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- Tasks: Lead advanced analytics solutions in healthcare, tackling complex data challenges.
- Company: Join a transformative healthcare consultancy based in London.
- Benefits: Competitive day rate, hybrid work model, and impactful project experience.
- Why this job: Make a real difference in healthcare through data science and analytics.
- Qualifications: Expertise in Python, SQL, and strong statistical knowledge required.
- Other info: Opportunity to work on high-impact projects with NHS and life sciences.
The predicted salary is between 45000 - 65000 £ per year.
Role: NHS Senior Data Scientist - Contract role
Seniority: Consultant - Senior Manager
Day rate: £250-£500
Project duration(s): 2-6 months, starting asap
Location: Hybrid in London
We’re supporting a healthcare transformation consultancy, headquartered in London. In this role you will work at the intersection of data science, healthcare strategy, and client delivery, partnering with NHS and life sciences organisations on complex, high-impact projects.
You will lead the design and delivery of advanced analytics solutions across population health management, real-world evidence (RWE), disease burden analysis, and predictive modelling to forecast health, care, and medicine sales outcomes.
Tasks:
- Client Delivery & Problem Solving
- Advanced Analytics & Modelling
- Data Engineering & Pipelines
- Software Engineering & Reproducibility
Requirements:
- An independent consultant
- Expert Python and SQL skills for data manipulation, analysis, and modelling
- Solid grasp of software engineering principles
- Strong grounding in statistics (e.g. regression, hypothesis testing, time series, causal inference, etc.)
NHS Senior Data Scientist - Contract Role in London employer: Project Blackbook
Contact Detail:
Project Blackbook Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land NHS Senior Data Scientist - Contract Role in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the healthcare and data science sectors. Attend relevant meetups or webinars to meet potential employers and showcase your expertise.
✨Tip Number 2
Prepare for interviews by brushing up on your technical skills. Be ready to discuss your experience with Python, SQL, and advanced analytics. Practice explaining complex concepts in simple terms to impress your interviewers.
✨Tip Number 3
Showcase your problem-solving skills! Be prepared to tackle case studies or real-world scenarios during interviews. Think about how you can apply your knowledge to improve healthcare outcomes.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way for the consultancy to see your profile directly. Plus, being part of the Project Blackbook community gives you an edge in landing that contract role.
We think you need these skills to ace NHS Senior Data Scientist - Contract Role in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of NHS Senior Data Scientist. Highlight your experience with advanced analytics, Python, and SQL, as well as any relevant projects you've worked on in healthcare or data science.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about this role and how your skills align with the consultancy's needs. Don’t forget to mention your experience in client delivery and problem-solving.
Showcase Your Projects: If you’ve worked on any relevant projects, especially those involving predictive modelling or population health management, make sure to showcase them. This will demonstrate your hands-on experience and ability to deliver impactful results.
Apply Through Our Website: We encourage you to apply directly via the Project Blackbook website. This way, your profile will be viewed by the consultancy, and it’ll streamline the process for both you and us!
How to prepare for a job interview at Project Blackbook
✨Know Your Data Science Stuff
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss how you've used these tools in past projects, especially in healthcare settings. They’ll want to see your expertise in action!
✨Understand the Healthcare Landscape
Familiarise yourself with current trends in healthcare analytics and how they impact NHS operations. Being able to discuss real-world evidence and predictive modelling will show that you’re not just a data whiz but also understand the bigger picture.
✨Prepare for Problem-Solving Questions
Expect to tackle some case studies or problem-solving scenarios during the interview. Practice articulating your thought process clearly, as they’ll be looking for your approach to complex data challenges in healthcare.
✨Showcase Your Communication Skills
As a Senior Data Scientist, you'll need to convey complex data insights to non-technical stakeholders. Prepare examples of how you've successfully communicated findings in the past, and be ready to demonstrate your ability to bridge the gap between data and decision-making.