DATA SCIENCE CONSULTANT MILAN/ROMA

Management Solutions; Milano; In loco; EUR 30.000 - 60.000; Tempo pieno

Descrizione del lavoro

Un'azienda di consulenza internazionale cerca neolaureati motivati e talentuosi per unirsi a un team multidisciplinare. I candidati ideali avranno una solida formazione in Matematica o Statistica e saranno pronti a lavorare su progetti di alto profilo per grandi aziende. Questa è un'opportunità unica per sviluppare le proprie competenze in un ambiente stimolante e collaborativo, con un piano di carriera chiaro e formazione continua. Unisciti a un team di professionisti eccezionali e contribuisci a progetti innovativi che affrontano sfide globali.

Servizi

Piano di formazione continuo

Corsi specialistici

Attività sportive

Promozione interna basata sul merito

Competenze

• Neolaureati o studenti dell'ultimo anno in Matematica o Statistica.
• Capacità di apprendere rapidamente linguaggi di programmazione statistica.

Mansioni

• Elaborazione di dati statistici e sviluppo di modelli predittivi.
• Supporto matematico per lo sviluppo di algoritmi e modelli di probabilità.

Conoscenze

Data Mining

Machine Learning

Statistical Programming (SAS, R, Python, Matlab)

Modeling Techniques (logit, GLM, time trees, random forests, clustering)

Big Data Tools (Hadoop, Hive)

Formazione

Laurea in Matematica

Postgraduate Studies in Data Science

Strumenti

Hadoop

Hive

Descrizione del lavoro

Management Solutions is an international consulting firm whose core mission is to deliver business, risk, financial, organisational and process-related advisory services, targeting both functional aspects and the implementation of related technologies. We currently have a multidisciplinary team (functional, mathematical, technical and systems integration) of around 4,000 professionals.

We operate through 50 offices (22 in Europe, 23 in the Americas, 3 in Asia, 1 in Africa and 1 in Oceania) from where we regularly serve clients that operate in more than 50 countries across five major geographical areas (Europe, Americas, Asia, Africa and Oceania).

Role

1. Statistical data processing (data mining)
2. Predictive modeling using machine learning and data science techniques
3. Trend modeling (time series, ARIMA models)
4. Development of simulation models (Monte Carlo)
5. Review and validation of rating and scoring, RAROC and risk-parameter models
6. Mathematical support to the business: developing algorithms, statistics and probability models
7. R&D projects

We look for candidates like you

1. Recent graduates or final year
2. Postgraduate studies students from disciplines relating to Mathematics, Statistics, especially in Econometrics, Data Science, Big Data Science, Quantitative Data, Mathematical Finance, Finance or similar.
3. Knowledge of other Mathematics, Physics… languages desirable.
4. Get-up-and-go attitude, knowledge of maturity, responsibility modeling techniques (logit, GLM, time trees, random forests, clustering) and strong work ethic.
5. Strong ability to learn statistical programming languages (SAS, R, Python, Matlab) quickly.
6. Able to integrate easily and big data tools (Hadoop, Hive, etc.) into multidisciplinary teams.
7. Solid academic record.
8. Strong computer skills.

What we offer

We offer you the possibility to join a firm that provides all you need to develop your talent to the fullest:

1. Working in the highest-profile consulting projects in the industry,
2. for the largest companies, leaders of their respective markets,
3. alongside top industry management as they face challenges at the national and global level,
4. as part of an extraordinary team of professionals whose values and corporate culture are a benchmark for the industry.

Training

1. Ongoing training plan, with approximately 10% of business turnover spent on training.
2. Specialist knowledge courses, external expert courses, professional skills courses and language courses.
3. Last year our staff as a whole received over 375,000 hours of training spanning more than 150 courses.

Career plan

1. Clearly defined career plan.
2. Internal promotion based solely on merit.
3. Partnership-based management model offers all professionals the opportunity to become part of the Firm’s group of partners.

Complementary activities

1. University: we maintain a close relationship with the world’s most prestigious universities.
2. Social Action: we organize more than 30 community support activities.
3. Sports Club: internal and external tournaments.