At a Glance
- Tasks: Lead the development of innovative deep learning models to tackle real business challenges.
- Company: Join Capital One, a forward-thinking tech company transforming banking.
- Benefits: Enjoy competitive pay, flexible working, and extensive training opportunities.
- Other info: Diverse and inclusive workplace with excellent career growth potential.
- Why this job: Make a significant impact in a collaborative environment while advancing your skills.
- Qualifications: Strong experience in deep learning and coding, with a passion for innovation.
The predicted salary is between 80000 - 100000 £ per year.
Job Description
Lead Data Scientist – Deep Learning Practitioner
About this role
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 in close collaboration with our business partners.
This role will primarily focus on leading the development of proprietary deep learning models to address critical business challenges in underwriting. The role will also involve supporting our business partners as they develop advanced servicing products using Large Language Models.
What you’ll do
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Lead the development of 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 in order to stay at the forefront of innovation.
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Prioritise and own the roadmap for this work. Balancing R&D with in-market results, you will drive ideas from prototypes through to production.Â
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Provide consultancy to our tech and product partners, to help design, develop and launch products powered by Large Language Models (LLMs). This collaboration will help provide seamless experiences for our customers and associates.
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Use a combination of business acumen, coding and statistical skills to navigate large amounts of data and extract actionable solutions.
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Work cross-functionally on projects that support key business initiatives and drive sustainable growth.Â
What we’re looking for
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Strong experience developing and deploying deep learning models, particularly for sequential data (e.g. time series, language) using techniques such as LSTMs or transformers.
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A proven track record leading model development, including setting the technical direction, project management, stakeholder comms, and mentoring junior members of the team.
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Experience producing and managing reliable and maintainable code in Python in a team setting, including code reviews and setting software engineering best practicesÂ
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Hands-on experience with modern Machine/Deep Learning frameworks such as PyTorch, TensorFlow, or Hugging Face Transformers.
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Familiarity with both pre-training and fine-tuning of large-scale models
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Experience working with structured and unstructured data, such as text, logs, or time series and tokenisation techniques.
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A strong understanding of probability, statistics, machine learning and familiarity with large data set manipulation.
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A drive for continued learning through an internal and external focus, and an ability to prototype new techniques to assess value
We are committed to creating a level playing field and seek to create teams that are representative of our customers and the communities we serve. We’d love to hear from you if you identify with a typically under-represented group in our industry and are particularly keen to hear from women, the LGBTQ+ community and ethnic minority candidates.
Where and how you'll work
This is a permanent position based in our Nottingham or London office.
We have a hybrid working model, so you’ll be based in our office 3 days a week on Tuesdays, Wednesdays and Thursdays, and can work from home on Monday and Friday.
Many of our associates have flexible working arrangements, and we're open to talking about an arrangement that works for you.
What’s in it for you
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Bring us all this – and you’ll be well rewarded with a role contributing to the roadmap of an organisation committed to transformation
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We offer high performers strong and diverse career progression, investing heavily in developing great people through our Capital One University training programmes (and appropriate external providers)
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Immediate access to our core benefits including pension scheme, bonus, generous holiday entitlement and private medical insurance – with flexible benefits available including season-ticket loans, cycle to work scheme and enhanced parental leave
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Open-plan workspaces and accessible facilities designed to inspire and support you. Our Nottingham head-office has a fully-serviced gym, subsidised restaurant, mindfulness and music rooms. In London, you can heighten your mood with a run on our rooftop running track or an espresso at the Workshop Coffee café
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: whoever you are, whatever you look like, wherever you come from. We know it’s about what you do, not just what you say. That’s why we make our recruitment process fair and accessible. And we offer benefits that attract people at all ages and stages.
We also partner with organisations including the Women in Finance and Race At Work Charters, Stonewall and upReach to find people from every walk of life and help them thrive with us. We have a whole host of internal networks and support groups you could be involved in, to name a few:
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REACH – Race Equality and Culture Heritage group focuses on representation, retention and engagement for associates from minority ethnic groups and allies
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OutFront – to provide LGBTQ+ support for all associates
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Mind Your Mind – signposting support and promoting positive mental wellbeing for all
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Women in Tech – promoting an inclusive environment in tech
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EmpowHER – network of female associates and allies focusing on developing future leaders, particularly for female talent in our industry
Capital One is committed to diversity in the workplace.
If you require a reasonable adjustment, please contact ukrecruitment@capitalone.com All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment.
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Who We Are
At Capital One, we're building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit. We are succeeding because they are succeeding.
Guided by our shared values, we thrive in an environment where collaboration and openness are valued. We believe that innovation is powered by perspective and that teamwork and respect for each other lead to superior results. We elevate each other and obsess about doing the right thing. Our associates serve with humility and a deep respect for their responsibility in helping our customers achieve their goals and realize their dreams. Together, we are on a quest to change banking for good.
Lead Data Scientist - Deep Learning Practitioner in Leicester employer: Capital One UK
Contact Detail:
Capital One UK Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Scientist - Deep Learning Practitioner in Leicester
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your deep learning projects and any relevant work you've done. This is your chance to demonstrate your expertise and passion for data science, so make it shine!
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to deep learning and data science. We recommend doing mock interviews with friends or using online platforms to get comfortable with the process.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Lead Data Scientist - Deep Learning Practitioner in Leicester
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Lead Data Scientist role. Highlight your experience with deep learning models and how it aligns with our mission at StudySmarter. We want to see how you can bring your unique skills to our team!
Showcase Your Projects: Don’t just list your skills; show us what you’ve done! Include specific projects where you've developed or deployed deep learning models. This gives us a clear picture of your hands-on experience and how you tackle real-world problems.
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 gets straight to the point, making it easy for us to see your potential.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, you’ll find all the details about the role and our company culture there!
How to prepare for a job interview at Capital One UK
✨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 these models and how you've applied them to real-world problems. This will show that you're not just familiar with the theory but can also bring practical insights to the table.
✨Showcase Your Project Management Skills
Since this role involves leading model development, be prepared to talk about your project management experience. Highlight specific projects where you set the technical direction and managed stakeholders. Use examples that demonstrate your ability to balance R&D with in-market results.
✨Demonstrate Your Coding Proficiency
You’ll need to prove your coding skills, particularly in Python. Bring examples of your code or discuss your experience with code reviews and best practices. This will help the interviewers see that you can produce reliable and maintainable code in a team setting.
✨Be Ready for Cross-Functional Collaboration
This role requires working closely with tech and product partners. Prepare to discuss how you've collaborated on projects in the past, especially those involving large language models. Emphasise your communication skills and how you’ve helped design and launch successful products.