Economics, or a related quantitative field - 3-5 years of working experience in a research science, machine learning, or data scientist role with a track record of complex business problems solved leveraging both structured and unstructured data sources - Italian and fluent English as minimum requirements - Strong knowledge of Python and its main data processing and modelling libraries (Numpy, Pandas, Scikit-learn, XGBoost). - Good knowledge of Deep Learning models and frameworks (Keras, TensorFlow, PyTorch,). Soft skills: - Self-starter with ability to work with mínimal supervision and with ownership and accountability for project deliverables; - Ability to understand business problems and distill informal requirements into analytics problems - Ability to interact, communicate and present complex results to technical and non-technical audiences within multiple levels of the organization - Ability to self-motivate, prioritizing needs, and delivering results in a complex environment with ambiguity and mínimal supervision - Willingness to learn new technological, complex topics and to continuously challenge her/himself. Generali is proud to be an inclusive employer that considers applicants regardless of gender, gender identity, sexual orientation, ethnicity, disability, religion, political views, marital status or philosophy of life. If you have a disability or special need that requires accommodation or assistance, we will support you during the selection process.