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Job ID R79444
Nottingham Trent House (95002), United Kingdom, Nottingham, Nottinghamshire

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.

Senior Data Scientist

If knowledge is power, then our Data Scientists could compete with the national grid. Our Data Scientist Team here at Capital One are continually innovating the way we handle our data,  helping to transform every corner of our business. We do this through harnessing data, technology, and analytics - extracting relevant insights from data to tackle a huge variety of business problems. Using the latest in computing and machine learning technologies, you’ll build human-centric experiences for moments that matter throughout the customer journey.

So, if you’re a data guru and have  in-depth knowledge of specific programming languages, experience in extracting nuggets of insight from data and have a thirst for the innovative and creative, we think you’ll feel right at home as one of our Data Scientists.


What do our Data Scientists do?

  • Identify when we can apply statistical or machine-learning techniques to improve business performance

  • Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation

  • Help us to evaluate new products or processes

  • Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love

  • Leverage a broad stack of technologies — Python R, SQL — to reveal the insights hidden within huge volumes of numeric and textual data

  • Flex your interpersonal skills to translate the complexity of your work into tangible business goals

Who are we looking for?

  • You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers.

  • You continually research and evaluate emerging technologies, you love innovation. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them.

  • You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea.

  • You challenge conventional thinking and work with stakeholders to identify and improve the status quo.

  • You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and machine learning.

  • You’re statistically-minded. You’ve built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and neural networks

  • You’re a data guru. “Big data” doesn’t phase you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science, 


What’s in it for you;

  • Bring us all this - and you’ll be handsomely rewarded with a role contributing to the product roadmap 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 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

  • Find out more through our UK careers site (http://www.capitalonecareers.co.uk/) or by exploring the@IAmCapitalOne Twitter page

Capital One is committed to diversity in the workplace.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

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).

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