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 quantitative support to the business and R&D; projects. Requirements - 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 fields. - 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 The best environment to develop talent We offer you the possibility to join a firm that provides all you need to develop your talent to the fullest: - Working on 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. Ongoing training plan 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 375,000 hours of training spanning more than 150 courses. Clearly defined career plan - 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. Complementary experiences - 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. #J-18808-Ljbffr Scientific