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- Tasks: Lead the development of advanced machine learning models for lending products.
- Company: Innovative fintech company based in Greater London with a focus on technology.
- Benefits: Hybrid working, competitive salary, and a range of employee perks.
- Why this job: Make a real impact in the fintech space while mentoring future data scientists.
- Qualifications: Advanced education in a quantitative field and expertise in Python and SQL.
- Other info: Dynamic environment with opportunities for professional growth and mentorship.
The predicted salary is between 43200 - 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 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
✨Tip Number 1
Network like a pro! Reach out to professionals in the fintech space, especially those working with machine learning and lending analytics. A friendly chat can lead to valuable insights and even job referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best projects in Python and SQL. This is your chance to demonstrate your expertise in developing statistical models and how they’ve delivered real business results.
✨Tip Number 3
Prepare for interviews by brushing up on common data science scenarios. Be ready to discuss how you would approach specific challenges in commercial lending. We want to see your thought process and problem-solving skills in action!
✨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 are proactive about their job search.
We think you need these skills to ace Lead Data Scientist: ML & Lending Analytics
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your expertise in Python and SQL in your application. We want to see how you’ve used these skills in real-world scenarios, especially in developing statistical and machine learning models.
Tailor Your Application: Don’t just send a generic CV and cover letter. We’re looking for candidates who can demonstrate their understanding of commercial lending products and how they can contribute to our team. Customise your application to reflect this!
Mentorship Matters: Since this role involves mentoring junior team members, share any relevant experience you have in guiding others. We value collaboration and want to know how you can help grow our team’s talent.
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 during the process.
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 previous roles, particularly in commercial lending contexts. This will show your expertise and ability to deliver business results.
✨Brush Up on Python and SQL
Since the role requires expertise in Python and SQL, ensure you're comfortable discussing your experience with these languages. You might be asked to solve a problem or write a query during the interview, so practice coding challenges beforehand to demonstrate your skills.
✨Showcase Your Mentoring Skills
As this position involves mentoring junior team members, think of examples where you've successfully guided others. Be ready to share your approach to mentoring and how it has positively impacted your team’s performance. This will highlight your leadership qualities.
✨Understand the Business Context
Familiarise yourself with the financial technology landscape, especially around lending products. Being able to discuss how data science can drive business outcomes in this sector will set you apart. Research the company’s products and be ready to suggest how you could contribute to their success.
