At a Glance
- Tasks: Develop innovative deep learning models to enhance our lending business and drive growth.
- Company: Join a forward-thinking company committed to diversity and transformation.
- Benefits: Enjoy competitive pay, flexible working, and extensive training opportunities.
- Other info: Be part of a diverse team with strong career progression and support networks.
- Why this job: Make a real impact with cutting-edge technology in a collaborative environment.
- Qualifications: Experience in deep learning, Python coding, and data manipulation required.
The predicted salary is between 36000 - 60000 £ per year.
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.
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.
- 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 techniques such as 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 familiarity with large data set manipulation.
- Experience producing reliable and maintainable code in Python, with an ability to adapt to new languages and technologies.
- Ability to communicate findings to a diverse, business‑focused audience, influencing others in both verbal and written form.
- A drive for continued learning through an internal and external focus to develop enterprise and industry‑leading solutions.
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 discussion 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 and invest 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.
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, such as: REACH – Race Equality and Culture Heritage group focusing on representation, retention and engagement for associates from minority ethnic groups and allies. OutFront – providing 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 – all information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment.
Data Scientist / Deep Learning Practitioner employer: Capital One
At Capital One, we believe in empowering our employees to make a meaningful impact in their communities. As a Café Ambassador in the Bronx, you'll enjoy a vibrant work culture that prioritises inclusivity and personal growth, alongside a comprehensive benefits package that supports your well-being and career development. Join us to be part of a mission-driven team where your contributions are valued and you can thrive both personally and professionally.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist / Deep Learning Practitioner
✨Tip Number 1
Network like a pro! Reach out to current employees on LinkedIn or attend industry meetups. We all know that sometimes it’s not just what you know, but who you know that can get your foot in the door.
✨Tip Number 2
Prepare for those interviews by brushing up on your deep learning knowledge. We recommend practising common interview questions and even doing mock interviews with friends. Show them you’re not just a data whiz, but also a great communicator!
✨Tip Number 3
Don’t forget to showcase your projects! Whether it’s a GitHub repo or a personal blog, we want to see your hands-on experience with deep learning models. It’s a great way to demonstrate your skills beyond just words on a CV.
✨Tip Number 4
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 team at StudySmarter.
We think you need these skills to ace Data Scientist / Deep Learning Practitioner
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the job description. Highlight your deep learning experience and any relevant projects you've worked on. We want to see how you can contribute to our team!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to tell us why you're passionate about data science and how your background aligns with our goals. Be sure to mention specific technologies or frameworks you’ve used.
Showcase Your Projects:If you've worked on any cool projects, especially those involving deep learning or machine learning, make sure to include them in your application. We love seeing practical applications of your skills!
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’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Capital One
✨Know Your Deep Learning Stuff
Make sure you brush up on your deep learning models, especially LSTMs and transformers. Be ready to discuss how you've applied these techniques in real-world scenarios, particularly with sequential data like time series or language.
✨Show Off Your Coding Skills
Be prepared to demonstrate your coding prowess in Python. You might be asked to solve a problem on the spot, so practice writing clean, maintainable code. Familiarity with frameworks like PyTorch or TensorFlow will definitely give you an edge.
✨Communicate Like a Pro
Since you'll need to convey complex findings to a business-focused audience, practice explaining your work in simple terms. Think about how you can influence others with your insights, both verbally and in writing.
✨Emphasise Collaboration
This role involves working cross-functionally, so highlight any experience you have in collaborative projects. Share examples of how you've worked with different teams to drive business initiatives and achieve common goals.
