Engineer the Quantum RevolutionYour expertise can help us shape the future of quantum computing at Oxford Ionics.

View Open Roles

Data Science Lead

Microsoft
London
1 month ago
Applications closed

Related Jobs

View all jobs

Data Science Lead

Data Science Lead

Data Science Lead

Data Science Lead, Research Analytics

Senior Data Scientist

Lead Data Scientist

Overview

At Microsoft AI, 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.
TheData Science Lead - Health AIrole is an integral part of the Microsoft Health AI team; and will act as a data generalist bringing visibility to our product efforts. We’re looking for someone who thinks deeply about measurement and human-AI interactions.
Across all our hires, it’s important for colleagues to share our enthusiasm about the role of technology and AI in health and healthcare, but also appreciate the challenges and risks of delivering effective solutions in a complex and safety critical space. By design, we will remain a lean team (albeit within a much larger organization), and as such you will need to be action orientated, self-sufficient and actively help to cultivate and promote a positive team culture.
Microsoft’s wider mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
ResponsibilitiesDevelop metrics for the healthcare category of Copilot usage and quality.Drive product insights, opportunity analysis, and track metrics to support efforts across Microsoft Copilot.Drive new ways of instrumentation and measurement approach to evaluate new feature performance through experimentation.Enable A|B experimentation for new features.Hands-on analysis of large volumes of telemetry data using various algorithms and tools including your own.Articulate insights, storyboard with data and communicate to influence leadership and other key decision makers.Find a path to get things done despite roadblocks to get your work into the hands of users quickly and iteratively.Enjoy working in a fast-paced, design-driven, product development cycle.Embody our and . 
Required Qualifications:Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)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.Proficiency in Python
Preferred Qualifications:Experience working on product analytics to drive product improvementsExperience with prompt engineering and using LLMs. In particular, experience thinking about analytics in the context of conversations, and multi-turn unstructured data.Experience with Healthcare data or data taxonomiesDedication to writing clean, maintainable, and well-documented code with a focus on application quality, performance, and security.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 stakeholdersPassion for learning new technologies and staying up to date with industry trends, best practices, and emerging technologies in web development and AI.Ability to work in a fast-paced environment, manage multiple priorities, experiment quickly, and adapt to changing requirements and deadlines.Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.Industry leading healthcareEducational resourcesDiscounts on products and servicesSavings and investmentsMaternity and paternity leaveGenerous time awayGiving programsOpportunities to network and connect

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

The Future of Artificial Intelligence Jobs: Careers That Don’t Exist Yet

Artificial Intelligence (AI) has already transformed the global job market. From data scientists and machine learning engineers to AI ethicists and prompt engineers, many roles that seemed futuristic only a decade ago are now mainstream. Yet this is only the beginning. AI is progressing faster than any other technology in history, and the UK is at the forefront of its adoption, with government strategies, academic research, and private investment all accelerating growth. As generative AI, autonomous systems, robotics, and cognitive computing expand, completely new careers will emerge—jobs that don’t yet exist, but which will soon become central to how organisations, societies, and economies function. This article explores what those roles might look like, why they will matter, and how today’s professionals can prepare for careers that are still being invented.

Seasonal Hiring Peaks for AI Jobs: The Best Months to Apply & Why

The artificial intelligence sector has transformed from a niche technology field into one of the UK's most dynamic employment markets. With AI roles ranging from machine learning engineers to data scientists and AI product managers commanding average salaries between £45,000 and £120,000, timing your job search strategically can significantly impact your success rate. Understanding when companies typically hire for AI positions—and why these patterns exist—can give you a competitive edge in landing your dream role. Unlike traditional industries with predictable seasonal fluctuations, the AI job market follows distinct patterns driven by corporate budgets, educational cycles, and technological project timelines. This comprehensive guide explores the optimal months to apply for AI jobs in the UK, helping you align your career moves with industry hiring peaks.

Breaking Into Generative AI: A Beginner's Complete Guide to Starting Your Career in 2025/26

Are you fascinated by AI tools like ChatGPT, DALL-E, or Midjourney but unsure how to turn that interest into a career? You're not alone. The generative AI revolution has created thousands of new job opportunities across the UK, and many don't require a computer science degree or years of coding experience. Whether you're a recent graduate, considering a career change, or simply curious about this exciting field, this comprehensive guide will show you exactly how to break into generative AI jobs.