Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead the development of data science products and optimise models for impactful business solutions.
- Company: A top-tier data services company making waves in the healthcare sector.
- Benefits: Competitive contract pay, flexible working arrangements, and opportunities for professional growth.
- Why this job: Join a dynamic team and leverage your skills to transform healthcare through data science.
- Qualifications: Degree in a quantitative field and experience in data science, preferably in healthcare.
- Other info: Collaborative environment with a focus on innovation and real-world impact.
The predicted salary is between 48000 - 72000 £ per year.
A leading data services company is searching for a Lead Data Scientist in Greater London. This contract-based role emphasizes developing data science products using Python, R, and SQL. Ideal candidates should possess a degree in a quantitative field and relevant experience, preferably in healthcare.
Responsibilities include:
- Optimizing models for business solutions
- Collaborating with various departments to address data needs
Strong analytical skills and a proactive approach are essential for success in this position.
Lead Data Scientist — Healthcare ML (Contract) employer: Data Freelance Hub
Contact Detail:
Data Freelance Hub Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Scientist — Healthcare ML (Contract)
✨Tip Number 1
Network like a pro! Reach out to professionals in the healthcare data science field on LinkedIn. A friendly message can open doors and lead to referrals that might just land you that Lead Data Scientist role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects in Python, R, and SQL. This is your chance to demonstrate how you've optimised models and solved real-world problems, making you stand out from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your analytical skills. Be ready to discuss specific examples of how you've collaborated with different departments to meet data needs. We want to see your proactive approach in action!
✨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 take the initiative to connect directly with us.
We think you need these skills to ace Lead Data Scientist — Healthcare ML (Contract)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, R, and SQL, especially in healthcare. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data science in healthcare and how your analytical skills can help us optimise our models for business solutions.
Showcase Your Projects: If you've worked on any data science projects, especially in healthcare, make sure to mention them. We love seeing real-world applications of your skills, so include links or descriptions of your work!
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 the role. Plus, it’s super easy!
How to prepare for a job interview at Data Freelance Hub
✨Know Your Tech Stack
Make sure you’re well-versed in Python, R, and SQL. Brush up on your coding skills and be ready to discuss specific projects where you've used these languages, especially in a healthcare context. This will show that you can hit the ground running.
✨Showcase Your Analytical Skills
Prepare to discuss how you've optimised models for business solutions in the past. Bring examples of your work that highlight your analytical prowess and how it led to tangible results. This is your chance to demonstrate your problem-solving abilities.
✨Collaborate Like a Pro
Since the role involves working with various departments, think of examples where you’ve successfully collaborated with others. Be ready to explain how you addressed different data needs and how your proactive approach made a difference.
✨Research the Company
Familiarise yourself with the company’s mission and recent projects, especially those related to healthcare. This will not only help you tailor your answers but also show your genuine interest in the role and the organisation.
