Milan / Graduate / Number of vacancies: 2

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.

Requirements
- 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.).
- Solid academic record.
- 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

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 general level,
- as part of an extraordinary team of professionals whose values and corporate culture are a benchmark for the industry

The salary for the Assistant I position ranges from EUR 28,500 to EUR 31,000 gross per year.

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 course

📌 DATA SCIENCE CONSULTANT MILAN (Santiago)
🏢 Management Solutions
📍 Santiago