DATA SCIENCE CONSULTANT BOLOGNA

You will be working on key projects for leading organizations in data mining & knowledge discovery, predictive modeling, trend modeling, simulation models (Monte Carlo), review of credit rating and scoring models, and quant support to the business and R&D projects.

• Recent graduates or final year students.
• Desirable knowledge of modeling techniques (logit, GLM, time series, decision trees, random forests, clustering), statistical programming languages (SAS, R, Python, Matlab), and big data tools and platforms (Hadoop, Hive, etc.).
• Solid academic record.
• Strong computer skills.
• Postgraduate studies and/or specialized courses are an asset, especially in Data Science, Quantitative Finance, or similar.
• Knowledge of other languages is desirable.
• Get-up-and-go attitude, maturity, responsibility, and strong work ethic.
• Strong ability to learn quickly.
• Able to integrate easily into multidisciplinary teams.

We offer you the possibility to join a firm that provides all you need to develop your talent to the fullest:

• Working in the highest-profile consulting projects in the industry,
• for the largest companies, leaders of their respective markets,
• alongside top industry management as they face challenges at the national and global level,
• as part of an extraordinary team of professionals whose values and corporate culture are a benchmark for the industry.

Approximately 10% of business turnover is spent on training:

• Specialist knowledge courses, external expert courses, professional skills courses, and language courses.
• Last year our staff as a whole received over 330,000 hours of training spanning more than 750 courses.

• Internal promotion based solely on merit.
• Partnership-based management model offers all professionals the opportunity to become part of the Firm’s group of partners.

• University: we maintain a close relationship with the world’s most prestigious universities.
• Social Action: we organize more than 30 community support activities.
• Sports Club: internal and external tournaments.