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Data Scientist II — ML Leader for Impact & Growth

McKinsey & Company

Greater London

On-site

GBP 50,000 - 80,000

Full time

Today
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Job summary

A leading management consulting firm in Greater London is looking for a Data Scientist II. In this role, you will develop advanced analytics solutions and optimize code to tackle complex business challenges. Candidates should have a solid background in machine learning and data mining, with 2-5+ years of experience. The position offers opportunities for growth and collaboration with top-tier talent. A competitive salary and comprehensive benefits package are part of the offer.

Benefits

Continuous learning and mentorship
Global community
World-class benefits

Qualifications

  • 2-5+ years of professional experience applying machine learning to solve real-world problems.
  • Strong understanding of machine learning methods in complex, data-rich environments.
  • Excellent communication skills, both verbal and written.

Responsibilities

  • Collaborate with clients to develop advanced analytics solutions.
  • Translate business challenges into analytical problems.
  • Deploy statistical and machine learning algorithms.
  • Work on interdisciplinary projects to solve complex business challenges.

Skills

Machine learning techniques
Data mining
SQL
Python
Big data frameworks
Statistical algorithms

Education

Bachelor’s, Master’s, or PhD in Computer Science, Machine Learning, Applied Statistics, Mathematics, Engineering, Physics

Tools

PySpark
Hadoop
SQL
Docker
Kubernetes
AWS
GCP
Azure
Job description
A leading management consulting firm in Greater London is looking for a Data Scientist II. In this role, you will develop advanced analytics solutions and optimize code to tackle complex business challenges. Candidates should have a solid background in machine learning and data mining, with 2-5+ years of experience. The position offers opportunities for growth and collaboration with top-tier talent. A competitive salary and comprehensive benefits package are part of the offer.
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