Data Scientist: High-Impact, Fast-Track Learning

QuantumBlack, AI by McKinsey

Milano

In loco

EUR 55.000 - 95.000

Tempo pieno

14 giorni+
Generatore di candidature

Non inviare un curriculum generico — genera un curriculum e una lettera di presentazione personalizzati per questo specifico impiego.

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Vantaggi offerti da questo lavoro

Mentorship
World-class learning programs

Descrizione del lavoro

QuantumBlack, AI by McKinsey in Milano seeks a data science professional to join multi-disciplinary teams delivering data-driven solutions for clients across industries.

You will develop high-quality modeling and analytics using Python, SQL, and modern ML frameworks, collaborating with ML engineers, data engineers, and business stakeholders to turn complex datasets into actionable strategies while adhering to responsible AI practices.

Competenze

  • Strong foundation in statistics and data analysis is required.
  • Proficiency in Python is a must; experience with R, SQL, or Spark is valued.
  • Familiarity with LLM tech-stack (Langchain, llamaindex) is a plus.

Mansioni

  • Work in multi-disciplinary teams to deliver data science solutions for clients.

Conoscenze

Python
SQL
R
Spark
TensorFlow
PyTorch
Hadoop
Langchain
llamaindex
AWS
GCP
Azure
Kedro
CausalNex
MLRun

Formazione

Bachelor’s, Master’s, or PhD in computer science, machine learning, applied statistics, mathematics, engineering, or a related field

Strumenti

Docker
Kubernetes

Descrizione del lavoro

QuantumBlack, AI by McKinsey in Milano seeks a data science professional to join multi-disciplinary teams delivering data-driven solutions for clients across industries.

You will develop high-quality modeling and analytics using Python, SQL, and modern ML frameworks, collaborating with ML engineers, data engineers, and business stakeholders to turn complex datasets into actionable strategies while adhering to responsible AI practices.

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