If you think Capital One is simply a credit card provider, think again. In many ways, we're more of a technology business than a finance company. We pioneered the use of predictive modelling in this industry, and today we still look at credit the way tech companies look at everything – with a view to changing the way people live, making things simpler and easier for our customers.
As a result, you’ll find Capital One an inspiring place to launch your career. We’re an award-winning employer in part because we encourage freedom and creativity, as well as looking after our people.
What are Data Scientists at Capital One?
Our Data Scientists find the hidden gems in an ocean of data. How can we understand our customers better? Where are our risks? How are our marketing campaigns doing? The answers are all there in the data. If you can find them and explain them, you’ll be at the heart of our business.
What you’ll do
Over three nine-month rotations, you’ll put our new products and processes through their paces to make sure we deliver quality solutions for our customers as well as supporting models that are critical to every lending decision we make. As part of that, you’ll design models and experiments and present them to our senior managers. Beyond that, you’ll be given all the flexibility and freedom you need to develop your own ideas and to use your skills and knowledge in all sorts of different ways – for example, in our ‘campus time’ you’ll be free to explore new techniques for future customer-centric projects.
We’ll make sure you get exposure to all aspects of Data Science. Within our Model Developer role, you’ll take ownership of our Machine Learning models. You’ll also gain a deep technical coding experience as you build products to automate manual processes in our Tool Developer role. There are also opportunities for rotations into other areas, including digital marketing, lending strategies and software engineering. Within your first month, have a real impact on how we understand our world. And at the end of the scheme, you’ll have all the skills you need to be a high-performing Data Scientist.
What you’ll need
A Master’s or PhD in something analytical is important and you should already have had exposure to open source programming plus some basic model building experience. You’ll need to know your programming languages too, ideally R or Python. If you can also bring a real curiosity (you’ll be keen to question things and suggest improvements), this is an opportunity to be part of a diverse team that’s working towards a common goal.
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