Senior Data Scientist: AI for Plant Optimization

McKinsey & Company

Wrocław

On-site

PLN 60,000 - 90,000

Full time

14 days+
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Benefits offered by this job

Comprehensive benefits package
Continuous learning and development

Job summary

McKinsey & Company in Wrocław is seeking a Data Science Specialist with advanced Python skills and 3+ years of analytics experience. You will drive client performance in heavy industry environments as part of the OptimusAI team.

Your role includes collaborating with experts, presenting insights to executives, and developing innovative algorithms. We offer world-class training and significant ownership from day one in a diverse environment.

Qualifications

  • 3+ years of hands-on experience in advanced analytics, ideally within heavy industry environments.
  • Proven ability to implement and maintain MLOps pipelines for seamless model integration and deployment.
  • Self-starter with excellent organizational abilities to drive tasks to completion.

Responsibilities

  • Collaborate in a dynamic team of experts to drive client performance.
  • Develop innovative products and algorithms addressing client needs.
  • Present insights directly to executive audiences.

Skills

Advanced Python programming skills
Hands-on experience in advanced analytics
Strong DevOps and backend engineering capabilities
Exceptional time management skills
Outstanding verbal and written communication skills in English

Education

Bachelor’s or master’s degree in data science, computer science, engineering

Tools

Docker
Kubernetes
Terraform
Ansible

Job description

McKinsey & Company in Wrocław is seeking a Data Science Specialist with advanced Python skills and 3+ years of analytics experience. You will drive client performance in heavy industry environments as part of the OptimusAI team.

Your role includes collaborating with experts, presenting insights to executives, and developing innovative algorithms. We offer world-class training and significant ownership from day one in a diverse environment.

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