At a Glance
- Tasks: Develop machine learning models and generate insights from complex data to solve business challenges.
- Company: Join Capital One, a leading tech company transforming the banking industry.
- Benefits: Enjoy competitive salary, flexible working, and extensive training opportunities.
- Other info: Diverse and inclusive workplace with excellent career growth and support networks.
- Why this job: Make a real impact in financial services while working with innovative technologies.
- Qualifications: Strong stats background, coding skills in Python, and experience with large datasets.
The predicted salary is between 45000 - 55000 £ per year.
Job Description
Data Scientist / Statistician (Model Developer)
About this role
Our Data Science team focuses on the development of machine learning and AI solutions, to solve business problems and deliver actionable insights. We are a talented, collaborative and enthusiastic group, who use our expertise to make sense of complex data, working in close collaboration with our business partners. This role will primarily focus on feature engineering and insight generation from new types of data and the development of machine learning models to address critical business challenges in underwriting.Â
We are interested in candidates who have experience working with Open Banking or Credit Bureau data. A deep grounding in statistics and experience of Model Risk Management is also welcomed.Â
What you’ll do
-
Develop and maintain the machine learning models which define our competitive advantage in the financial services market.
-
Explore and evaluate data, using advanced feature generation and categorisation techniques, in order to stay at the forefront of innovation.
-
Analyse tabular and non-tabular data, such as text, logs, or time series, to produce powerful new insights.
-
Consult on complex statistical test design, to efficiently learn our way into new areas of the market.
-
Use a combination of business acumen, coding and statistical skills to navigate large amounts of data and extract actionable solutions, working cross-functionally to support key business initiatives and drive sustainable growth.Â
What we’re looking for
-
A strong understanding of probability, statistics, machine learning, feature extraction and familiarity with large data set manipulation.
-
Experience using deep learning models, particularly for sequential data.
-
Familiarity with Open Banking or Credit Bureau data.
-
Experience working with multi-modal data; in multiple formats from a variety of different sources.
-
Experience in producing reliable and maintainable code in Python, with an ability to adapt to new languages and technologies.
-
Experience of Model Risk Management; technical documentation, coding best practices, the importance of validation and ongoing monitoring.
-
Natural curiosity and proactive engagement with all areas of the business, with a desire to ask questions, challenge the status-quo and identify where Data Science can add value.
-
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, in order to develop enterprise and industry leading solutions.
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 office. Â
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.
Data Scientist / Statistician (Model Developer) in Leicester employer: Capital One UK
Contact Detail:
Capital One UK Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist / Statistician (Model Developer) in Leicester
✨Tip Number 1
Network like a pro! Reach out to current employees on LinkedIn or attend industry meetups. It’s all about making connections that can help you get your foot in the door.
✨Tip Number 2
Prepare for those interviews! Brush up on your machine learning concepts and be ready to discuss your experience with Open Banking or Credit Bureau data. We want to see your passion and expertise shine through!
✨Tip Number 3
Show off your projects! If you’ve worked on any relevant data science projects, make sure to have them ready to share. A portfolio can really set you apart from the crowd.
✨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, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Data Scientist / Statistician (Model Developer) in Leicester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Scientist / Statistician role. Highlight your experience with machine learning, feature engineering, and any relevant data sources like Open Banking or Credit Bureau data. We want to see how your skills align with what we’re looking for!
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 you can contribute to our team. Don’t forget to mention specific projects or experiences that showcase your skills in statistics and model development.
Showcase Your Technical Skills: We love seeing your technical prowess! Make sure to include any programming languages you’re comfortable with, especially Python, and any experience with deep learning models. If you’ve worked on multi-modal data, let us know how you tackled those challenges!
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. Plus, it shows you’re keen to join our team!
How to prepare for a job interview at Capital One UK
✨Know Your Data Inside Out
Before the interview, dive deep into the types of data you'll be working with, especially Open Banking and Credit Bureau data. Familiarise yourself with common challenges and trends in these areas, so you can discuss how your experience aligns with their needs.
✨Showcase Your Statistical Skills
Prepare to discuss your understanding of probability, statistics, and machine learning. Be ready to explain how you've applied these concepts in past projects, particularly in feature engineering and model development, as this will demonstrate your technical prowess.
✨Communicate Clearly and Confidently
Practice explaining complex statistical concepts in simple terms. The ability to communicate findings effectively to a diverse audience is crucial, so consider using examples from your previous work to illustrate your points during the interview.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's data science initiatives and how they integrate with business goals. This shows your genuine interest in the role and helps you assess if the company culture aligns with your values.