Data Scientist

1 giorno fa

Pavia, Lombardy, Italia McKinsey & Company Tempo pieno

Overview

In this role, you will contribute to multi-disciplinary data science projects for global clients, delivering scalable analytics and AI-driven insights. You'll collaborate with client teams and internal experts to translate data into actionable recommendations and outcomes. The position emphasizes continuous learning, ethical and responsible AI, and working within a diverse, high-performance culture. You will gain exposure to various industries while advancing your technical and leadership capabilities.

Retribuzione / Benefits

  • world-class benefits
  • competitive salary
  • comprehensive benefits package
  • structured learning programs
  • mentorship and apprenticeship
  • global collaboration opportunities

Responsabilità

  • Develop and deliver data science solutions and models for real-world business problems
  • Collaborate with client teams and internal experts to present findings and drive adoption
  • Build large-scale analytics and data products that are secure and scalable
  • Apply best practices in data science and responsible AI; stay updated with latest tools
  • Contribute to proprietary tools and methodologies and share learnings across teams
  • Engage with stakeholders at all levels to ensure alignment with client goals

Requisiti fondamentali

  • Bachelor's, Master's, or PhD in computer science, machine learning, applied statistics, mathematics, engineering, or related field
  • Up to 2 years of experience in programming or data science
  • Proficiency in Python (must)
  • Experience with R, SQL, or Spark (valued)
  • Familiarity with TensorFlow, PyTorch, or Hadoop (plus)
  • Familiarity with LLM tech-stack (Langchain, llamaindex) (plus)
  • Experience with AWS, GCP, or Azure (nice-to-have)
  • Strong verbal and written communication in Italian; fluent English; additional languages a plus
  • team collaboration
  • clear communication with stakeholders
  • ability to learn quickly and adapt in a fast-paced environment
  • Python
  • SQL
  • R