Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Create innovative machine learning models for credit products and enhance data strategies.
- Company: Leading fintech company in London with a focus on innovation.
- Benefits: Flexible work, competitive pay, equity options, and private health insurance.
- Why this job: Join a dynamic team to shape the future of credit risk with cutting-edge technology.
- Qualifications: Expertise in machine learning and experience in financial services required.
- Other info: Remote work opportunity with excellent career advancement potential.
The predicted salary is between 48000 - 72000 £ per year.
A leading fintech company in London is seeking a Senior Data Scientist to build proprietary machine learning models for their credit products. The role involves collaborating with a multidisciplinary team to innovate on data strategy.
Candidates should have expertise in machine learning and experience in financial services.
This position offers a flexible work arrangement with best-in-class compensation and benefits, including equity and private health insurance.
Senior Data Scientist — Credit Risk ML Innovator (Remote) in London employer: Lendable
Contact Detail:
Lendable Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist — Credit Risk ML Innovator (Remote) in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the fintech space, especially those working with machine learning and credit risk. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, especially those relevant to financial services. This will give you an edge and demonstrate your expertise to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts in simple terms, as collaboration is key in multidisciplinary teams.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of exciting roles, and applying directly can sometimes give you a better chance at landing that dream job.
We think you need these skills to ace Senior Data Scientist — Credit Risk ML Innovator (Remote) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in machine learning and financial services. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about credit risk and how you can contribute to our innovative data strategy. Keep it engaging and personal – we love to see your personality!
Showcase Your Collaboration Skills: Since this role involves working with a multidisciplinary team, highlight any past experiences where you’ve successfully collaborated with others. We value teamwork, so let us know how you can bring that spirit to our crew!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Lendable
✨Know Your ML Models Inside Out
Make sure you can discuss your experience with machine learning models in detail. Be prepared to explain the algorithms you've used, why you chose them, and how they performed in real-world applications, especially in credit risk.
✨Showcase Your Financial Services Knowledge
Brush up on the latest trends and challenges in the financial services sector. Being able to relate your data science skills to real-world financial problems will impress the interviewers and show that you understand the industry.
✨Collaborate Like a Pro
Since this role involves working with a multidisciplinary team, be ready to share examples of past collaborations. Highlight how you’ve worked with different stakeholders to innovate on data strategies and what impact it had on your projects.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's data strategy and future projects. This shows your genuine interest in the role and helps you gauge if the company aligns with your career goals.
