DATA SCIENCE CONSULTANT BARCELONA

Management Solutions
Barcelona, Spain
5 days ago

Role details

Contract type
Internship / Graduate position
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English

Job location

Barcelona, Spain

Tech stack

Big Data
Cluster Analysis
Data Mining
Generalized Linear Model
R
Hadoop
Hive
Python
Matlab
SAS (Software)
Data Management

Job description

Spain DATA SCIENCE CONSULTANT BARCELONA Barcelona / Graduate / Number of vacancies : 5

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 quant support to business and R&D projects., * Participation in high-profile consulting projects with leading companies at national and global levels.

  • Collaboration with top industry management facing significant challenges.
  • Being part of a professional team with values and culture that set industry standards.

Ongoing training, with about 10% of business turnover invested in development:

  • 600 hours of training in the first two years.
  • Specialized courses, external expert sessions, professional skills, and language training.
  • Over 280,000 hours of training across 700+ courses last year.
  • New hires enroll in our Business Consulting Management Solutions program at ICADE Business School, specializing in Big Data and Data Science.

Career Progression

  • Merit-based internal promotions.
  • Partnership management model offering pathways to become a firm partner.

Additional Experiences

  • Strong ties with prestigious universities.
  • Community support activities and social initiatives.
  • Internal and external sports tournaments.

Requirements

  • Recent graduates or final-year students in disciplines related to Mathematics, Physics, Statistics, Econometrics, or other Quantitative fields. A Master's degree may influence salary conditions.
  • Postgraduate studies or specialized courses in Data Science, Quantitative Finance, or similar are advantageous.
  • Knowledge of modeling techniques (logit, GLM, time series, decision trees, random forests, clustering), statistical programming languages (SAS, R, Python, Matlab), and big data tools (Hadoop, Hive, etc.) is desirable.
  • Strong academic record.
  • Knowledge of additional languages is a plus.
  • Proactive attitude, maturity, responsibility, and a strong work ethic.
  • Quick learner with the ability to adapt easily to multidisciplinary teams.

Apply for this position