Data Scientist - AI & Data Solutions for Global Impact

McKinsey; Lombardia; Híbrido; EUR 45.000 - 75.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Competitive salary

Structured apprenticeship

Global community

World-class benefits

Descripción de la vacante

McKinsey in Italy is seeking a data scientist who will work in multi-disciplinary teams to tackle real-world data challenges, develop high-quality machine learning solutions, and present findings to clients. You will collaborate with data scientists, ML engineers, project managers, and business experts, focusing on scalable, secure models and responsible AI practices.

Proficiency in Python, SQL, and cloud tools is expected.

Formación

• Bachelor’s, Master’s, or PhD in CS, ML, statistics, mathematics, or engineering.
• Up to 2 years of programming or data science experience.
• Proficient in Python; knowledge of R/SQL/Spark valued.
• Strong statistics background and familiarity with GenAI concepts.

Responsabilidades

• Develop data science solutions and products for real-world impact.
• Collaborate with clients and internal teams to present findings and recommendations.
• Ensure models are scalable, secure, and aligned with best practices.
• Apply responsible AI and stay updated on evolving tools and techniques.

Conocimientos

Python

R

SQL

Spark

TensorFlow

PyTorch

Hadoop

GenAI concepts

LLM tech-stack

Communication

Team collaboration

English fluency

Italian language

Educación

Bachelor’s/Master’s/PhD in CS/ML/Statistics/Engineering

Herramientas

Docker

Kubernetes

Kedro

CausalNex

MLRun

Langchain

Descripción del empleo

McKinsey in Italy is seeking a data scientist who will work in multi-disciplinary teams to tackle real-world data challenges, develop high-quality machine learning solutions, and present findings to clients. You will collaborate with data scientists, ML engineers, project managers, and business experts, focusing on scalable, secure models and responsible AI practices.

Proficiency in Python, SQL, and cloud tools is expected.