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DATA SCIENCE CONSULTANT A CORUÑA

Management Solutions

La Coruña

Presencial

EUR 30.000 - 50.000

Jornada completa

Hace 11 días

Descripción de la vacante

A leading consulting firm in La Coruña seeks recent graduates in Mathematics, Physics, or Statistics to work on key projects in data mining and predictive modeling. Candidates should have strong programming skills in languages like Python and R, and exhibit a strong work ethic. This role offers ongoing training and a clear career path with opportunities for internal promotion.

Servicios

Ongoing training plan
Working on high-profile projects
Opportunity for internal promotion

Formación

  • Recent graduates or final year students required.
  • Solid academic record expected.
  • Knowledge of languages and strong work ethic desirable.

Responsabilidades

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

Conocimientos

Knowledge of modeling techniques
Statistical programming languages
Strong computer skills
Ability to learn quickly
Ability to integrate into teams

Educación

Master's degree in Mathematics, Physics, Statistics, Econometrics or Quantitative fields
Postgraduate studies in Data Science or similar

Herramientas

SAS
R
Python
Matlab
Hadoop
Descripción del empleo
Overview

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 providing quantitative support to the business and R&D projects.

Qualifications
  • Recent graduates or final year students from disciplines relating to Mathematics, Physics, Statistics, Econometrics or other Quantitative fields. A Master's degree qualification will be taken into account when determining salary conditions.
  • Postgraduate studies and/or specialised courses are an asset, especially in Data Science, Quantitative Finance or similar.
  • 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.
  • 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.
Benefits

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

Ongoing training plan, with approximately 10% of business turnover spent in training

  • 600 hours of training during the first two years.
  • Specialist knowledge courses, external expert courses, professional skills courses and language courses.
  • Last year our staff as a whole received over 375,000 hours of training spanning more than 150 courses.
  • Every new joiner is enrolled in our degree in Business Consulting Management Solutions- ICADE Business School, offering a specialization in Big data and Data Science for professionals with a technological or mathematical background.
Career path
  • 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 experiences
  • University: we maintain a close relationship with the world’s most prestigious universities.
  • Social Action: we organize more than 30 community support activities.
  • Sports Club: internal and external tournaments.
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