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Senior Data Scientist

Location: 

Bologna, IT

SENIOR DATA SCIENTIST for G20 TECHSPRINT 2021 AWARD TEAM

Advanced Analytics Global Business Line is CRIF's Center of Excellence (COE) that combines the best data science, engineering and dataviz skills, to bring a significant impact on the performance of any organization. We extract measurable value from data, operating at the intersection of data science, technology and business expertise.

An unimaginable and heterogeneous amount of data, translated into scores, insights and applications (assets) are our playground.

We love challenges and winning them, like the latest G20 Techsprint challenge on green and sustainable finance.

This eclectic and rapidly growing group is looking for a motivated, self-driven Senior Data Scientist with business acumen, whose core value is to collaborate at the heart of our multi-disciplinary teams, designing and affirming on the market products that can explain complex data landscapes and insights to our users.

Within a flat organization, where you will find a culture of creativity, collaboration and support, you:

  • will develop machine learning algorithms, as well as traditional statistical models, in order to gather actionable business insights;
  • will explain and synthesise sophisticated data patterns and technical concepts to both technical and non-technical audiences;
  • will implement data and analytics pipelines, in collaboration with the engineering team;
  • will participate in projects with clients, both external and internal
  • will contribute to the design and development of data driven products, jointly with managers and other data scientists from our team, as well as with other CRIF colleagues

 

QUALIFICATIONS & EXPERIENCE REQUIRED:

  • PhD or Master’s Degree in quantitative field such as economics, statistics, computer science, mathematics, physics
  • Strong Python programming skills and experience with the most popular data science libraries. Familiarity with cloud resources is considered a plus
  • Proficiency in Microsoft Office suite
  • Proven experience in applying both traditional and machine learning techniques (i.e. logistic regression, clustering, decision trees, gradient boosting). Experience with spatial analysis and GIS software is considered a plus
  • 4-6 years of working experience in quantitative projects (i.e. model development, optimization, segmentation, etc.).
  • Business knowledge of the banking or insurance industry is a plus.
  • Experience in project management activities (project planning, resource management, internal and external project communication, …)
  • A good command of written and spoken English is required.

 

Location: Milano and Bologna (preferred)

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