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Data Science Consultant – Bilbao

Management Solutions · Bilbao

🇬🇧 English
logit GLM time series decision trees random forests clustering SAS Python Matlab Hadoop Hive

Job description

About the role

You will join a leading consulting firm to work on high‑impact projects for top organisations. The role focuses on data mining, predictive and trend modelling, Monte‑Carlo simulations, and quantitative support for business and R&D initiatives.

Key responsibilities

  • Develop and implement data mining and knowledge‑discovery solutions.
  • Build predictive, trend and simulation models (including Monte‑Carlo).
  • Review and enhance credit rating and scoring models.
  • Provide quantitative support to business units and research projects.
  • Collaborate with multidisciplinary teams on client engagements.

Required profile

  • Recent graduate or final‑year student in Mathematics, Physics, Statistics, Econometrics or related quantitative fields.
  • Master’s degree considered for salary determination; postgraduate courses in Data Science or Quantitative Finance are a plus.
  • Strong academic record and solid computer skills.
  • Ability to learn quickly, work responsibly and integrate into multidisciplinary teams.

Required skills

  • Modelling techniques: logit, GLM, time‑series analysis, decision trees, random forests, clustering.
  • Statistical programming: SAS, R, Python, Matlab.
  • Big‑data tools and platforms: Hadoop, Hive, etc.

What we offer

  • Exposure to high‑profile consulting projects for market‑leading companies.
  • Extensive training program – 600 hours in the first two years and 10 % of turnover invested in learning.
  • Enrollment in a Business Consulting Management Solutions degree (ICADE Business School) with a specialization in Big Data and Data Science.
  • Clear career progression, merit‑based promotions and partnership opportunities.
  • Access to university collaborations, community‑support activities and sports clubs.

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Published 3 months ago

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Management Solutions

Bilbao