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- Tasks: Design and test hypotheses, apply machine learning, and analyse data for strategic decisions.
- Company: Leading healthcare staffing company in Glasgow with a focus on innovation.
- Benefits: Competitive salary, health benefits, and opportunities for professional growth.
- Why this job: Revolutionise care staffing in the UK while working with cutting-edge data science techniques.
- Qualifications: 5+ years of experience in data science, strong skills in Python or R, SQL, and statistical analysis.
- Other info: Collaborative environment with direct reporting to the Chief Technology Officer.
The predicted salary is between 36000 - 60000 £ per year.
A leading staffing company in healthcare is looking for a Mid-Senior level Data Scientist in Glasgow. The successful candidate will design and test hypotheses, apply machine learning, and analyze data to influence strategic decisions. You will report directly to the Chief Technology Officer and collaborate with various teams to improve operational efficiency.
This full-time role is ideal for someone with over 5 years of experience in data science and strong skills in Python or R, SQL, and statistical analysis. Join to help revolutionize care staffing in the UK.
Senior Data Scientist — Healthcare Analytics & Growth in Glasgow employer: Staffscanner
Contact Detail:
Staffscanner Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist — Healthcare Analytics & Growth in Glasgow
✨Tip Number 1
Network like a pro! Reach out to professionals in the healthcare analytics field on LinkedIn. We can leverage our connections to get insights and maybe even a referral for that Senior Data Scientist role.
✨Tip Number 2
Prepare for those interviews! Brush up on your machine learning concepts and be ready to discuss how you've applied them in past projects. We want to show off our skills in Python or R and SQL, so let’s practice some common interview questions together.
✨Tip Number 3
Showcase your work! Create a portfolio of your data science projects, especially those related to healthcare analytics. We can use this to demonstrate our problem-solving skills and how we’ve influenced strategic decisions in previous roles.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. We can tailor our CV and cover letter to highlight our experience and skills that match the job description perfectly.
We think you need these skills to ace Senior Data Scientist — Healthcare Analytics & Growth in Glasgow
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Scientist role. Highlight your experience in healthcare analytics, machine learning, and any relevant projects that showcase your skills in Python or R and SQL.
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 your background aligns with our mission at StudySmarter. Keep it concise but impactful.
Showcase Your Problem-Solving Skills: In your application, don’t just list your skills—demonstrate them! Share specific examples of how you've designed and tested hypotheses or influenced strategic decisions through data analysis.
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 to revolutionise care staffing in the UK!
How to prepare for a job interview at Staffscanner
✨Know Your Data Science Stuff
Make sure you brush up on your data science fundamentals, especially in Python or R and SQL. Be ready to discuss your past projects and how you've applied machine learning techniques to solve real-world problems, particularly in healthcare analytics.
✨Understand the Company’s Mission
Research the staffing company and its role in healthcare. Understand their goals and challenges in care staffing. This will help you tailor your answers to show how your skills can directly contribute to their mission of improving operational efficiency.
✨Prepare for Hypothesis Testing Questions
Since the role involves designing and testing hypotheses, be prepared to explain your approach to hypothesis testing. Think of examples where your analysis influenced strategic decisions and be ready to walk through your thought process.
✨Show Your Collaborative Spirit
As you'll be working closely with various teams, highlight your teamwork skills. Share experiences where you collaborated with others to achieve a common goal, especially in a data-driven context. This will demonstrate that you're not just a tech whiz but also a great team player.
