At a Glance
- Tasks: Lead data analytics to enhance surgical technologies and improve patient care.
- Company: Join Medtronic, a leader in innovative healthcare solutions.
- Benefits: Enjoy flexible working, competitive salary, and comprehensive benefits.
- Other info: Inclusive culture focused on diversity and career growth.
- Why this job: Make a global impact on surgery with cutting-edge technology.
- Qualifications: MSc or PhD in STEM, strong SQL and Python skills required.
The predicted salary is between 60000 - 80000 £ 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.
Data Science Manager employer: Medtronic plc
Medtronic-Digital Technologies is an exceptional employer, offering a dynamic work environment where innovation meets purpose. With a strong focus on employee growth through training opportunities and a commitment to inclusion and diversity, we empower our team to leverage cutting-edge technology in improving surgical care globally. Our flexible working arrangements and competitive benefits package ensure that every employee feels valued and supported in their professional journey.
StudySmarter Expert Advice🤫
We think this is how you could land Data Science Manager
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or conferences related to data science and healthcare tech. You never know who might have a lead on your dream job at Medtronic!
✨Show Off Your Skills
Create a portfolio showcasing your projects, especially those involving Python, SQL, and machine learning. Share it on platforms like GitHub or your personal website. This is your chance to demonstrate your expertise and make a lasting impression!
✨Ace the Interview
Prepare for interviews by practising common data science questions and scenarios. Be ready to discuss your experience with tools like Tableau and cloud-native data science tooling. Remember, confidence is key, so show them you’re the right fit for their team!
✨Apply Through Our Website
Don’t forget to apply directly through the Medtronic careers page! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to reach out and express their interest in our mission.
We think you need these skills to ace Data Science Manager
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Science Manager role. Highlight your experience with SQL, Python, and any relevant projects that showcase your skills in advanced analytics and machine learning. We want to see how you can bring value to our team!
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 past work that align with our mission at Medtronic. Let us know why you're the perfect fit!
Showcase Your Communication Skills:As a Data Science Manager, you'll be interacting with various stakeholders. Make sure to highlight your communication skills in your application. We love candidates who can bridge the gap between technical and non-technical teams, so don’t hold back on this!
Apply Through Our Website:We encourage you to apply 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 applications come directly from our site!
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 instances where you’ve improved processes or delivered insights through advanced analytics, particularly in a collaborative environment.
✨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 managed relationships with different teams.
✨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.
