Data Scientist I

Salary: £80,000 - 90,000 per year

Requirements:

• Bachelors, Masters, or PhD degree in Computer Science, Machine Learning, Applied Statistics, Mathematics, Engineering, Physics, or another technical field
• Up to 2 years of professional experience applying machine learning and data mining techniques to real-world problems with substantial data sets
• Programming experience focused on machine learning, especially R and/or Python; SPSS, SAS, or similar tools are a nice-to-have
• Ability to prototype statistical analysis and modeling algorithms and apply them to develop data-driven solutions in new domains
• Ability to independently own and drive model development while balancing competing demands and deadlines
• Demonstrated aptitude for analytics and a passion for solving complex data challenges
• Experience with Generative AI and agentic systems is a strong plus
• Excellent time management and organizational skills in a complex and largely autonomous work environment
• Good presentation and communication skills, with the ability to explain complex analytical concepts to people from other fields
• Strong verbal and written communication skills in English and the local office language(s), with the ability to adapt to different audiences and seniority levels
• Willingness to travel

Responsibilities:

• Collaborate with clients and interdisciplinary teams to develop impactful analytics solutions, optimize code, and solve real-world business problems across diverse industries
• Partner with clients to understand their needs and translate business problems into analytical challenges
• Build models to solve business problems and evaluate them using relevant metrics
• Contribute to internal tools and participate in R&D projects
• Attend and present at conferences such as NIPS and ICML
• Identify patterns in data and deliver innovative solutions that help clients maintain their competitive advantage and improve operations
• Work with Data Scientists, Data Engineers, Machine Learning Engineers, Designers, and Product Managers worldwide on interdisciplinary projects
• Use math, statistics, and machine learning to derive insights from raw data
• Help global companies transform their businesses and enhance performance across industries such as healthcare, automotive, energy, and elite sports

Technologies:

• AI
• Support
• Machine Learning
• Python
• SAS
• Airflow
• AWS
• Cloud
• Databricks
• Docker
• GCP
• Kubernetes
• PySpark
• SQL

More:

We are McKinsey, and we offer a dynamic, innovative environment where you will work in London with world-class talent on interdisciplinary projects that connect technology and business value. We provide continuous learning through apprenticeship and structured programs, with clear, actionable feedback focused on your development. Your ideas and contributions will matter from day one, and our diverse global community spans 65+ countries and more than 100 nationalities. We also offer a competitive salary based on your location, experience, and skills, along with a comprehensive benefits package designed to support holistic well-being for you and your family.

last updated 39 week of 2026