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- Tasks: Develop and optimise machine learning models to drive business value in health.
- Company: Leading global biopharma company focused on innovative health solutions.
- Benefits: Competitive salary, health benefits, and opportunities for professional growth.
- Why this job: Shape innovations that positively impact global health while working with cutting-edge AI.
- Qualifications: Degree in a quantitative field and experience in data or AI roles.
- Other info: Collaborative environment with strong emphasis on analytical and communication skills.
The predicted salary is between 43200 - 72000 £ per year.
A leading global biopharma company seeks a Lead Data Scientist to support their Enterprise AI team. The ideal candidate will develop, implement, and optimize machine learning models using Python and R to drive business value.
Requirements include:
- A degree in a quantitative field
- Experience in data or AI roles
- Strong analytical and communication skills
You will work with various departments to align strategies and present insights. This position helps shape innovations that aim to positively impact global health.
Lead Data Scientist, Enterprise AI for Health Impact employer: Gsk
Contact Detail:
Gsk Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Scientist, Enterprise AI for Health Impact
✨Tip Number 1
Network like a pro! Reach out to professionals in the biopharma and AI sectors 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 projects using Python and R. This will not only demonstrate your expertise but also give you something tangible to discuss during interviews.
✨Tip Number 3
Prepare for those interviews! Research common questions for data scientist roles and practice your responses. Be ready to explain your thought process behind model development and how you've driven business value in past roles.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might be perfect for you. Plus, applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Lead Data Scientist, Enterprise AI for Health Impact
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data and AI roles, especially with Python and R. We want to see how your skills align with the job description, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about using AI for health impact and how your analytical skills can drive business value. Let us know what excites you about this role!
Showcase Your Communication Skills: Since you'll be working with various departments, it's crucial to demonstrate your ability to present insights clearly. Include examples of how you've effectively communicated complex data findings in your application.
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 don’t miss any important updates from our team!
How to prepare for a job interview at Gsk
✨Know Your Tech Inside Out
Make sure you’re well-versed in Python and R, as these are crucial for the role. Brush up on your machine learning models and be ready to discuss how you've implemented them in past projects. Being able to explain your thought process clearly will impress the interviewers.
✨Showcase Your Analytical Skills
Prepare examples that highlight your analytical abilities. Think of specific instances where your insights led to significant business value or improved processes. This will demonstrate not just your skills, but also your impact on previous teams.
✨Communicate Effectively
Since strong communication skills are essential, practice explaining complex data concepts in simple terms. You might need to present insights to non-technical stakeholders, so being able to convey your findings clearly is key.
✨Align with Their Mission
Research the company’s initiatives in global health and think about how your work can contribute to their goals. Showing that you understand and are passionate about their mission will set you apart from other candidates.
