Data Science Lead, Health AI at Microsoft

London, England, United Kingdom -

Full Time

Start Date

Immediate

Expiry Date

10 Apr, 26

Salary

0.0

Posted On

10 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, Health AI, Data Pipelines, Metrics Development, A/B Testing, Analytics, Python, User Engagement, Data Quality, Product Insights, Collaboration, Healthcare Data, Generative AI, Trend Analysis, Model Evaluation, Data Governance

Industry

Software Development

Description

Overview 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. Role 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. Key Responsibilities 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 Required Qualifications 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 Preferred Qualifications 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 This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled. Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Responsibilities

The Data Science Lead will develop metrics for healthcare usage and quality, drive product insights, and design data pipelines for health AI experiences. This role involves collaborating with product and clinical teams to ensure data quality and support health AI systems.