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- Tasks: Develop machine learning models to boost supply chain efficiency and inform sourcing strategies.
- Company: Leading pharmaceutical services firm based in London.
- Benefits: Competitive salary, health benefits, and opportunities for professional growth.
- Why this job: Make a real impact in the pharma industry with your data science skills.
- Qualifications: Experience in data science and proficiency in Python or R required.
- Other info: Join a dynamic team focused on strategic analytics initiatives.
The predicted salary is between 43200 - 72000 £ per year.
A leading pharmaceutical services firm is seeking a Data Scientist in London. The role involves developing machine learning models and data-driven solutions to enhance supply chain efficiency and inform sourcing strategies.
Candidates should have substantial experience in data science and proficiency in Python or R, along with knowledge of statistical methodologies. The ideal candidate is able to communicate complex insights clearly and will contribute to strategic analytics initiatives.
Senior Data Scientist, Pharma Analytics & Sourcing employer: McKesson
Contact Detail:
McKesson Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist, Pharma Analytics & Sourcing
✨Tip Number 1
Network like a pro! Reach out to professionals in the pharma analytics space on LinkedIn. Join relevant groups and engage in discussions to get your name out there and learn about potential job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning models and data-driven solutions. This will not only demonstrate your expertise but also give you something tangible to discuss during interviews.
✨Tip Number 3
Practice your communication skills! Since the role requires conveying complex insights, try explaining your projects to friends or family. This will help you articulate your thoughts clearly when it matters most.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented individuals like you. Plus, it’s a great way to ensure your application gets noticed by the right people.
We think you need these skills to ace Senior Data Scientist, Pharma Analytics & Sourcing
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data science, especially with machine learning models. We want to see how your skills in Python or R can contribute to our supply chain efficiency.
Showcase Your Projects: Include specific examples of projects where you've used statistical methodologies to solve real-world problems. This helps us understand your practical experience and how you can inform sourcing strategies.
Communicate Clearly: Since the role involves conveying complex insights, make sure your application reflects your ability to communicate effectively. Use clear language and avoid jargon where possible, so we can see your thought process.
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 this exciting opportunity in London!
How to prepare for a job interview at McKesson
✨Know Your Data Science Stuff
Make sure you brush up on your machine learning models and statistical methodologies. Be ready to discuss specific projects where you've applied these skills, especially in the context of supply chain efficiency or sourcing strategies.
✨Show Off Your Coding Skills
Since proficiency in Python or R is key, prepare to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so practice coding challenges related to data analysis and model development.
✨Communicate Like a Pro
You’ll need to explain complex insights clearly, so practice articulating your thought process. Use examples from your past work to show how you’ve effectively communicated data-driven solutions to non-technical stakeholders.
✨Align with Their Goals
Research the company’s strategic analytics initiatives and think about how your experience aligns with their goals. Be prepared to discuss how you can contribute to their projects and enhance their data-driven decision-making.
