SENIOR DATA SCIENTIST INSURANCE INDUSTRY
Under the supervision of the Managers of the team, the data scientist will be involved in the following activities :
Develop machine learning algorithms, as well as traditional statistical models, in order to gather actionable business insights;
Explain and synthesize sophisticated data patterns and technical concepts to both technical and non-technical audiences;
In collaboration with the engineering team, implement data pipelines;
Participate in projects with clients, from CRIF office and from clients;
QUALIFICATIONS & EXPERIENCE REQUIRED :
PhD or Master’s Degree in statistics, applied mathematics, computer science, quantitative economics, econometrics or a similar quantitative field.
Strong Python programming skills and experience with data science libraries (Pandas, Scikit-learn, XGBoos, etc.).
Deep understanding of fundamentals of statistics and machine learning (sampling theory, inference and interpretation, model validation, regression and classification techniques, etc.).
At least 5 years of working experience in providing advanced analytics to a variety of business situations (i.e. pricing modeling, optimization, segmentation, cross / up-sell, fraud prediction, churn prediction, etc).
A previous experience of 3 years in Insurance, either direct or as a consultant, is mandatory.
High level proficiency in Office suite, especially Excel.
GIS skills are highly valued.
Experience with cloud resources (AWS in primis), usage of IDE (pycharm, visualbasic) and version control systems (git) are highly valued.
A good command of written and spoken English is required