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 team environment with opportunities for growth.
- 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, and 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 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 have a meaningful impact on over 1 million customers. Join us to be part of a dynamic team that values analytical excellence and empowers you to drive significant change in the fintech landscape.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Product Data Scientist — Experimentation & Growth
✨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 about the company culture and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your data analytics projects, especially those involving SQL and Python. This will help us demonstrate our expertise and make a lasting impression.
✨Tip Number 3
Practice makes perfect! Get ready for those interviews by brushing up on common data science questions and case studies. We want to be able to confidently discuss how we can drive product analytics for the Zable app.
✨Tip Number 4
Apply through our website! It’s the best way to ensure our application gets noticed. Plus, we can tailor our submission to highlight how our experience aligns with Lendable's needs.
We think you need these skills to ace Lead Product Data Scientist — Experimentation & Growth
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 candidates who can demonstrate their analytical prowess and its impact on user experience.
Tailor Your Application:Don’t just send a generic CV! Tailor your application to reflect how your experience aligns with our needs at Lendable. We appreciate candidates who take the time to connect their background with 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!
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. Lendable will want to see how you can leverage data analytics to enhance user experience.
✨Showcase Your Impact
Prepare examples of how your insights have shaped product strategies in the past. Use metrics to quantify your impact, like how your analysis led to a certain percentage increase in user engagement or retention. This will demonstrate your ability to influence product decisions effectively.
✨Understand the Zable App
Familiarise yourself with the Zable app and its user base. Think about potential areas for growth and improvement based on your understanding of product analytics. This shows that you're not just a data whiz but also genuinely interested in the product and its users.
✨Emphasise Team Collaboration
Since this role involves collaboration, be prepared to discuss how you've worked with cross-functional teams in the past. Share examples of how you’ve communicated complex data insights to non-technical stakeholders, as this will highlight your ability to work well within a team.
