Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead the development of advanced AI and ML models in a dynamic fintech environment.
- Company: A rapidly growing fintech company based in London.
- Benefits: Unlimited holiday, competitive compensation, and a hybrid work model.
- Why this job: Make a real impact in the lending space with cutting-edge technology.
- Qualifications: PhD in Mathematics, Physics, or related fields with 5+ years of experience.
- Other info: Collaborative team culture with opportunities for professional growth.
The predicted salary is between 43200 - 72000 £ per year.
A growing fintech company is looking for a Data Scientist in London to develop and implement advanced AI and ML models. The ideal candidate will possess a PhD in Mathematics, Physics, or related fields and have 5+ years of industry experience.
Responsibilities include:
- Leading ML Ops frameworks
- Collaborating with various teams
- Continuously monitoring model performance
This role offers the opportunity to make a significant impact in the lending space and enjoy benefits like unlimited holiday and competitive compensation.
Lead Data Scientist - ML & Risk, Hybrid London employer: Uncapped Ltd.
Contact Detail:
Uncapped Ltd. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Scientist - ML & Risk, Hybrid London
✨Tip Number 1
Network like a pro! Reach out to your connections in the fintech space and let them know you're on the lookout for opportunities. A personal recommendation can go a long way in landing that dream role.
✨Tip Number 2
Showcase your skills! Create a portfolio of your best AI and ML projects. This will not only demonstrate your expertise but also give you something tangible to discuss during interviews.
✨Tip Number 3
Prepare for those technical interviews! Brush up on your ML Ops frameworks and be ready to discuss how you've led projects in the past. Practice makes perfect, so consider mock interviews with friends or mentors.
✨Tip Number 4
Don't forget to apply through our website! We’ve got loads of exciting roles waiting for talented individuals like you. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Lead Data Scientist - ML & Risk, Hybrid London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in AI and ML, especially any projects that relate to fintech. We want to see how your skills align with the role, so don’t be shy about showcasing your PhD and industry experience!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data science and how you can contribute to our team. We love seeing enthusiasm for the lending space and innovative ideas.
Showcase Your Collaboration Skills: Since this role involves working with various teams, highlight any past experiences where you’ve successfully collaborated on projects. We value teamwork, so let us know how you can bring people together to achieve great results!
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’re considered for the role. Plus, it shows you’re keen on joining our awesome team!
How to prepare for a job interview at Uncapped Ltd.
✨Know Your Models Inside Out
Make sure you can discuss the AI and ML models you've worked on in detail. Be prepared to explain your thought process, the challenges you faced, and how you overcame them. This shows your depth of knowledge and experience.
✨Showcase Your Collaboration Skills
Since this role involves working with various teams, be ready to share examples of successful collaborations. Highlight how you communicated complex data concepts to non-technical stakeholders and how you contributed to team success.
✨Stay Updated on Industry Trends
Familiarise yourself with the latest trends in fintech and machine learning. Being able to discuss recent advancements or case studies will demonstrate your passion for the field and your commitment to continuous learning.
✨Prepare Questions About Model Performance Monitoring
Since monitoring model performance is a key responsibility, come prepared with insightful questions about their current practices. This not only shows your interest but also your understanding of the importance of maintaining model efficacy.
