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
EnglishJob 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.