Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead the development of innovative machine learning models for commercial lending.
- Company: Dynamic fintech company in Greater London with a focus on innovation.
- Benefits: Hybrid working, competitive salary, and comprehensive employee benefits.
- Why this job: Make a real impact in the financial sector while mentoring future data scientists.
- Qualifications: Advanced education in a quantitative field and expertise in Python and SQL.
- Other info: Join a fast-paced environment with opportunities for professional growth.
The predicted salary is between 48000 - 72000 £ per year.
A financial technology company in Greater London is looking for a Senior (Lead) Data Scientist to develop and implement cutting-edge statistical and machine learning models for commercial lending products. The ideal candidate will have advanced education in a quantitative field and expertise in Python and SQL. This role involves mentoring junior team members and requires a focus on delivering business results in a dynamic environment. The company offers hybrid working and a range of employee benefits.
Lead Data Scientist: ML & Lending Analytics in London employer: Funding Circle Ltd.
Contact Detail:
Funding Circle Ltd. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Scientist: ML & Lending Analytics in London
✨Tip Number 1
Network like a pro! Reach out to people in the fintech space, especially those working in data science. A friendly chat can lead to insider info about job openings or even a referral.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning models and analytics projects. This is your chance to demonstrate your expertise in Python and SQL, making you stand out from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss how you've delivered business results in previous roles and how you can mentor others in the team.
✨Tip Number 4
Don't forget to apply through our website! We love seeing applications directly from candidates who are passionate about joining us. It shows initiative and gives you a better chance of landing that interview.
We think you need these skills to ace Lead Data Scientist: ML & Lending Analytics in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your expertise in Python and SQL right from the get-go. We want to see how your skills can help us develop those cutting-edge models for our lending products!
Tailor Your Application: Don’t just send a generic CV! Customise your application to reflect how your experience aligns with the role. Mention any relevant projects or achievements that demonstrate your ability to deliver business results.
Mentorship Matters: Since this role involves mentoring, share any experiences you have in guiding junior team members. We love seeing how you can contribute to our team's growth and success!
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 from us!
How to prepare for a job interview at Funding Circle Ltd.
✨Know Your Models Inside Out
Make sure you can discuss the statistical and machine learning models you've worked with in detail. Be prepared to explain how you've implemented these models in real-world scenarios, especially in commercial lending contexts.
✨Showcase Your Python and SQL Skills
Brush up on your Python and SQL knowledge before the interview. You might be asked to solve a problem or write a query on the spot, so practice coding challenges that are relevant to data science and analytics.
✨Prepare for Mentorship Questions
Since this role involves mentoring junior team members, think about your past experiences in guiding others. Be ready to share specific examples of how you've helped colleagues grow and how you approach mentorship.
✨Demonstrate Business Acumen
Understand the financial technology landscape and how data science contributes to business outcomes. Be prepared to discuss how your work can drive results in a dynamic environment, showcasing your ability to align technical skills with business goals.
