Senior Data Scientist, Reliability Analytics - AI for Cloud

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

Job summary

Google is seeking a Senior Data Scientist in London to design statistical, ML, and AI tools for reliability infrastructure. You will influence engineering priorities and work with the Platform Reliability Engineering organization on change supervision and rollouts.

You will collaborate with engineering and product teams, build data pipelines, and gain deep knowledge of data assets to shape roadmaps. This role emphasizes impact on Google Cloud Platform reliability and data-driven decisions.

Qualifications

• Master's degree in a quantitative field.
• 5+ years applying analytics to product/business problems; or 3+ years with a PhD.
• Experience with Python, SQL, and statistical modelling.
• Experience with generative AI agents.

Responsibilities

• Design statistical, ML, and AI tools for reliability infrastructure.
• Improve Google Cloud Platform reliability with PRE collaboration.
• Work with engineering/product teams to build reliability tools.
• Gain deep knowledge of infrastructure and data to influence roadmaps.
• Contribute to data science learning forums and initiatives.

Skills

Python

SQL

Statistical modelling

Generative AI

Education

Master's degree

Job description

Google is seeking a Senior Data Scientist in London to design statistical, ML, and AI tools for reliability infrastructure. You will influence engineering priorities and work with the Platform Reliability Engineering organization on change supervision and rollouts.

You will collaborate with engineering and product teams, build data pipelines, and gain deep knowledge of data assets to shape roadmaps. This role emphasizes impact on Google Cloud Platform reliability and data-driven decisions.