Junior Data Scientist


Prometeia, one of Europe's leading companies in the field of Risk and Wealth Management solutions and services for institutional investors, is looking for a Junior Data Scientist resource to be included in the new Data Science practice. The objective of the Business Line is to support the innovation of banks and insurance companies through digital transformation paths, enhancing internal and external data and promoting the use of Advanced Analytics techniques and Big Data tools.

  • Knowledge of the main techniques of data wrangling, cleansing, exploration and featurization
  • Knowledge of the fundamentals of Machine Learning and the main clustering, classification and regression algorithms
  • Strong passion for the Advanced Analytics industry
  • Knowledge of at least one of the main programming languages for implementing Advanced Analytics solutions (e.g. Python, R, Java or Scala)
  • Knowledge of Data Visualization Software (Tableau)
  • Knowledge of RDBMS (e.g. SQL Server, MySQL)
  • Good knowledge of the main algorithms for natural language processing, deep learning, sentiment analysis, topic modeling, data encoding, computer vision
  • Knowledge of the fundamentals of Machine Learning and the main clustering, classification and regression algorithms
  • Degree in Computer Science, Mathematics, Statistics or other areas focused on data analysis
  • Experience in the implementation of advanced analytics models in university, work and/or participation in online competitions (e.g. Kaggle, TopCoder)
  • Ability to work as a team, flexible and dynamic, aimed at achieving project goals
  • Good knowledge of English. Knowledge of a second foreign language is a plus
  • Excellent skills in diagnosis and problem-solving, communication, organization of work, time management

Prometeia is always looking for people with an entrepreneurial spirit, highly motivated. We offer a training project that can include trips to Italy and abroad and the opportunity to work in a stimulating and dynamic environment, strongly oriented to the enhancement of resources based on the objectives achieved. 
In the specific context of Business Line Data Science, the candidate will have the opportunity to contribute to the development of innovative solutions to real problems in key contexts for the customer's business and will be supervised over the design activities by senior figures, in a flexible and personalized growth path.



Our company promotes and respects equal opportunities (L 903/77)