At a Glance
- Tasks: Drive product analytics for our Zable app and uncover insights to shape strategy.
- Company: Join Lendable, a dynamic company impacting over 1 million customers.
- Benefits: Enjoy a hybrid role with flexibility and a focus on analytical excellence.
- Other info: Collaborative environment with opportunities for growth and influence.
- Why this job: Make a real impact on user experience and product decisions.
- Qualifications: 5+ years in data analytics, strong SQL and Python skills required.
The predicted salary is between 60000 - 80000 £ per year.
Lendable is seeking an experienced Lead Product Data Scientist to drive product analytics for our Zable app, used by over 1 million customers. You will play a critical role in uncovering insights that shape product strategy and enhance user experience.
The ideal candidate has:
- 5+ years in data analytics
- Excellent skills in SQL and Python
- A strong ability to influence product decisions
This hybrid role offers flexibility with a commitment to analytical excellence and team collaboration.
Lead Product Data Scientist — Experimentation & Growth in London employer: Lendable
Lendable is an exceptional employer that fosters a culture of innovation and collaboration, making it an ideal place for a Lead Product Data Scientist. With a commitment to employee growth, we offer flexible hybrid working arrangements and opportunities to influence product strategy for our widely-used Zable app, ensuring that your contributions directly impact over 1 million customers. Join us to be part of a dynamic team that values analytical excellence and empowers you to thrive in your career.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Product Data Scientist — Experimentation & Growth in London
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Lendable on LinkedIn. A friendly chat can give us insider info and maybe even a referral, which can really boost our chances.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your data analytics projects, especially those involving SQL and Python. We want to demonstrate how our experience aligns with the role and how we can drive product strategy.
✨Tip Number 3
Practice makes perfect! Get ready for interviews by rehearsing common data science questions and case studies. We should also be prepared to discuss how we've influenced product decisions in the past.
✨Tip Number 4
Apply through our website! It’s the best way to ensure our application gets seen. Plus, we can tailor our application to highlight our fit for the Lead Product Data Scientist role specifically.
We think you need these skills to ace Lead Product Data Scientist — Experimentation & Growth in London
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your experience with SQL and Python in your application. We want to see how you've used these skills in real-world scenarios, especially in product analytics.
Be Data-Driven:When discussing your past projects, focus on the insights you uncovered and how they influenced product decisions. We love seeing how data can drive strategy, so share those success stories!
Tailor Your Application:Don’t just send a generic CV and cover letter. We appreciate when candidates take the time to tailor their applications to our Zable app and the role. Show us why you're the perfect fit!
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 any important updates from our team.
How to prepare for a job interview at Lendable
✨Know Your Data Tools
Make sure you brush up on your SQL and Python skills before the interview. Be ready to discuss specific projects where you've used these tools to drive product decisions. This will show that you not only know the theory but can apply it in real-world scenarios.
✨Understand the Product
Familiarise yourself with Lendable's Zable app and its user base. Think about how data analytics can enhance user experience and product strategy. Being able to discuss insights or suggestions based on your understanding of the app will impress the interviewers.
✨Prepare for Scenario Questions
Expect questions that ask you to solve hypothetical problems or analyse data sets. Practice articulating your thought process clearly, as this will demonstrate your analytical thinking and ability to influence product decisions effectively.
✨Showcase Team Collaboration
Since this role emphasises team collaboration, be prepared to share examples of how you've worked with cross-functional teams in the past. Highlight your communication skills and how you’ve influenced others with your data-driven insights.
