Data Scientist Intern - Madrid, España - McKinsey & Company

McKinsey & Company
McKinsey & Company
Empresa verificada
Madrid, España

hace 4 semanas

Isabel García

Publicado por:

Isabel García

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Descripción

Who You'll Work With:


  • You will join our Madrid office for 48 weeks during the summer. As a data scientist intern in our McKinsey Analytics team, QuantumBlack, you will work with other data scientists, data engineers, machine learning engineers, designers and project managers on interdisciplinary projects.
  • This global practice supports clients in many different industries facing challenges of developing and implementing tailored concepts for prediction and prescription.
    Applications for Summer Internship 2024 are now open.

What You'll Do:


  • You will focus on the development of advanced analytics models to optimize underlying business problems.
  • In this role, you'll have the opportunity to shape the future of what datadriven organizations look like, drive processes for extracting and use that data in creative ways. You will create new lines of thinking within an infinite number of clients and situations. You will create valuable, transformative business strategies through the measurement, manipulation, reporting and dissemination of broad sets of data.
    Our Tech Stack
  • While we advocate for using the right tech for the right task, we often leverage the following technologies: Python, PySpark, TensorFlow, PyTorch, SQL, Airflow, Databricks, our own OSS called Kedro, container technologies such as Docker and Kubernetes, cloud solutions such as AWS, GCP or Azure, and more
    Qualifications:
  • Student in penultimate year of studies
  • Background in mathematics, statistics, physics, engineering
  • 01 year of professional experience in programming; experience applied to business problems is a plus
  • Knowledge in programming (focus on machine learning) Python (must), R (highly valued), SPSS, SAS, Ruby, Hadoop (valued)
  • Statistical knowledge is a plus
  • Demonstrated aptitude for analytics
  • Proven record of leadership in a work setting and/or through extracurricular activities
  • Ability to work collaboratively in a team environment
  • Ability to work effectively with people at all levels in an organization
  • Skills to communicate complex ideas effectively
  • Ability to communicate complex ideas effectively, both verbally and in writing, in English and Spanish
  • Knowledge of other languages including Portuguese, German, French and Italian will be valued

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