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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 48000 - 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 in London employer: ZOE
Contact Detail:
ZOE Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Product Data Scientist: Strategy & Growth in London
✨Tip Number 1
Network like a pro! Reach out to folks in the health tech space on LinkedIn or at industry events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your SQL, Python, and statistical modelling projects. This is your chance to demonstrate how you can drive product strategy with real data.
✨Tip Number 3
Prepare for interviews by brushing up on common data science scenarios. Think about how you've used metrics to influence decisions in past roles – we want to hear those success stories!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining our mission to transform health outcomes.
We think you need these skills to ace Lead Product Data Scientist: Strategy & Growth in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with SQL, Python, and statistical modelling in your application. We want to see how you've used these skills to drive product strategy and analytics in your previous roles.
Tailor Your Application: Don’t just send a generic CV! Tailor your application to reflect how your experience aligns with our mission to transform health outcomes. We love seeing candidates who understand our goals and can articulate how they fit into them.
Be Data-Driven: Since this role is all about product analytics, include specific metrics or achievements from your past work. We appreciate candidates who can quantify their impact and demonstrate analytical excellence through real-world examples.
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 Lead Product Data Scientist position. Plus, it shows you’re keen on joining our team!
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 outcomes.
✨Showcase Your Analytical Mindset
During the interview, demonstrate how you approach problem-solving with data. Bring examples of how you've used metrics to drive decisions in previous roles, and be ready to explain your thought process clearly.
✨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 data strategy, team dynamics, or future projects. It shows that you're engaged and thinking critically about how you can fit into their plans.
