Data Scientist - Deep Learning Practitioner - Capital One in City of London
Data Scientist - Deep Learning Practitioner - Capital One

Data Scientist - Deep Learning Practitioner - Capital One in City of London

City of London Full-Time 36000 - 60000 ÂŁ / year (est.) No home office possible
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At a Glance

  • Tasks: Develop innovative deep learning models to enhance our lending business and create impactful solutions.
  • Company: Join Capital One, a forward-thinking company dedicated to diversity and innovation.
  • Benefits: Enjoy competitive pay, flexible working, generous holidays, and access to wellness facilities.
  • Why this job: Be at the forefront of AI technology and make a real difference in financial services.
  • Qualifications: Experience with deep learning frameworks and strong coding skills are essential.
  • Other info: Collaborative environment with excellent career growth and training opportunities.

The predicted salary is between 36000 - 60000 ÂŁ per year.

Our Data Science team focuses on the development of Machine Learning and Deep Learning solutions to solve business problems and deliver actionable insights. We are a talented, collaborative and enthusiastic group who use our expertise to derive insights from complex data, working closely with our business partners.

What you'll do

  • Develop new deep learning approaches to advance our current underwriting models, which form the heart of our lending business.
  • Apply these to new types of (multi-modal) data to stay at the forefront of innovation.
  • Provide consultancy to our tech and product partners to design, develop and launch products powered by Large Language Models (LLMs), creating seamless experiences for customers and associates.
  • Use a combination of business acumen, coding and statistical skills to navigate large amounts of data and extract actionable solutions.
  • Work cross-functionally on projects that support key business initiatives and drive sustainable growth.

What we're looking for

  • Experience developing and deploying deep learning models, particularly for sequential data (e.g., time series, language) using LSTMs or transformers.
  • Hands‑on experience with modern Machine/Deep Learning frameworks such as PyTorch, TensorFlow, or Hugging Face Transformers.
  • Familiarity with both pre‑training and fine‑tuning of large‑scale models.
  • Experience working with structured and unstructured data, such as text, logs, or time series, and tokenisation techniques.
  • A strong understanding of probability, statistics, machine learning and large‑data set manipulation.
  • Proven ability to produce reliable and maintainable Python code and adapt to new languages and technologies.
  • Strong communication skills to present findings to a diverse business‑focused audience.
  • Drive for continued learning through internal and external focus to develop industry‑leading solutions.

We are committed to creating a level playing field and welcome candidates from under‑represented groups. We particularly encourage applications from women, the LGBTQ+ community, and ethnic minorities.

Where and how you'll work

This is a permanent position based in our Nottingham or London office. We have a hybrid working model: you’ll be in the office three days a week (Tues‑Wed‑Thu) and can work from home on Monday and Friday. Many of our associates have flexible working arrangements, and we’re open to discussing a setup that works for you.

What's in it for you

  • Opportunity to contribute to the roadmap of an organisation committed to transformation.
  • Strong career progression and training programmes including Capital One University and external providers.
  • Immediate access to core benefits: pension scheme, bonus, generous holiday entitlement and private medical insurance, plus flexible benefits such as season‑ticket loans, cycle‑to‑work scheme and enhanced parental leave.
  • Open‑plan workspaces with accessible facilities designed to inspire and support you.
  • Nottingham head‑office has a fully‑serviced gym, subsidised restaurant, mindfulness and music rooms.
  • London offers rooftop running track and cafĂ© access.

What you should know about how we recruit

We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whatever you are, whatever you look like, wherever you come from. We focus on what you do, not just what you say.

Capital One is committed to diversity in the workplace. If you require a reasonable adjustment, please contact. All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment.

Data Scientist - Deep Learning Practitioner - Capital One in City of London employer: eFinancialCareers

Capital One is an exceptional employer that fosters a collaborative and innovative work culture, particularly for Data Scientists focused on Deep Learning. With a strong commitment to employee growth through comprehensive training programmes and a hybrid working model, associates enjoy a supportive environment that prioritises diversity and inclusion. The London office features unique amenities such as a rooftop running track and a vibrant café, making it an inspiring place to work while contributing to meaningful projects that drive transformation in the financial sector.
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Contact Detail:

eFinancialCareers Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Scientist - Deep Learning Practitioner - Capital One in City of London

✨Tip Number 1

Network like a pro! Reach out to current employees at Capital One on LinkedIn or through mutual connections. A friendly chat can give us insights into the company culture and maybe even a referral!

✨Tip Number 2

Prepare for those interviews by brushing up on your deep learning knowledge. We should be ready to discuss our experience with LSTMs, transformers, and frameworks like PyTorch or TensorFlow. Practice explaining complex concepts in simple terms!

✨Tip Number 3

Showcase our projects! If we’ve worked on any relevant deep learning models or data manipulation tasks, let’s have them ready to discuss. Real-world examples can really impress interviewers and show our hands-on experience.

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure our application gets seen. Plus, it shows we’re genuinely interested in being part of the Capital One team.

We think you need these skills to ace Data Scientist - Deep Learning Practitioner - Capital One in City of London

Deep Learning
Machine Learning
LSTMs
Transformers
PyTorch
TensorFlow
Hugging Face Transformers
Data Manipulation
Probability
Statistics
Python Programming
Tokenisation Techniques
Communication Skills
Business Acumen
Cross-Functional Collaboration

Some tips for your application 🫡

Tailor Your Application: Make sure to customise your CV and cover letter for the Data Scientist role. Highlight your experience with deep learning models and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!

Showcase Your Skills: Don’t just list your technical skills; demonstrate them! Include specific examples of how you've used frameworks like PyTorch or TensorFlow in your previous roles. This helps us understand your hands-on experience and problem-solving abilities.

Be Clear and Concise: When writing your application, keep it straightforward. Use clear language and avoid jargon unless necessary. We appreciate a well-structured application that makes it easy for us to see your qualifications at a glance.

Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets to the right people. Plus, you’ll find all the details about the role and our company culture there!

How to prepare for a job interview at eFinancialCareers

✨Know Your Deep Learning Stuff

Make sure you brush up on your deep learning knowledge, especially around LSTMs and transformers. Be ready to discuss your experience with frameworks like PyTorch and TensorFlow, and think of specific examples where you've applied these skills to solve real business problems.

✨Showcase Your Data Skills

Prepare to talk about how you've worked with both structured and unstructured data. Have a few examples ready that demonstrate your ability to manipulate large datasets and extract actionable insights. This will show that you can navigate complex data challenges effectively.

✨Communicate Clearly

Since you'll be presenting findings to a diverse audience, practice explaining your technical work in simple terms. Think about how you can make complex concepts accessible to non-technical stakeholders, as this is crucial for collaboration in a cross-functional team.

✨Emphasise Continuous Learning

Capital One values ongoing development, so be prepared to discuss how you keep your skills sharp. Mention any recent courses, workshops, or projects that have helped you grow in the field of data science and deep learning. This shows you're committed to staying at the forefront of innovation.

Data Scientist - Deep Learning Practitioner - Capital One in City of London
eFinancialCareers
Location: City of London
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  • Data Scientist - Deep Learning Practitioner - Capital One in City of London

    City of London
    Full-Time
    36000 - 60000 ÂŁ / year (est.)
  • E

    eFinancialCareers

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