Job description

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.

Within the Data Science Team area we are looking for a brilliant Data Scientists to join the global data science team of Generali. You’ll collaborate in a friendly, diverse and multinational environment, to drive Generali Group on its transformation journey to become an innovation led, digitally enabled, data driven and agile organization through the pervasive use of Analytics and AI. You will take part in international AI projects and initiatives in collaboration with our +50 Business Units, having the opportunity to gain full knowledge on AI applications, implementation and delivery in all the sectors where Generali operates (from Insurance to Banking, Asset Management, Real Estate, personal services, agriculture, ...).You 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 from Generali legal entities to understand their business challenges and transform these into analytics problems. You will contribute to Generali’s global AI adoption program by delivering analytical projects, developing reusable AI products/solutions, scouting new technologies and methodologies (such as quantum computing), providing technical advisory and training for and in collaboration with other global and local functions.

Key responsabilities of the role will include:

  • Uses advanced analytics methods to extract value from business data
  • Performs large-scale experimentation and builds data-driven models to answer business questions
  • Creates hypotheses and experiments to identify hidden relationships and construct new analytics methods
  • Researches bleeding-edge techniques and tools in machine learning/deep learning/artificial intelligence
  • Determines requirements that will be used to train and evolve deep learning models and algorithms
  • Articulates a vision and roadmap for the exploitation of data as a valued corporate asset
  • Visualizes information and develops reports on results of data analysis
  • Influences product teams through presentation of data-based recommendations
  • Spreads best practices to analytics and product teams and implements new tools to make data analysis more efficient

Our ideal candidate will meet the following requirements:

Must have

  • Bachelor 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
  • At least three 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
  • Strong knowledge of Python and its main data processing and modeling libraries (Numpy, Pandas, Scikit-learn, XGBoost)
  • Good knowledge of Deep Learning models and frameworks (Keras, TensorFlow, PyTorch,..)

Soft skills

  • 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 minimal supervision
  • Willingness to learn new technological, complex topics and to continuously challenge itself

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