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Data Scientist


Milano, IT

Data scientist – Advanced Analytics


The first wave of Data Driven business revolution has revealed new scenarios in industries like financial services, insurance, retail, utilities and telcos, among others. What our clients, from all this areas, ask us today is to really change their business, moving models and algorithms inside processes.


Data Science Business Applications unit is a multi-disciplinary team of highly skilled statisticians, physics, mathematics, econometrics, engineers and geeks, driven by a strong business knowledge. We are searching a new team member to develop advanced analytics solutions for our customers, belonging to industries such as financial services, utilities, insurance, retail.


You will be involved in the development of advanced analytics applications and projects, together with our data engineers, applying the latest AI methodologies. As a data scientist, you will leverage the huge set of data owned by CRIF, understanding how to mix them together with open data, client's data and third party data.

You will contribute to client’s transformation, applying the appropriate methodologies to their Big Data and Advanced Analytics issues in areas like marketing, antifraud, pricing optimization, forecasting, location intelligence, risk, etc.


Moreover, you will be asked to support internal R&D, with the goal to deliver new assets and products.


We ask:


  • Bachelor’s Degree in a quantitative discipline (Computer Science, Engineering, Statistics, Econometrics, Economics, Physics, Mathematics, etc.);
  • A work experience of at least 3 years as a data scientist
  • Strong skills in Python and proficiency in R, SAS, or other statistical package;
  • Knowledge of Geo-data processing toolkit (i.e. PostGis, QGis) and techniques of spatial analysis
  • Knowledge and experience using advanced modelling and machine learning techniques;
  • Strong communication and presentation skills
  • Curiosity, entrepreneurial attitude
  • At least a B2 proficiency in English
  • Availability to travels in Italy and abroad
  • A work experience abroad or a proven experience in consulting will be considered a plus.
  • Ph.D degree in areas related to data science is highly valued


The work location is Milano, Italy

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