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Data Science Consultant – Copenhagen

Management Solutions · Cuenca

New
Junior 🇬🇧 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 in Copenhagen, working 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 Monte‑Carlo simulation models.
  • Review and enhance credit rating and scoring models.
  • Provide quantitative support to business units and research projects.

Required profile

  • Recent graduate or final‑year student with a strong academic record.
  • Solid computer skills and a proactive, responsible attitude.
  • Ability to learn quickly and work effectively in multidisciplinary teams.

Required skills

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

What we offer

  • Exposure to high‑profile consulting projects for market leaders.
  • Extensive training program covering specialist, professional and language courses.
  • Clear career path with merit‑based promotion and partnership opportunities.
  • Access to university collaborations, community initiatives and sports clubs.

Questions fréquentes

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Published for 1 time siden

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Management Solutions

Cuenca