Lead Product Data Scientist - Remote Mon & Fri, Equity
Lead Product Data Scientist - Remote Mon & Fri, Equity

Lead Product Data Scientist - Remote Mon & Fri, Equity

Full-Time 70000 - 90000 £ / year (est.) No home office possible
Lendable Ltd

At a Glance

  • Tasks: Drive product analytics and lead A/B testing for a multi-product app.
  • Company: Prominent fintech company in London with a focus on innovation.
  • Benefits: Flexible work options, comprehensive benefits, and equity opportunities.
  • Why this job: Shape product strategy with impactful insights and cutting-edge data analysis.
  • Qualifications: Strong data analytics background with SQL and Python proficiency.
  • Other info: Join a dynamic team and make a real difference in fintech.

The predicted salary is between 70000 - 90000 £ per year.

A prominent fintech company in London is seeking an experienced Lead Product Data Scientist to drive product analytics for their multi-product app, Zable. In this high-impact role, you will analyze user behavior, lead the A/B testing process, and establish best practices to ensure impactful insights that shape product strategy.

The ideal candidate has a strong data analytics background, proficiency in SQL and Python, and excellent communication skills in a cross-functional team environment. The role includes flexible work options and comprehensive benefits.

Lead Product Data Scientist - Remote Mon & Fri, Equity employer: Lendable Ltd

Join a leading fintech company in London that champions innovation and collaboration, offering a dynamic work culture where your insights directly influence product strategy. With flexible remote working options on Mondays and Fridays, alongside comprehensive benefits and opportunities for professional growth, this role as a Lead Product Data Scientist promises a rewarding career path in a thriving industry.
Lendable Ltd

Contact Detail:

Lendable Ltd Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Lead Product Data Scientist - Remote Mon & Fri, Equity

✨Tip Number 1

Network like a pro! Reach out to people in the fintech space, especially those who work at companies you're interested in. A friendly chat can open doors and give you insider info on job openings.

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your data analytics projects, especially any A/B testing you've led. This will help you stand out and demonstrate your expertise in SQL and Python.

✨Tip Number 3

Prepare for interviews by brushing up on your communication skills. Practice explaining complex data insights in simple terms, as you'll need to collaborate with cross-functional teams.

✨Tip Number 4

Don't forget to apply through our website! We have loads of opportunities that might be perfect for you, and applying directly can sometimes give you an edge over other candidates.

We think you need these skills to ace Lead Product Data Scientist - Remote Mon & Fri, Equity

Data Analytics
A/B Testing
SQL
Python
Communication Skills
Cross-Functional Collaboration
Product Strategy Development
User Behaviour Analysis

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your experience in product analytics and data science. We want to see how your skills in SQL and Python can drive insights for Zable, so don’t hold back on showcasing relevant projects!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for the Lead Product Data Scientist role. Share specific examples of how you've led A/B testing processes and influenced product strategy in the past.

Showcase Your Communication Skills: Since this role involves working in a cross-functional team, we want to see how you communicate complex data insights. Include examples of how you've effectively collaborated with different teams to drive product decisions.

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 out on any important updates about the process!

How to prepare for a job interview at Lendable Ltd

✨Know Your Data Tools

Make sure you brush up on your SQL and Python skills before the interview. Be ready to discuss how you've used these tools in past projects, especially in relation to product analytics and A/B testing.

✨Showcase Your Analytical Mindset

Prepare to share specific examples of how you've analysed user behaviour in previous roles. Think about the insights you derived and how they influenced product strategy. This will demonstrate your ability to drive impactful decisions.

✨Communicate Clearly

Since this role involves working with cross-functional teams, practice explaining complex data concepts in simple terms. You want to show that you can bridge the gap between technical and non-technical stakeholders.

✨Understand the Company and Product

Research the fintech company and their app, Zable. Familiarise yourself with their products and think about how your skills can contribute to their goals. This shows genuine interest and helps you tailor your responses during the interview.

Lead Product Data Scientist - Remote Mon & Fri, Equity
Lendable Ltd

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