At a Glance
- Tasks: Lead the development of innovative deep learning models to enhance underwriting capabilities.
- Company: Join Capital One, a leading tech company transforming banking with data-driven insights.
- Benefits: Enjoy competitive salary, flexible working, and access to extensive training programmes.
- Why this job: Make a real impact by unlocking the power of data and driving business transformation.
- Qualifications: Strong experience in deep learning, coding, and statistical analysis required.
- Other info: Collaborative culture with diverse teams and excellent career growth opportunities.
The predicted salary is between 43200 - 72000 £ 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 in close collaboration with our business partners.
This role will focus on leading the development of proprietary deep learning models in order to enhance our existing underwriting capabilities. By utilizing a mix of new and existing data, you will identify ways to improve predictive power and generate high-impact customer insights.
What you'll do:
- Lead the development of next generation deep learning approaches to advance our current underwriting models, to ensure that our core lending capabilities remain at the forefront of the industry.
- Unlock the value in non-traditional datasets by building sophisticated neural networks (e.g. LSTMs, RNNs, or Transformers). You will find novel ways to transform raw, multi-modal inputs into powerful predictive features.
- Collaborate with business stakeholders to prioritize initiatives. You will bridge the gap between ambitious R&D and tangible in-market results, driving ideas from initial prototypes through to production.
- 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:
- Strong experience developing and deploying deep learning models, particularly for sequential data (e.g. Time series or language models).
- A proven track record leading model development, including setting the technical direction, project management, stakeholder communications, and mentoring junior members of the team.
- Experience producing and managing reliable and maintainable code in SQL/Python in a team setting, including code reviews and setting software engineering best practices.
- Hands-on experience with modern Machine/Deep Learning frameworks such as PyTorch, TensorFlow, or Hugging Face Transformers, including training deep learning models on GPUs or GPU clusters.
- 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 familiarity with large data set manipulation.
- A drive for continued learning through an internal and external focus, and an ability to prototype new techniques to assess value.
Where and how you'll work:
This is a permanent position based in our Nottingham 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:
- Bring us all this - and you'll be well rewarded with a role contributing to the roadmap of an organisation committed to transformation.
- 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).
- 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.
- 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.
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:
- REACH – Race Equality and Culture Heritage group focuses on representation, retention and engagement for associates from minority ethnic groups and allies.
- OutFront – to provide LGBTQ+ support for all associates.
- Mind Your Mind – signposting support and promoting positive mental wellbeing for all.
- Women in Tech – promoting an inclusive environment in tech.
- 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 West Bridgford 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 West Bridgford
✨Tip Number 1
Network like a pro! Reach out to folks 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 cool models you've developed. This is your chance to shine and demonstrate what you can bring to the table beyond just a CV.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with both techies and non-techies alike.
✨Tip Number 4
Don't forget to apply through our website! It's the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining our awesome team at Capital One.
We think you need these skills to ace Lead Data Scientist / Deep Learning Practitioner in West Bridgford
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 you've tackled similar challenges in the past. We want to see how you can bring your unique skills to our team!
Showcase Your Projects: Include specific examples of projects where you've developed or deployed deep learning models. Whether it's using LSTMs, RNNs, or Transformers, we love seeing real-world applications of your skills. Don't be shy—let us know what you've achieved!
Be Clear and Concise: When writing your application, keep it straightforward and to the point. Use clear language to describe your experiences and avoid jargon unless necessary. We appreciate a well-structured application that makes it easy for us to see your qualifications.
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy—just follow the prompts and you’ll be on your way to joining our awesome team!
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 models, especially those related to sequential data like LSTMs and RNNs. Be ready to discuss your past projects and how you've applied these techniques to solve real-world problems.
✨Show Off Your Collaboration Skills
This role involves working closely with business stakeholders, so be prepared to share examples of how you've successfully collaborated in the past. Highlight any experiences where you bridged the gap between technical and non-technical teams.
✨Demonstrate Your Coding Proficiency
Since coding is a big part of this job, make sure you're comfortable discussing your experience with SQL and Python. Bring examples of your code or projects that showcase your ability to write reliable and maintainable code.
✨Be Ready for Problem-Solving Questions
Expect to tackle some hypothetical scenarios during the interview. Think about how you would approach unlocking value from non-traditional datasets or improving predictive power. Show your thought process and creativity in problem-solving.