At a Glance
- Tasks: Deliver advanced analytics and develop data products for surgical technologies.
- Company: Join Medtronic, a leader in innovative healthcare technology.
- Benefits: Enjoy flexible working, competitive salary, and comprehensive benefits.
- Other info: Be part of a diverse team committed to inclusion and equity.
- Why this job: Use cutting-edge tech to revolutionise surgery and improve patient care globally.
- Qualifications: MSc or PhD in STEM, strong SQL and Python skills required.
The predicted salary is between 70000 - 90000 £ per year.
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 Principal Data Science Engineer, you will be responsible for:
- Delivering advanced analytics within the Surgical Operating Unit at Medtronic, focusing on Advanced Surgical Technologies such as electrosurgical generators and instruments.
- Developing and productionizing data products, delivering insights to our customers.
- Using statistical and predictive methods on signal processing data to understand customer behavior and product performance.
- Helping guide the design of our data infrastructure and models.
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, Pytorch.
- In-depth knowledge of statistical and machine learning models as well as experience with end-to-end delivery lifecycles.
- Experience in writing clean and maintainable code for collaborative working and using code versioning tools.
- Excellent communicator and experience with stakeholder management - You are comfortable talking with programmers, marketers, surgeons, business leaders, and everyone in-between.
- Self–starter mindset – you can 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
- Experience in using machine learning and AI tools for signal processing.
- 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.
- 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.
Principal Data Science Engineer in London employer: Medtronic plc
Medtronic-Digital Technologies is an exceptional employer, offering a dynamic and inclusive work culture that fosters innovation and collaboration. As a Principal Data Science Engineer, you will have access to cutting-edge technology and significant opportunities for professional growth, all while contributing to meaningful advancements in surgical care on a global scale. With a flexible working environment, competitive benefits, and a strong commitment to diversity and equity, Medtronic ensures that every employee feels valued and empowered to make a difference.
StudySmarter Expert Advice🤫
We think this is how you could land Principal Data Science Engineer in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at Medtronic. Use LinkedIn to connect and engage with them. A friendly chat can sometimes lead to opportunities that aren’t even advertised!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects, especially those involving machine learning or signal processing. This gives you a chance to demonstrate your expertise beyond just your CV.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss your experience with SQL, Python, and cloud-native tools. Practice explaining complex concepts in simple terms – it’ll impress the interviewers!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining the Medtronic team and contributing to their mission.
We think you need these skills to ace Principal Data Science Engineer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Principal Data Science Engineer role. Highlight your expertise in SQL, Python, and any relevant data science projects you've worked on. We want to see how you can contribute to our mission!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to tell us why you're passionate about using technology to improve surgical care. Share specific examples of your work in data science and how it relates to the role. We love a good story!
Show Off Your Communication Skills:As a Principal Data Science Engineer, you'll be interacting with various stakeholders. Make sure to demonstrate your communication skills in your application. Whether it's through your CV or cover letter, let us know how you can bridge the gap between tech and non-tech folks!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re keen on joining our team at Medtronic!
How to prepare for a job interview at Medtronic plc
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, especially SQL and Python. Brush up on your knowledge of data engineering best practices and be ready to discuss how you've used these tools in past projects.
✨Showcase Your Problem-Solving Skills
Prepare examples that highlight your ability to identify issues and implement solutions. Think about specific challenges you've faced in data science and how you overcame them, particularly in relation to signal processing or machine learning.
✨Communicate Like a Pro
Since you'll be interacting with a diverse range of stakeholders, practice explaining complex technical concepts in simple terms. Be ready to demonstrate your communication skills by discussing how you've collaborated with different teams in the past.
✨Demonstrate Your Self-Starter Attitude
Come prepared with ideas on how you can contribute to Medtronic’s mission. Show that you’re proactive by discussing any initiatives you’ve taken in previous roles to improve processes or products, especially in the context of data science.
