Data Scientist: AI & Analytics for Global Impact

Mckinsey & Company; Bardi; On-site; EUR 70,000 - 110,000; Full time

Benefits offered by this job

Mentorship program

Global collaboration

Learning culture

Job summary

QuantumBlack, AI by McKinsey in Italy invites a Data Scientist to join multi-disciplinary teams turning data into real-world impact for global clients. You will develop advanced modeling and analytics solutions, collaborating with clients and internal experts to drive data-driven decisions.

This role offers world-class learning, mentorship, and exposure to 65+ countries, with opportunities to influence major client outcomes while contributing to responsible AI and scalable, secure solutions.

Qualifications

• Bachelor, Master, or PhD in computer science, ML, statistics, mathematics, engineering, or related field.
• Up to 2 years of programming or data science experience; strong potential welcomed.
• Strong foundation in statistics and data analysis.
• Proficiency in Python; R/SQL/Spark welcomed.
• GenAI concepts (LLMs, embeddings, RAG) desirable.
• Experience with cloud platforms (AWS, GCP, Azure) a plus.

Responsibilities

• Develop high-quality data science models and analytics products.
• Collaborate with client teams and internal experts to present findings.
• Provide actionable recommendations to drive data-driven decisions.
• Design data-driven strategies aligned with client goals and industry best practices
• Stay current with data science tools and ensure scalable, secure solutions

Skills

Python

SQL

R

Team collaboration

Communication

GenAI

TensorFlow

PyTorch

Education

Bachelor, Master, or PhD in computer science, ML, statistics, mathematics, engineering, or related field

Tools

TensorFlow

PyTorch

Hadoop

Langchain

llamaindex

AWS

GCP

Azure

Spark

Job description

QuantumBlack, AI by McKinsey in Italy invites a Data Scientist to join multi-disciplinary teams turning data into real-world impact for global clients. You will develop advanced modeling and analytics solutions, collaborating with clients and internal experts to drive data-driven decisions.

This role offers world-class learning, mentorship, and exposure to 65+ countries, with opportunities to influence major client outcomes while contributing to responsible AI and scalable, secure solutions.