¡Activa las notificaciones laborales por email!

Data Science Consultant Bologna

Management Solutions

Tarifa

Presencial

EUR 30.000 - 50.000

Jornada completa

Hace 7 días
Sé de los primeros/as/es en solicitar esta vacante

Mejora tus posibilidades de llegar a la entrevista

Elabora un currículum adaptado a la vacante para tener más posibilidades de triunfar.

Descripción de la vacante

Join a forward-thinking company that excels in delivering innovative solutions to leading organizations. This role offers an exciting opportunity to work on high-profile consulting projects that challenge the status quo in data mining, predictive modeling, and more. With a strong emphasis on ongoing training and a clearly defined career path, you'll be part of a dynamic team dedicated to excellence. Embrace the chance to develop your talents and contribute to impactful projects while enjoying a supportive work environment that values your growth and success.

Servicios

Ongoing training plan
Clearly defined career plan
Community support activities
Sports Club tournaments

Formación

  • Recent graduates or final year students are encouraged to apply.
  • Desirable knowledge of modeling techniques and statistical programming.

Responsabilidades

  • Work on key projects in data mining and predictive modeling.
  • Provide quantitative support to business and R&D projects.

Conocimientos

Statistical programming languages (SAS, R, Python, Matlab)
Modeling techniques (logit, GLM, time series, decision trees, random forests, clustering)
Strong computer skills
Ability to learn quickly
Knowledge of other languages

Educación

Postgraduate studies in Data Science or Quantitative Finance
Solid academic record
Final year students

Herramientas

Hadoop
Hive

Descripción del empleo

You will be working on 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 providing quantitative support to business and R&D projects.

Requirements

  1. Recent graduates or final year students.
  2. Desirable 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.).
  3. Solid academic record.
  4. Strong computer skills.
  5. Postgraduate studies and/or specialised courses, especially in Data Science, Quantitative Finance, or similar, are an asset.
  6. Knowledge of other languages is desirable.
  7. Get up and go attitude, maturity, responsibility, and strong work ethic.
  8. Strong ability to learn quickly.
  9. Able to easily integrate 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 on high-profile consulting projects in the industry,
  • for the largest companies, leaders in their markets,
  • alongside top industry management facing national and global challenges,
  • as part of an extraordinary team of professionals whose values and culture set industry benchmarks.

Ongoing training plan, with approximately 10% of business turnover dedicated to training

  • Specialist knowledge courses, external expert courses, professional skills courses, and language courses.
  • Last year, our staff received over 375,000 hours of training across more than 150 courses.

Clearly defined career plan

  • Internal promotion based solely on merit.
  • The partnership-based management model offers all professionals the opportunity to become part of the firm’s group of partners.

Complementary experiences

  • University: maintaining close relationships with prestigious universities worldwide.
  • Social Action: organizing more than 30 community support activities.
  • Sports Club: internal and external tournaments.
Consigue la evaluación confidencial y gratuita de tu currículum.
o arrastra un archivo en formato PDF, DOC, DOCX, ODT o PAGES de hasta 5 MB.