Job: Analytics Grad Program - Client Capabilities Network

Company : McKinsey & Company; Johannesburg; Presencial; ZAR 300 000 - 520 000; Tempo integral

Resumo da oferta

McKinsey & Company in Johannesburg invites graduates to join the Analytics Graduate Program within the Client Capabilities Network. You will work at the forefront of machine learning, generative AI, and emerging AI technologies to help clients navigate the age of Artificial Intelligence.

You will contribute across the AI value chain, from shaping strategy to building and deploying solutions using Python, PySpark, SQL, and cloud platforms such as AWS, GCP, and Azure.

Qualificações

• Bachelor's or Master's in data analytics, CS, ML, or related field with strong academic performance.
• Proficiency in Python and data science tooling; experience with PySpark, SQL is a plus.

Responsabilidades

• Contribute across the full AI value chain, from strategy to hands-on building and deployment.
• Help clients identify AI value opportunities and develop multi-year roadmaps and operating models.

Conhecimentos

Machine learning

Python

PySpark

SQL

Cloud platforms

Formação académica

Bachelor's/Master's in analytics/CS

Ferramentas

AWS

GCP

Azure

Descrição da oferta de emprego

Analytics Grad Program - Client Capabilities Network

About

Description

At McKinsey’s CCN Analytics Graduate Program, you will work at the forefront of machine learning , generative AI, and emerging agentic AI technologies, helping leading organizations navigate into the age of Artificial Intelligence.

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Responsibilities

• You will contribute across the full AI value chain, from shaping big-picture strategy to hands-on building and coding.
• You will help clients identify where AI can create value across their business, develop multi-year AI roadmaps, and define the operating models needed to deliver them.
• This includes thinking through team structures, required capabilities, technology stacks, and investment priorities.
• You will also play a role in reimagining how business functions operate in an AI-native future.
• For example, you may help redesign functions such as fraud detection by integrating machine learning models, virtual AI agents, and generative AI co-pilots to enhance both efficiency and decision-making.
• In addition, you will build and deploy AI solutions, developing and scaling components using modern technologies such as Python, PySpark, SQL, and cloud platforms including AWS, GCP, and Azure. You will work with advanced tools and frameworks to bring these solutions to life in real-world client environments.

Qualifications

• Bachelor's or master's degree in data analytics, computer science, machine learning, applied statistics, mathematics or artificial intelligence, with a strong academic track record
• Experience (academic or professional) with data science tools and languages: Python (must), and possibly others like R, SPSS, SAS, or Hadoop

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