L-073 DATA SCIENCE CONSULTANT COLUMBUS

Columbus / graduate / number of vacancies: 5 - statistical data processing (data mining) - artificial intelligence (ai), including generative ai - predictive modeling using machine learning and data science techniques - time-series modeling (arima and panel data models) and simulation models (monte carlo) - development, validation and audit of financial, risk, marketing and business-oriented models - r&d; projects requirements - recent graduates or final year students. - postgraduate studies and/or specialised courses are an asset, especially in data science, quantitative finance or similar. - knowledge of modeling techniques (logit, glm, time series, decision trees, random forests, clustering, xgboost), statistical programming languages (sas, r, python, matlab), big data tools and platforms (hadoop, hive, etc.) and cloud platforms (aws, azure, gcp). - solid academic record. - 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 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 ...