Azure Data Scientist: ML, Production Deployments & Azure ML

Savant Recruitment

United Kingdom

Hybrid

GBP 50,000 - 70,000

Full time

14 days+

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Job summary

A global consultancy in the United Kingdom is seeking a skilled Data Scientist to join their team. The role involves running machine learning workloads on Azure, managing and optimizing models, and collaborating with both local and remote teams. The ideal candidate should have strong programming skills, hands-on experience with Azure Machine Learning, and a solid understanding of data and its limitations. This position requires the ability to handle multiple projects simultaneously and may benefit from the Azure Data Scientist Associate Certification.

Qualifications

  • Deep understanding of data and its limitations.
  • Experience in planning and creating environments for data science workloads on Azure.
  • Competence in running experiments and training predictive models.

Responsibilities

  • Implement and run machine learning workloads on Azure.
  • Manage, optimize, and deploy machine learning models into production.
  • Work closely with local and remote teams.

Skills

Hands-on experience with Azure Machine Learning
Proficiency in Python or R
Strong programming skills
Knowledge of SQL and NoSQL databases
Experience with advanced statistics and modelling techniques
Ability to handle multiple projects
Strong communication skills

Education

Azure Data Scientist Associate Certification

Job description

A global consultancy in the United Kingdom is seeking a skilled Data Scientist to join their team. The role involves running machine learning workloads on Azure, managing and optimizing models, and collaborating with both local and remote teams. The ideal candidate should have strong programming skills, hands-on experience with Azure Machine Learning, and a solid understanding of data and its limitations. This position requires the ability to handle multiple projects simultaneously and may benefit from the Azure Data Scientist Associate Certification.
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