Impactful Data Scientist — R&D & Global Collaboration

McKinsey

Amsterdam

Remote

EUR 90,000 - 150,000

Full time

20 hours ago
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Job summary

McKinsey & Company seeks a talented analytics professional to develop impactful ML-driven solutions across industries from Amsterdam or Brussels. You will partner with clients and global teams to translate business problems into analytic challenges, build models, and deliver measurable impact.

You will contribute to internal tools, participate in R&D, and have opportunities to present at conferences like NIPS/ICML.

Qualifications

  • Advanced degree in CS/ML/statistics/math/engineering/AI.
  • Experience applying ML/data mining to real problems with large data.
  • Programming in R and/or Python; SPSS/SAS/Ruby/Hadoop valued.
  • Prototype analytical models and apply to new domains.
  • Independently own and drive model development.
  • Excellent analytics and business understanding; strong communication in English; French/Dutch valued.
  • Willingness to travel.

Responsibilities

  • Collaborate with clients and interdisciplinary teams to develop analytics solutions.
  • Translate business problems into analytical challenges and build models.
  • Contribute to internal tools and participate in R&D projects.
  • Attend conferences and share insights; work with global teams.

Skills

ML / data mining
R
Python
SPSS
SAS
Ruby
Hadoop
Statistical modeling
Model development
Analytics
Time management
Willingness to travel
Presentation skills
English proficiency
French or Dutch (valued)

Education

Advanced degree in CS/ML/statistics/math/engineering/AI

Tools

Python
PySpark
PyData stack
SQL
Airflow
Databricks
Kedro
Dask/RAPIDS
Docker
Kubernetes
AWS
GCP
Azure

Job description

McKinsey & Company seeks a talented analytics professional to develop impactful ML-driven solutions across industries from Amsterdam or Brussels. You will partner with clients and global teams to translate business problems into analytic challenges, build models, and deliver measurable impact.

You will contribute to internal tools, participate in R&D, and have opportunities to present at conferences like NIPS/ICML.

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