Company: McKinsey & Company
Location: London
Job Description:
Overview
In this role you apply advanced analytics to large datasets for top institutions, turning data into actionable insights. You’ll collaborate with client teams to deliver rapid analyses and build reusable data-driven solutions. You’ll advocate for data-driven decision making and help showcase McKinsey’s data capabilities to clients and internal stakeholders. The position offers mentorship, structured learning, and a strong culture of growth.
Pay / Benefits
- competitive salary
- comprehensive benefits package
- continuous learning
- mentorship
- global community
- growth opportunities
Responsibilities
- Apply predictive modelling, geospatial analysis, generative AI, optimization, and simulation to large datasets
- Partner with client teams to drive week-one analyses and rapid analytics development
- Develop data-driven solutions and reusable insights for clients
- Advise on dataset selection and analytic strategies to maximize impact
- Collaborate across practices and technical teams to ensure coherent data ecosystems
- Maintain and present McKinsey’s data capabilities to clients and internal stakeholders
- Operationalize KPIs and reinforce data risk policies
Key requirements
- Master’s degree in a quantitative field
- 2+ years in data science, data engineering, or related field
- Experience with ETL, Airflow, Databricks, and data modelling (3NF, data vault)
- Proficient in Python and JavaScript; experience with FastAPI and React
- Hands-on with LLMs, agentic AI, prompt engineering, RAG, tool calling, multi-agent workflows
- Familiarity with LangChain, LangGraph, LlamaIndex, model APIs; Azure; Kubernetes; Docker
- Strong communication and collaboration skills; ability to explain complex topics to varied audiences
- Entrepreneurial and self-starting mindset; comfortable with ambiguity
- inquisitive
- collaborative
- ownership
- Python
- JavaScript
- FastAPI
…
Posted: October 1st, 2026