DATA SCIENCE CONSULTANT MILAN

Management Solutions; Milano; On-site; EUR 29,000 - 31,000; Full time

Job summary

Management Solutions in Milano offers the chance to work on high-profile data mining and knowledge discovery projects for leading organizations. You will contribute to predictive modeling, trend analysis, Monte Carlo simulations, and support to credit rating and scoring models.

We welcome recent graduates or final-year students with a strong quantitative background, plus knowledge of modeling techniques and statistical programming languages.

Qualifications

• Recent graduates or final year students in quantitative disciplines.
• Knowledge of modeling techniques (logit, GLM, time series, decision trees, random forests, clustering).
• Familiarity with SAS, R, Python, Matlab and big data tools.
• Solid academic record.
• Strong computer skills.
• Postgraduate studies and/or courses in Data Science or Quantitative Finance assets.
• Knowledge of other languages is desirable.
• Ability to learn quickly and integrate into multidisciplinary teams.

Skills

Quantitative background

Modeling techniques knowledge

Statistical languages (SAS, R, Python,

Big data tools (Hadoop, Hive)

Strong academic record

Strong computer skills

Postgraduate studies asset

Other languages desirable

Fast learner

Multidisciplinary teamwork

Education

Mathematics/Statistics/Econometrics/Engineering

Job description

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.
• 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 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 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 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 experiencies

• University: we maintain a close relationship with the world’smost prestigious universities
• SocialAction: we organize more than 30 community supportactivities.
• SportsClub: internal and external tournaments.

For more information about Management Solutions and the professional careers we offer, we invite you to visit our website at: www.managementsolutions.com

At Management Solutions we believe in equal opportunities. 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.