At a Glance
- Tasks: Lead a team of data scientists to drive analytics for our innovative Chat product.
- Company: Join Cleo, a fast-growing fintech company in the heart of London.
- Benefits: Enjoy a competitive salary, hybrid working model, and great perks.
- Other info: Be part of a dynamic team with opportunities for growth and innovation.
- Why this job: Make a real impact by guiding strategic decisions with data-driven insights.
- Qualifications: 7+ years in product data science with strong SQL and Python skills.
The predicted salary is between 80000 - 105000 € per year.
Cleo, a fast-growing fintech company in London, is seeking a Head of Data Science, Product Analytics. This pivotal role involves leading a team of data scientists to own analytics and experimentation for the Chat product. You will define success metrics, guide strategic decisions, and conduct high-impact analysis.
Candidates should have 7+ years in product data science and strong SQL and Python skills. Cleo offers a competitive salary package with numerous benefits, including a hybrid working model.
Head of Data Science & Product Analytics employer: cleo
Cleo is an exceptional employer that fosters a dynamic and innovative work culture in the heart of London. With a strong emphasis on employee growth, we provide ample opportunities for professional development and collaboration within a talented team. Our competitive salary package, combined with a hybrid working model, ensures that our employees enjoy a healthy work-life balance while contributing to meaningful projects in the fintech space.
StudySmarter Expert Advice🤫
We think this is how you could land Head of Data Science & Product Analytics
✨Tip Number 1
Network like a pro! Reach out to people in the fintech space, especially those at Cleo or similar companies. A friendly chat can open doors and give you insights that might just land you an interview.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your best data science projects, especially those involving product analytics. This will help us see your expertise in action and how you can contribute to our team.
✨Tip Number 3
Ace the interview by preparing for common questions related to data science and product analytics. Think about how you would define success metrics and guide strategic decisions, as these are key aspects of the role.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in joining our team at Cleo.
We think you need these skills to ace Head of Data Science & Product Analytics
Some tips for your application 🫡
Show Off Your Experience:Make sure to highlight your 7+ years in product data science. We want to see how your background aligns with the role, so don’t hold back on showcasing your relevant projects and achievements!
Get Technical:Since strong SQL and Python skills are a must, include specific examples of how you've used these tools in your previous roles. We love seeing practical applications of your technical expertise!
Define Success Metrics:In your application, mention how you’ve defined success metrics in past projects. This shows us that you understand the importance of analytics and can guide strategic decisions effectively.
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 at Cleo!
How to prepare for a job interview at cleo
✨Know Your Data Science Stuff
Make sure you brush up on your data science fundamentals, especially in SQL and Python. Be ready to discuss your past projects and how you've used these skills to drive product decisions. We recommend preparing specific examples that showcase your analytical thinking and problem-solving abilities.
✨Understand Cleo's Products
Familiarise yourself with Cleo's Chat product and its analytics needs. Research the company’s mission and values, and think about how your experience aligns with their goals. This will help you demonstrate your genuine interest in the role and how you can contribute to their success.
✨Prepare for Scenario Questions
Expect scenario-based questions where you'll need to outline how you'd approach defining success metrics or conducting high-impact analysis. We suggest practising your thought process out loud, as this will show your strategic thinking and leadership capabilities, which are crucial for this role.
✨Showcase Your Leadership Skills
As a Head of Data Science, you'll be leading a team, so it's important to highlight your leadership experience. Think about times when you've guided a team through challenges or fostered collaboration. We encourage you to share stories that illustrate your ability to inspire and mentor others in a fast-paced environment.
