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Data Science Lead, Health AI

United Kingdom, London · Job Posted February 14, 2026
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Job Description

At Microsoft AI, we are inventing an AI Companion for everyone – an AI designed with real personality and emotional intelligence that’s always in your corner. Defined by effortless communication, extraordinary capabilities, and a new level of connection and support, we want Copilot to define the next wave of technology. This is a rare opportunity to be a part of a team crafting something that challenges everything we know about software and consumer products. Our health team is on a mission to help millions of users better understand and proactively manage their health and wellbeing. We’re responsible for ensuring that Microsoft AI’s models and services are useful, trusted and safe across diverse customer health journeys. We’re looking for a deeply technical and mission-driven Data Scientist - Health AI to build the data foundations powering our health AI companion. You’ll architect, scale, and optimize the pipelines, datasets, and metrics frameworks that help us understand user behavior, evaluate model performance, and measure health impact. This role sits at the intersection of product, engineering, analytics, and applied AI—translating raw signals into insights that shape product decisions and ensure our health AI systems are safe, effective, and grounded in evidence.

Job Responsibility

  • Develop metrics for the healthcare category of Copilot usage and quality
  • Drive product insights, opportunity analysis, and track metrics to support efforts across Microsoft Copilot
  • Enable A/B testing and other experimentation for new features
  • Design, build, and maintain high-quality data pipelines and models that power analytics, dashboards, and product experimentation across health AI experiences
  • Partner with product and clinical counterparts to define source-of-truth datasets and standardized metrics for user engagement, safety, and health outcome evaluation
  • Drive continuous improvement in data quality, discoverability, and observability
  • Contribute to shaping data infrastructure strategy and tooling to support next-generation health AI systems
  • Enjoy working in a fast-paced, design-driven, product development cycle & embody our Culture and Values

Requirements

  • Bachelor’s or Master’s degree in Mathematics, Statistics, Data Science, Computer Science, Engineering, or related field OR equivalent experience
  • Experience in leveraging complex data, applied data science, developing sophisticated algorithms, executing large-scale A/B testing, and possessing extensive product knowledge
  • Experience with metrics creation, predicting trend analysis, measuring traffic patterns, and assessing experimentation results
  • Experience working with Python for data processing, analytics, or pipeline orchestration
  • Experience applying data science in a scaled consumer products environment
  • Demonstrated interpersonal skills and ability to work closely with cross-functional teams, including product managers, designers, and other engineers, while clearly communicating complex technical concepts to both technical and non-technical stakeholders

Nice to have

  • Experience working in healthcare or digital health data environments
  • Ideally, familiarity with typical health data taxonomies, governance, data privacy, and compliance standards (HIPAA & PHI handling, De-identification standards, etc.)
  • Exposure to large language model (LLM) or generative AI systems, particularly in analytics or model evaluation contexts

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