Project Data Specialist
Pubblicato il 10-09-2026 - Management Solutions in Milano
You will be working in 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 from disciplines relating to Mathematics, Statistics, Econometrics, Engineering or other degrees with a strong quantitative component.
Should desirably have 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.).
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.
Able to integrate easily into multidisciplinary teams.
Working in the highest-profile consulting projects in the industry,
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, with approximately 10% of business turnover spent in training
Specialist knowledge courses, external expert courses, professional skills courses and language courses.
Last year our staff as a whole received over 400,000 hours of training spanning more than 160 courses.
Partnership-based management model offers all professionals the opportunity to become part of the Firm’s group of partners.
For more information about Management Solutions and the professional careers we offer, we invite you to visit our website at:
In our selection process, all qualified applicants are equally considered for employment regardless of race, color, religion, national origin, sex, gender identity, sexual orientation, age, marital status, disability, and any other characteristic protected by law.