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- Tasks: Lead product analytics and drive strategy using data-driven insights.
- Company: Innovative health tech company focused on transforming health outcomes.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Make a real impact in health technology with advanced data science techniques.
- Qualifications: 7+ years of experience in data science, strong SQL, Python, and statistical skills.
- Other info: Join a forward-thinking team dedicated to improving health outcomes.
The predicted salary is between 43200 - 72000 £ per year.
A forward-thinking health technology company based in the United Kingdom is seeking a Lead Product Data Scientist. In this role, you will spearhead product analytics, drive product strategy through metrics, and elevate analytical excellence across the organization.
With over 7 years of experience required, the ideal candidate will have strong skills in SQL, Python, and statistical modeling.
Join us to transform health outcomes using advanced data science techniques and help shape the future of health technology.
Lead Product Data Scientist: Strategy & Growth employer: ZOE
Contact Detail:
ZOE Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Product Data Scientist: Strategy & Growth
✨Tip Number 1
Network like a pro! Reach out to professionals in the health tech space on LinkedIn or at industry events. We can’t stress enough how valuable personal connections can be in landing that Lead Product Data Scientist role.
✨Tip Number 2
Showcase your skills! Create a portfolio that highlights your SQL, Python, and statistical modelling projects. We want to see your analytical excellence in action, so make it easy for potential employers to see what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on product analytics and strategy discussions. We recommend practising common data science interview questions and being ready to discuss how you've driven product strategy through metrics in your past roles.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. We’re excited to find someone who can help us transform health outcomes, so don’t hesitate to put yourself out there!
We think you need these skills to ace Lead Product Data Scientist: Strategy & Growth
Some tips for your application 🫡
Showcase Your Experience: Make sure to highlight your 7+ years of experience in your application. We want to see how your background aligns with the role, especially your skills in SQL, Python, and statistical modelling.
Be Data-Driven: Since this is a data-centric role, use metrics and examples to demonstrate your impact in previous positions. We love seeing how you've driven product strategy through analytics!
Tailor Your Application: Don’t just send a generic CV! Tailor your application to reflect the specific requirements of the Lead Product Data Scientist role. We appreciate when candidates take the time to connect their skills to our mission.
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 in health technology!
How to prepare for a job interview at ZOE
✨Know Your Data Science Inside Out
Make sure you brush up on your SQL, Python, and statistical modelling skills. Be prepared to discuss specific projects where you've applied these skills, as well as the impact your work had on product strategy and growth.
✨Showcase Your Analytical Mindset
During the interview, highlight how you've used data to drive decisions in previous roles. Prepare examples that demonstrate your ability to elevate analytical excellence and how your insights have transformed health outcomes.
✨Understand the Company’s Vision
Research the health technology company thoroughly. Understand their products, mission, and recent developments. This will help you align your answers with their goals and show that you're genuinely interested in contributing to their success.
✨Prepare Thoughtful Questions
Have a list of insightful questions ready to ask at the end of the interview. This could include inquiries about their current data initiatives or how they envision the role of a Lead Product Data Scientist evolving within the company. It shows your enthusiasm and strategic thinking.
