Data Scientist II - QuantumBlack, AI by McKinsey

Role overview

QuantumBlack, AI by McKinsey is looking for a Data Scientist II to join its London-based team. In this role, you will work on advanced analytics and machine learning solutions that address complex business problems for clients across industries. The position combines hands-on technical work, client engagement, and collaboration with multidisciplinary teams in a fast-paced, high-performance environment.

What you will do

• Partner with clients and internal teams to shape analytical solutions that solve real business challenges.
• Turn business needs into structured analytical problems and design models to address them.
• Evaluate model performance using appropriate metrics and refine solutions based on results.
• Improve code quality and contribute to internal tools and reusable analytics assets.
• Support research and development initiatives and participate in cutting-edge technical projects.
• Work with data scientists, data engineers, machine learning engineers, designers, and product managers across regions.
• Help design and deploy machine learning and AI solutions that create measurable business impact.
• Contribute to conference-level work and, where relevant, attend or present at events such as NIPS and ICML.
• Identify patterns in data and use them to improve client operations and competitive advantage.

What the team environment offers

• A strong learning culture with structured apprenticeship and ongoing coaching.
• Regular feedback and development-focused support from colleagues at all levels.
• A workplace where your ideas are heard and can influence outcomes from day one.
• A global network of colleagues across 65+ countries and more than 100 nationalities.
• A competitive salary aligned to location, experience, and skills, plus a broad benefits package for overall well-being.

What you need

• A bachelor’s, master’s, or PhD in a technical discipline such as computer science, machine learning, applied statistics, mathematics, engineering, physics, or a related field.
• At least 2 years of professional experience using machine learning and data mining to solve practical problems with large datasets.
• Hands-on programming experience with SQL and Python’s data science ecosystem.
• Working knowledge of at least one big data technology such as PySpark, Hive, or Hadoop.
• Capability to build and deploy statistical and machine learning models, and convert analytical findings into actionable solutions.
• Solid understanding of machine learning methods in data-rich settings.
• Exposure to deploying ML/AI solutions in production or business environments is an advantage.
• Familiarity with tools such as Python, PySpark, Airflow, Databricks, Kedro, Dask/RAPIDS, Docker, Kubernetes, and cloud platforms like AWS, GCP, or Azure is helpful.
• Interest in Generative AI and agentic systems is a strong plus.
• Good time management and comfort working autonomously in a complex environment.
• Willingness to travel.
• Strong English communication skills, both written and verbal, with the ability to adapt to different audiences and seniority levels.

Additional information

You’ll be part of a demanding but rewarding culture that values resilience, curiosity, and continuous improvement. The role is based in London, England, United Kingdom and involves collaboration with colleagues and clients around the world. A competitive compensation package is offered, though the exact salary is not specified.

Growth and culture

The role is designed for people who want to build long-term capabilities while making an immediate impact. You will receive mentorship, apprenticeship-style learning, and exposure to senior stakeholders and challenging work that can accelerate your development as both a technologist and a leader.