Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead teams in applying deep learning to innovate underwriting models and enhance product development.
- Company: A leading financial technology company focused on collaboration and innovation.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Why this job: Make a real impact in fintech by driving innovation with deep learning techniques.
- Qualifications: Expertise in deep learning and experience in leading data science teams.
- Other info: Join a dynamic team in Nottingham or London with excellent career advancement opportunities.
The predicted salary is between 48000 - 72000 £ per year.
A leading financial technology company is seeking a Lead Data Scientist specializing in deep learning to innovate underwriting models. The ideal candidate will lead teams to apply deep learning techniques to enhance product development, collaborate with tech partners, and contribute to significant data-driven insights. This permanent position offers a hybrid work model in Nottingham or London, with a focus on collaboration and innovation.
Lead Deep Learning Scientist — LLMs & Time Series in Nottingham employer: Capital One (Europe) plc
Contact Detail:
Capital One (Europe) plc Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Deep Learning Scientist — LLMs & Time Series in Nottingham
✨Tip Number 1
Network like a pro! Reach out to professionals in the fintech space, especially those working with deep learning. Attend meetups or webinars to connect with potential colleagues and get insider info on job openings.
✨Tip Number 2
Showcase your skills! Create a portfolio that highlights your deep learning projects, especially those related to underwriting models. This will give you an edge when discussing your experience during interviews.
✨Tip Number 3
Prepare for technical interviews by brushing up on your deep learning knowledge. Be ready to discuss your approach to problem-solving and how you've applied these techniques in real-world scenarios.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you, and applying directly can sometimes give you a better chance of landing that interview.
We think you need these skills to ace Lead Deep Learning Scientist — LLMs & Time Series in Nottingham
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with deep learning and any relevant projects you've worked on. We want to see how your skills align with the role of Lead Deep Learning Scientist, so don’t hold back!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about deep learning and how you can contribute to our innovative underwriting models. Let us know what excites you about this opportunity!
Showcase Your Team Leadership Skills: Since this role involves leading teams, be sure to mention any leadership experiences you have. We love to see examples of how you've successfully collaborated with others to achieve great results in tech projects.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It’s the best way for us to receive your application and get to know you better!
How to prepare for a job interview at Capital One (Europe) plc
✨Know Your Deep Learning Stuff
Make sure you brush up on your deep learning techniques, especially those related to LLMs and time series. Be ready to discuss specific models you've worked with and how they can be applied to underwriting. This shows you're not just familiar with the theory but have practical experience too.
✨Showcase Your Leadership Skills
As a Lead Data Scientist, you'll need to demonstrate your ability to lead teams effectively. Prepare examples of past experiences where you've successfully guided a team through a project, highlighting your collaboration skills and how you foster innovation within your group.
✨Understand the Financial Tech Landscape
Familiarise yourself with the current trends in financial technology, especially how deep learning is transforming underwriting models. Being able to discuss these trends will show that you're not only technically skilled but also understand the industry context.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare insightful questions about their current projects, team dynamics, and how they envision the role evolving. This not only shows your interest but also helps you gauge if the company culture aligns with your values.