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- Tasks: Develop AI and ML models to tackle life sciences challenges.
- Company: Global consulting firm with a focus on innovation.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Why this job: Join a dynamic team and make a real difference in healthcare through technology.
- Qualifications: Master’s or PhD in relevant fields and strong programming skills in Python.
- Other info: Collaborative environment with diverse teams driving cutting-edge solutions.
The predicted salary is between 36000 - 60000 £ per year.
A global consulting firm is seeking a Data Scientist in their London office to develop AI and machine learning models for life sciences. The ideal candidate will have a Master’s or PhD degree and over 2 years of experience in statistics or mathematics.
You will collaborate with multi-disciplinary teams, driving innovation in AI for therapeutic and materials challenges. The role requires strong programming skills, particularly in Python, and proficiency with relevant analytics libraries, ensuring impactful client solutions and insights.
Life Sciences Data Scientist, AI & ML for Therapeutics employer: Mckinsey & Company, Inc.
Contact Detail:
Mckinsey & Company, Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Life Sciences Data Scientist, AI & ML for Therapeutics
✨Tip Number 1
Network like a pro! Reach out to professionals in the life sciences and AI fields on LinkedIn. Join relevant groups and participate in discussions to get your name out there and show off your expertise.
✨Tip Number 2
Prepare for those interviews! Brush up on your Python skills and be ready to discuss your experience with machine learning models. We recommend practising common data science interview questions to boost your confidence.
✨Tip Number 3
Showcase your projects! Create a portfolio that highlights your work in AI and machine learning, especially any projects related to therapeutics. This will give potential employers a clear view of what you can bring to the table.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Life Sciences Data Scientist, AI & ML for Therapeutics
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in statistics and mathematics, especially if you’ve got a Master’s or PhD. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Showcase Your Programming Skills: Since strong programming skills in Python are a must, include specific examples of your work with Python and any analytics libraries. We love seeing real-world applications of your coding prowess, so share those impactful projects!
Highlight Collaboration Experience: This role involves working with multi-disciplinary teams, so let us know about your teamwork experiences. Share examples where you’ve collaborated on innovative solutions, especially in AI for therapeutics or materials challenges.
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. Don’t miss out!
How to prepare for a job interview at Mckinsey & Company, Inc.
✨Know Your Stuff
Make sure you brush up on your statistics and mathematics knowledge. Be ready to discuss how you've applied these skills in real-world scenarios, especially in AI and machine learning projects related to life sciences.
✨Showcase Your Programming Skills
Since strong programming skills in Python are a must, prepare to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so practice coding challenges and be familiar with relevant analytics libraries.
✨Collaborate Like a Pro
This role involves working with multi-disciplinary teams, so be prepared to talk about your experience collaborating with others. Share examples of how you’ve driven innovation in past projects and how you handle differing opinions within a team.
✨Understand the Company’s Vision
Research the consulting firm and their approach to AI in therapeutics. Being able to articulate how your skills align with their goals will show that you're genuinely interested and invested in the role.
