Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Senior Data Science Manager.

Medtronic
London
1 year ago
Applications closed

Related Jobs

View all jobs

Senior Data Science Manager

Senior Data Science Manager - Financial Planning and Analysis

Data Science Manager - Platforms and Core Capabilities (Metaheuristics)

Data Science Manager - Platforms and Core Capabilities (Metaheuristics)

Contract Data Science Manager

Contract Data Science Manager

Careers that Change Lives 
Medtronic-Digital Technologies is creating ambitious new products that bring connectivity, real-time guidance, and decision support to the operating room. To support this mission, we are developing compact, high-performance, embedded systems that enable edge computing and connectivity. 

Working closely with other teams across Medtronic, we are creating a connected ecosystem and leveraging the state of the art in computer vision to provide the most comprehensive view of surgery. If you’re interested in using cutting-edge technology to improve the standard of care in surgery on a global scale, this could be the place for you.

A Day in the Life 
As a Data Science Manager, you will be responsible for:

• Managing a team of data analysts and data scientists within the Surgical Operating Unit at Medtronic. 
• Building advanced analytics and leading technical initiatives to shape the data culture within Medtronic. 
• Guiding the team in using statistical and predicative methods to understand customer behaviour and product performance. 
• Ensuring professional development of the team and advancing technical capabilities.

Must Haves 
• MSc or PhD in a Science, Engineering, Technology and Mathematics (STEM) subject 
• A solid grounding in Structured Query Language (SQL) with a good understanding of best practices in software engineering and data engineering
• Practical object-oriented programming experience in Python with knowledge of relevant packages including Pandas, NumPy, SciPy, Matplotlib, Scikit-learn 
• In-depth knowledge of statistical and machine learning models
• Experience in writing clean and maintainable code for collaborative working and using code versioning tools 
• Excellent communicator and experience with stakeholder management, comfortable talking with programmers, marketers, surgeons, business leaders, and everyone in-between 
• Self–starter mindset, ability to proactively identify issues and opportunities for improvement 
Experience of and ability to effectively use cloud native data science tooling
• Extensive experience with Tableau and data build tool (dbt) or similar tooling

Nice to Haves
• Knowledge of data compliance including General Data Protection Regulation (GDPR), Health Insurance Portability and Accountability Act (HIPAA) and Service Organization Control Type 2 (SOC2) compliance policies 
• Previous experience managing teams of data analysts or data scientists
• Experience in integration of highly heterogeneous data streams (IoT data, customer interactions, product metrics). 

We Offer
We offer a competitive salary and benefits package to all our employees:
• Flexible working environment
• Annual Incentive Plan % depending on company results
• Pension scheme and group discount on healthcare insurance 
• Training possibilities via Cornerstone/Skills Lab
• Employee Assistance Program and Recognize! (our global recognition program)

Our Commitment
Our unwavering commitment to inclusion, diversity, and equity (ID&E) means zero barriers to opportunity within Medtronic and a culture where all employees belong, are respected, and feel valued for who they are and the life experiences they contribute. We know equity starts beyond our workplace, and we must play a role in addressing systemic inequities in our communities if we hope to have long-term sustainable impact. Anchored in our Mission, we continue to drive ID&E forward both to enhance the well-being of Medtronic employees and to accelerate innovation that brings our lifesaving technologies to more people in more places around the world. 

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.

AI Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we head into 2026, the AI hiring market in the UK is going through one of its biggest shake-ups yet. Economic conditions are still tight, some employers are cutting headcount, & AI itself is automating whole chunks of work. At the same time, demand for strong AI talent is still rising, salaries for in-demand skills remain high, & new roles are emerging around AI safety, governance & automation. Whether you are an AI job seeker planning your next move or a recruiter trying to build teams in a volatile market, understanding the key AI hiring trends for 2026 will help you stay ahead. This guide breaks down the most important trends to watch, what they mean in practice, & how to adapt – with practical actions for both candidates & hiring teams.

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.