Data Scientist — AI for Global Business Transformation

McKinsey

Amsterdam

Vor Ort

EUR 75.000 - 110.000

Vollzeit

Vor 8 Tagen

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Zusammenfassung

McKinsey & Company’s QuantumBlack arm is seeking a Data Scientist to advance analytics across healthcare, automotive, energy, and sports sectors. You will work with interdisciplinary teams to translate business needs into analytical challenges, build models, and drive measurable outcomes in diverse industries.

Based in Amsterdam or Brussels, you will collaborate globally with data scientists, engineers, and product managers, contributing to R&D and presenting at conferences while developing

Qualifikationen

  • Bachelor's, Master's or PhD in computer science, machine learning, applied statistics, mathematics, engineering or AI.
  • Professional experience applying ML and data mining techniques to real problems with copious amounts of data.
  • Programming in Python and R (required); familiarity with SQL.
  • Ability to prototype statistical analyses and modeling algorithms and apply these to data-driven solutions.
  • Ability to independently own and drive model development, balancing demands and deadlines.
  • Familiarity with PySpark, Databricks, Kedro, Docker/Kubernetes, and cloud platforms (AWS, GCP, Azure).

Aufgaben

  • Collaborate with clients and interdisciplinary teams to develop analytics solutions.
  • Translate business problems into analytical challenges, build models, and evaluate them with relevant metrics.
  • Contribute to internal tools, participate in R&D projects, and share insights.
  • Attend conferences and present at industry events where applicable.

Kenntnisse

Python
R
SQL
Machine Learning
Data Mining
Prototyping
Communication

Ausbildung

Bachelor's/Master's/PhD in CS/ML/AI/Math/Engineering

Tools

Docker
Kubernetes
Databricks
Airflow
PySpark
Kedro
AWS
GCP
Azure

Jobbeschreibung

McKinsey & Company’s QuantumBlack arm is seeking a Data Scientist to advance analytics across healthcare, automotive, energy, and sports sectors. You will work with interdisciplinary teams to translate business needs into analytical challenges, build models, and drive measurable outcomes in diverse industries.

Based in Amsterdam or Brussels, you will collaborate globally with data scientists, engineers, and product managers, contributing to R&D and presenting at conferences while developing

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