Data Scientist, AI for Real-World Impact

QuantumBlack, AI by McKinsey; Greater London; On-site; GBP 42,000 - 64,000; Full time

Job summary

QuantumBlack, AI by McKinsey in London invites you to join a team solving complex business challenges with advanced analytics, ML, and data science. You will work with interdisciplinary teams across clients, contribute to cutting-edge projects, and help deploy ML solutions.

We value strong technical skills, curiosity, and collaboration. You’ll learn through apprenticeship and mentorship, attend conferences, and have opportunities to grow as a technologist and leader.

Qualifications

• Strong formal foundation in ML, statistics, or related fields.
• Experience applying ML to real-world problems with substantial data sets.
• Proficiency in Python, SQL, and ML toolchains (PyData stack).
• Ability to prototype and deploy ML algorithms and translate outputs to data-driven solutions.
• Experience deploying ML/AI in production or applied environments is a plus.

Responsibilities

• Collaborate with clients and interdisciplinary teams to develop analytics solutions.
• Translate business challenges into analytical problems and build models.
• Deploy ML solutions and contribute to internal tools and R&D.
• Engage in knowledge sharing and attend leading conferences where relevant.

Skills

Python

SQL

PySpark

Machine Learning

Data Mining

Big Data

Docker

Kubernetes

Cloud (AWS/GCP/Azure)

Databricks

Kedro

Airflow

Hadoop

PyData stack

English communication

Time management

Willingness to travel

Education

Bachelor’s, Master’s, or PhD in Computer Science, Machine Learning, Applied Statistics, Mathematics, Engineering, Physics

Tools

Databricks

Kedro

Airflow

Docker

Kubernetes

Cloud platforms (AWS/GCP/Azure)

PySpark

Hadoop

Job description

QuantumBlack, AI by McKinsey in London invites you to join a team solving complex business challenges with advanced analytics, ML, and data science. You will work with interdisciplinary teams across clients, contribute to cutting-edge projects, and help deploy ML solutions.

We value strong technical skills, curiosity, and collaboration. You’ll learn through apprenticeship and mentorship, attend conferences, and have opportunities to grow as a technologist and leader.