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 innovation.
- 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 employer: Medtronic plc
Medtronic-Digital Technologies is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the field of advanced surgical technologies. With a strong commitment to employee growth through training opportunities and a flexible working environment, Medtronic ensures that its team members are equipped to make a meaningful impact on global healthcare. The company's dedication to inclusion, diversity, and equity creates a supportive atmosphere where every employee feels valued and empowered to contribute their unique perspectives.
StudySmarter Expert Advice🤫
We think this is how you could land Principal Data Science Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with Medtronic employees on LinkedIn. A personal touch can make all the difference when it comes to landing that interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects, especially those involving Python and machine learning. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for the interview by brushing up on your technical knowledge and soft skills. Be ready to discuss your experience with SQL, cloud tools, and stakeholder management. Practice makes perfect!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Principal Data Science Engineer
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 explain why you're passionate about using technology to improve surgical care. Share specific examples of your work in data analytics and how it relates to the role. We love seeing your personality come through!
Showcase Your Communication Skills:As a Principal Data Science Engineer, you'll be interacting with various stakeholders. Make sure to highlight your communication skills in your application. Whether it's through your CV or cover letter, let us know how you've effectively collaborated with different teams in the past.
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing candidates who take the initiative to connect with us directly!
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 self-starter mindset and ability to identify issues proactively. Think of specific instances where you’ve improved processes or solved complex problems using data science techniques.
✨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 and how you’ve successfully collaborated with different teams in the past.
✨Understand Compliance and Ethics
Familiarise yourself with data compliance regulations like GDPR and HIPAA. Be prepared to discuss how you ensure data integrity and security in your work, as this is crucial in the healthcare sector.
