Reliability Analytics Data Scientist for AI & ML in Cloud

Google Inc.; Greater London; On-site; GBP 90,000 - 130,000; Full time

Job summary

Google London, UK is seeking a Data Scientist in Research, Reliability Analytics to design statistical and ML tools that improve the reliability of our Google Cloud Platform infrastructure.

You will collaborate with the Platform Reliability Engineering team, engineering and product partners, and mentor junior colleagues while building robust data pipelines for infrastructure integration.

Qualifications

• Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
• 3 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 3 years of work experience with a PhD degree.
• Experience with Python, SQL, and statistical modeling.
• Experience working with generative AI agents.

Responsibilities

• Design and build statistical, machine learning, and AI tools, alongside investigative data pipelines, for integration into existing or new reliability infrastructure.
• Apply data science to improve Google Cloud Platform reliability in partnership with the Platform Reliability Engineering (PRE) organization, focusing on change supervision and rollouts.
• Collaborate closely with engineering and product teams to build and improve reliability tools according to engineering priorities.
• Gain deep knowledge of relevant engineering infrastructure and data assets to influence engineering roadmaps and priorities.
• Contribute to team-wide learning forums and broader data science initiatives.

Skills

Python

SQL

Statistics

Generative AI

Mentoring

Education

Master's degree in Statistics

PhD degree in Statistics

Tools

Git

Cloud computing

Job description

Google London, UK is seeking a Data Scientist in Research, Reliability Analytics to design statistical and ML tools that improve the reliability of our Google Cloud Platform infrastructure.

You will collaborate with the Platform Reliability Engineering team, engineering and product partners, and mentor junior colleagues while building robust data pipelines for infrastructure integration.