Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and implement advanced AI and machine learning models for real-world business challenges.
- Company: Dynamic fintech startup in London with a positive impact on SMEs.
- Benefits: Competitive compensation, unlimited holiday, and a vibrant work environment.
- Other info: Exciting opportunity to grow in a fast-paced, innovative setting.
- Why this job: Join a cutting-edge team and make a difference in the fintech industry.
- Qualifications: PhD and 5+ years of data science experience, proficient in Python and SQL.
The predicted salary is between 48000 - 72000 £ per year.
A fintech company in London is looking for a Data Scientist to design and implement advanced AI and machine learning models for business challenges. The role requires a PhD and over 5 years of data science experience, focusing on credit risk. Candidates should be proficient in Python, SQL, and familiar with machine learning frameworks.
The company offers competitive compensation, unlimited holiday, and a chance to work in a dynamic startup environment with a positive impact on SMEs.
Lead Data Scientist - ML & Risk, Hybrid London employer: Uncapped
Contact Detail:
Uncapped 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 people in the fintech space, especially those working with AI and machine learning. 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 best projects, especially those related to credit risk. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills. Be ready to discuss your experience with Python, SQL, and machine learning frameworks. We want to see how you tackle real-world problems!
✨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 & Risk, Hybrid London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data science, especially in credit risk. We want to see how your skills in Python and SQL shine through, so don’t hold back on those details!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you’re the perfect fit for this role. Share your passion for AI and machine learning, and how you can tackle business challenges in a fintech environment.
Showcase Your Projects: If you've worked on any relevant projects or have experience with machine learning frameworks, make sure to include them! We love seeing practical applications of your skills that demonstrate your expertise.
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 our team!
How to prepare for a job interview at Uncapped
✨Know Your Stuff
Make sure you brush up on your knowledge of AI and machine learning models, especially those related to credit risk. Be ready to discuss specific projects you've worked on and the impact they had. This will show that you not only understand the theory but can also apply it in real-world scenarios.
✨Showcase Your Skills
Since proficiency in Python and SQL is a must, prepare to demonstrate your coding skills. You might be asked to solve a problem on the spot or explain your thought process behind a previous project. Practising coding challenges beforehand can really help you shine.
✨Understand the Company
Research the fintech company thoroughly. Understand their products, target market, and how they leverage data science to solve business challenges. This will allow you to tailor your answers and show genuine interest in how you can contribute to their mission.
✨Ask Insightful Questions
Prepare some thoughtful questions to ask at the end of the interview. Inquire about their current data science projects, team dynamics, or how they measure success in this role. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.