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Paid Internship
Work Mode
Time Spent
Required Degree
Duration

24Open Positions

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Data Scientist Intern - QuantumBlack, AI by McKinsey

McKinsey & Company
Found 4 weeks ago
Location
Madrid, Spain
Time
Not disclosed
Work Mode
Not disclosed
Salary
On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.
Visa Help
Not disclosed
Last Verified
4 weeks ago

Education

  • Bachelor

Skills & Qualifications

Technical Skills

  • Python
  • PySpark
  • PyData stack
  • SQL
  • Airflow
  • Databricks
  • Kedro
  • Dask/RAPIDS
  • Docker
  • Kubernetes
  • AWS
  • GCP
  • Azure
  • R
  • SPSS
  • SAS
  • Ruby
  • Hadoop

Soft Skills

  • Communication skills
  • Time management
  • Resilience
  • Curiosity
  • Drive
  • Determination

Job Description

You will focus on the development of advanced analytics models to optimize underlying business problems. In this role, you'll help shape the future of what data-driven 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. You will apply and advise on state-of-the-art advanced analytic and quantitative tools, modeling techniques to derive business insights, solve complex business problems and improve decisions. Additionally, you will review, support and advise on the day-to-day analytics requirements of clients’ key operational processes while continually improving the impact of these processes.

Requirements

  • Student in penultimate year of studies - graduating in 2027
  • Background in mathematics, statistics, physics, engineering
  • Programming experience (focus on machine learning): R and/or Python (must), SPSS, SAS, Ruby, Hadoop (valued).
  • Ability to prototype statistical analysis and modeling algorithms and apply these algorithms for data driven solutions to problems in new domains
  • Ability to independently own and drive model development, balancing demands and deadlines.
  • Demonstrated aptitude for analytics.
  • Exceptional time management to meet your responsibilities in a complex and largely autonomous work environment
  • Strong communication skills, both verbal and written, in English and Spanish, with the ability to adjust your style to suit different seniorities and explain complex analytical concepts to people from other fields

Related Field

  • AI & Machine Learning

Related Subfield

  • Applied Machine Learning

Languages

  • English
  • Spanish

Nice to Haves

  • Portuguese
  • German
  • French
  • Italian
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