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- Tasks: Lead analytics and AI projects to innovate in Health and Life Sciences.
- Company: Global data science leader based in London with a focus on health.
- Benefits: Hybrid work model, continuous learning, and collaborative environment.
- Why this job: Make a real impact in health innovation while developing your skills.
- Qualifications: 5+ years in analytics, proficient in Python and SQL, strong communication.
- Other info: Great opportunity for career growth in a dynamic field.
The predicted salary is between 43200 - 72000 £ per year.
A global data science leader located in London is seeking a Senior Data Scientist to manage analytics and AI projects that drive innovation in Health and Life Sciences.
The ideal candidate will have:
- 5+ years of technical analytics experience
- Proficiency in Python and SQL
- Excellent communication skills
This role emphasizes project delivery and building relationships with clients. The position offers a hybrid work model, fostering a collaborative environment and continuous learning opportunities.
Senior Data Scientist, Health Analytics & AI in London employer: Quantium
Contact Detail:
Quantium Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist, Health Analytics & AI in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the health analytics and AI space on LinkedIn. Join relevant groups and engage in discussions to showcase your expertise and passion.
✨Tip Number 2
Prepare for those interviews by brushing up on your Python and SQL skills. We recommend doing some mock interviews with friends or using online platforms to get comfortable with common questions.
✨Tip Number 3
Showcase your project delivery experience! Be ready to discuss specific projects you've managed, focusing on how you built relationships with clients and drove innovation in your previous roles.
✨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 Senior Data Scientist, Health Analytics & AI in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your 5+ years of experience in technical analytics. We want to see your proficiency in Python and SQL, so don’t hold back on showcasing those skills!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain how your past projects align with our focus on health analytics and AI. Let us know how you’ve driven innovation in your previous roles.
Showcase Communication Skills: Since this role involves building relationships with clients, we’d love to see examples of your excellent communication skills. Whether it’s through project summaries or client interactions, make it clear how you connect with others.
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 a collaborative environment!
How to prepare for a job interview at Quantium
✨Know Your Tech Inside Out
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss specific projects where you've used these technologies, as well as any challenges you faced and how you overcame them.
✨Showcase Your Project Management Skills
Since this role focuses on project delivery, prepare examples of past analytics and AI projects you've managed. Highlight your approach to meeting deadlines, managing client expectations, and ensuring successful outcomes.
✨Communicate Clearly and Confidently
Excellent communication is key in this role. Practice explaining complex data concepts in simple terms, as you'll need to build relationships with clients. Consider doing mock interviews with a friend to refine your delivery.
✨Emphasise Continuous Learning
This position offers opportunities for growth, so be prepared to discuss how you stay updated with the latest trends in health analytics and AI. Mention any courses, certifications, or conferences you've attended recently to show your commitment to learning.
