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- Tasks: Create impactful data science solutions for the healthcare sector and engage with clients.
- Company: Leading healthcare consultancy in Greater London with a focus on innovation.
- Benefits: Hybrid working model, competitive salary, and opportunities for professional growth.
- Why this job: Make a real difference in healthcare through data-driven insights and analytics.
- Qualifications: Extensive data science experience, strong Python and SQL skills required.
- Other info: Flexible remote work options and a dynamic team environment.
The predicted salary is between 48000 - 72000 £ per year.
A leading healthcare consultancy in Greater London is seeking a Senior Data Scientist to contribute to impactful data science solutions across the healthcare sector. You will partner with clients to translate complex questions into actionable analytics, ensuring high-quality delivery and client engagement.
The ideal candidate has extensive experience in data science, strong Python and SQL skills, and a background in delivering complex analytical projects. This role supports both in-office and flexible remote working arrangements.
Senior Data Scientist, Health AI & Data Delivery (Hybrid) employer: CF
Contact Detail:
CF Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist, Health AI & Data Delivery (Hybrid)
✨Tip Number 1
Network like a pro! Reach out to professionals in the healthcare consultancy space on LinkedIn. A friendly message can go a long way in getting your foot in the door.
✨Tip Number 2
Showcase your skills! Create a portfolio of your data science projects, especially those related to healthcare. This will help you stand out and demonstrate your expertise in translating complex questions into actionable insights.
✨Tip Number 3
Prepare for interviews by brushing up on your Python and SQL skills. Be ready to discuss how you've delivered complex analytical projects in the past, as this will be key in showcasing your fit for the role.
✨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 AI & Data Delivery (Hybrid)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data science, especially with Python and SQL. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects you've worked on!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about healthcare analytics and how you can contribute to impactful solutions. Let us know what excites you about this role!
Showcase Your Analytical Projects: When detailing your past work, focus on complex analytical projects you've delivered. We love seeing how you've tackled challenges and the impact your work has had, so include specific examples and outcomes.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications and ensures you’re considered for the role without any hiccups!
How to prepare for a job interview at CF
✨Know Your Data Science Stuff
Make sure you brush up on your data science fundamentals, especially in Python and SQL. Be ready to discuss your past projects and how you've tackled complex analytical challenges. This will show them you're not just a theorist but someone who can deliver real results.
✨Understand the Healthcare Sector
Familiarise yourself with current trends and challenges in healthcare analytics. Being able to speak knowledgeably about how data science can impact patient outcomes or operational efficiency will impress your interviewers and demonstrate your genuine interest in the field.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve hypothetical problems or case studies related to healthcare data. Practise articulating your thought process clearly, as they’ll want to see how you approach problem-solving and client engagement in real-world scenarios.
✨Showcase Your Communication Skills
Since this role involves translating complex data into actionable insights for clients, highlight your ability to communicate effectively. Prepare examples of how you've successfully engaged with stakeholders in the past, ensuring they understand your findings and recommendations.
