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Microsoft UK • London, United Kingdom

Data Science Lead, Health AI

Employment type:  Full time
8.4

/10

Transparency ranking
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Job 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.

Company benefits

Wellbeing allowance
Health insurance
Dental coverage
Gym membership
Mental health platform access
Buy or sell annual leave
Shared parental leave
Charity donation scheme
Employee assistance programme
Employee discounts
Volunteer days – 3 days a year
Fertility treatment leave
Open to compressed hours
Open to job sharing
Fertility benefits
Enhanced sick pay
Enhanced sick days
Compassionate leave
Travel insurance
20 days annual leave + bank holidays
Enhanced maternity leave – 26 weeks paid
Enhanced paternity leave – 6 weeks paid
Adoption leave – 24 weeks paid
Childcare credits
Carer’s leave – 4 weeks paid
Cycle to work scheme
Faith rooms
Annual bonus
Annual pay rises
Company car
Hackathons
Open to part-time employees
Pregnancy loss leave
Life insurance
Equity packages
Financial coaching
Relocation packages
Sabbaticals
Enhanced pension match/contribution
Family health insurance
LinkedIn learning license
In house training
Personal development days
Pregnancy support

Working at Microsoft UK

Company employees:

Globally: 228,000

Gender diversity (m:f):

67:33

Hiring in countries

Germany

Netherlands

Spain

United Kingdom

Office Locations

Awards & Accreditations

Family Friendly

Family Friendly

Flexa awards 2025
Career Progression

Career Progression

Flexa awards 2025
Most flexible companies

Most flexible companies

Flexa100 2024

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