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- Tasks: Lead a data science team to create impactful recommendation systems.
- Company: A leading digital healthcare company in Greater London.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Why this job: Make a real difference in patient experiences and business outcomes.
- Qualifications: 8+ years in data science, strong Python and SQL skills, leadership experience.
- Other info: Join a fast-growing team dedicated to positive patient impact.
The predicted salary is between 48000 - 72000 £ per year.
A leading digital healthcare company in Greater London is seeking a Data Science Lead to build and lead a commercial data science squad. This hands-on role will focus on creating recommendation systems to improve patient experience and business outcomes.
Ideal candidates should have:
- Over 8 years of experience in data science
- Strong skills in Python and SQL
- A proven ability to lead teams
Join a fast-growing team dedicated to making a positive impact on patients' lives.
Data Science Lead — Hybrid UK, Personalised Recommendations in London employer: Eucalyptus
Contact Detail:
Eucalyptus Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science Lead — Hybrid UK, Personalised Recommendations in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects, especially those involving recommendation systems. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your Python and SQL skills. Be ready to discuss your past experiences leading teams and how you've tackled challenges in data science. Practice common interview questions to boost your confidence!
✨Tip Number 4
Don't forget to apply through our website! We’re always on the lookout for passionate individuals who want to make a difference in healthcare. Your next big opportunity could be just a click away!
We think you need these skills to ace Data Science Lead — Hybrid UK, Personalised Recommendations in London
Some tips for your application 🫡
Show Off Your Experience: Make sure to highlight your 8+ years in data science. We want to see how your experience aligns with building recommendation systems and leading teams. Use specific examples to showcase your skills in Python and SQL!
Tailor Your Application: Don’t just send a generic CV! Tailor your application to reflect the job description. Mention how your past projects have improved patient experiences or business outcomes, as that’s what we’re all about at StudySmarter.
Be Authentic: Let your personality shine through! We’re looking for someone who can lead a team and make a positive impact. Share your passion for data science and how you envision contributing to our mission in healthcare.
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 don’t miss out on any important updates from our team!
How to prepare for a job interview at Eucalyptus
✨Know Your Data Science Stuff
Make sure you brush up on your data science fundamentals, especially around recommendation systems. Be ready to discuss your experience with Python and SQL in detail, as well as any projects you've led that showcase your skills.
✨Showcase Your Leadership Skills
Since this role involves leading a team, prepare examples of how you've successfully managed projects or teams in the past. Highlight your ability to motivate others and drive results, as this will be key to impressing the interviewers.
✨Understand the Company’s Mission
Research the digital healthcare company and understand their goals, especially how they aim to improve patient experiences. Tailor your answers to show how your skills and experiences align with their mission and values.
✨Prepare for Technical Questions
Expect some technical questions during the interview. Practice coding challenges in Python and SQL, and be ready to explain your thought process. This will demonstrate not only your technical prowess but also your problem-solving approach.
