Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead data science projects and strategise for non-lending products like Car Insurance.
- Company: Lendable, a forward-thinking company focused on innovative financial solutions.
- Benefits: Flexible working hours, health coverage, and a vibrant work culture.
- Other info: Join a dynamic environment with opportunities for growth and innovation.
- Why this job: Make a real impact in product expansion while collaborating with top professionals.
- Qualifications: Strong communication, project management experience, and expertise in Python and SQL.
The predicted salary is between 60000 - 80000 £ per year.
Lendable is looking for a Data Scientist to own and strategize data science for non-lending products. You will collaborate with managing directors and lead various data science projects, focusing on product expansion in areas like Car Insurance.
Ideal candidates should have:
- Strong communication skills
- A successful project management track record
- Technical expertise in Python and SQL
The role offers flexible working, health coverage, and a dynamic work environment.
Strategic Data Scientist & Roadmap Lead in London employer: Lendable
Contact Detail:
Lendable Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Strategic Data Scientist & Roadmap Lead in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at Lendable. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! If you've got a portfolio of projects or relevant work, make sure to highlight them in conversations. Demonstrating your expertise in Python and SQL can really set you apart.
✨Tip Number 3
Prepare for the interview by understanding Lendable's products and their data needs. Tailor your examples to show how you can contribute to their non-lending products, like Car Insurance.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take that extra step.
We think you need these skills to ace Strategic Data Scientist & Roadmap Lead in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your technical expertise in Python and SQL right from the get-go. We want to see how your skills can contribute to our data science projects, so don’t hold back!
Communicate Clearly: Since strong communication is key for this role, ensure your application reflects that. Use clear and concise language to explain your past experiences and how they relate to the job at Lendable.
Project Management Matters: We love candidates with a solid project management track record. Share specific examples of projects you've led, focusing on your role and the impact you made. This will help us see your leadership potential!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. We can’t wait to hear from you!
How to prepare for a job interview at Lendable
✨Know Your Data Science Stuff
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss specific projects where you've used these technologies, especially in non-lending products. This will show that you can hit the ground running!
✨Show Off Your Project Management Skills
Prepare examples of past projects where you successfully managed timelines and collaborated with teams. Lendable is looking for someone who can lead data science initiatives, so highlight your ability to keep things on track and communicate effectively.
✨Understand the Business Context
Research Lendable and its non-lending products, like Car Insurance. Being able to discuss how data science can drive product expansion in these areas will demonstrate your strategic thinking and alignment with their goals.
✨Be Ready for a Chat
Since strong communication skills are key for this role, practice explaining complex data concepts in simple terms. Think about how you would present your findings to someone without a technical background, as this will be crucial when collaborating with managing directors.