Data Scientist

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.   We are looking for a Data Scientist within our Analytics Solutions Center which is part of Group Data

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.
 
We are looking for a Data Scientist within our Analytics Solutions Center which is part of Group Data & Digital Innovation. The candidate will perform data analysis to extract knowledge or insight from structured or unstructured data. S/he will develop advanced statistical algorithms for analysis of large-scale, complex datasets, keep up to date with cutting-edge techniques in machine learning and big data analytics, and seek ways to advance the organization’s capabilities in analytics.
 
The Data Scientist will have the following accountabilities:
  • 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.
The ideal candidate will meet the following requirements:
 
Must have
  • Master’s Degree or PhD in Statistics, Computer Science, or a related field;
  • 0-5 years’ experience in a similar role;
  • Experienced with statistical methodologies and tools;
  • Familiar with big data technologies.
Soft Skills
  • Strong knowledge in predictive modeling methodology;
  • Experienced at leveraging both structured and unstructured data sources;
  • Experience using statistics and machine learning to solve complex business problems;
  • Willingness and ability to learn new technologies on the job;
  • Demonstrated ability to communicate complex results to technical and non-technical audiences.