At a Glance
- Tasks: Join us to manage and innovate data strategies using AI and modern tech.
- Company: Capital One, a top-rated workplace focused on diversity and inclusion.
- Benefits: Competitive salary, extensive learning opportunities, and a supportive work environment.
- Other info: Hybrid work model with inspiring office facilities and a culture of belonging.
- Why this job: Make a real impact in data management while developing your career in a dynamic team.
- Qualifications: Critical problem-solving skills and a passion for data management and AI.
The predicted salary is between 45000 - 55000 £ per year.
Nottingham Trent House (95002), United Kingdom, Nottingham, Nottinghamshire
Our Mission
We’re on a mission to be a force for good in lending. Throughout our almost 30-year history, we’ve consistently been recognised as a great place to work; in 2026, Capital One was officially ranked 9th in the UK’s Best Workplaces™ list. Hear from our team about what it’s like working at Capital One UK.
About the Role
Data is at the heart of everything we do. We operate a multitude of systems that store, process and use data to support our operations, analytics and reporting, all driving us towards our business goals of helping our customers and associates succeed. Ensuring we have a thorough understanding and robust management of the data the UK business creates and uses is crucial. This is essential to ensuring our business is well managed, giving users ultimate confidence that the data they are using is available and of the highest quality.
We are seeking an energetic and forward-thinking individual to join us to help build, deliver, improve and lead on data management across the business. In this role, you will work on a variety of strategic and technical activities to solve complex problems, drive technical convergence, and safely operationalise Artificial Intelligence (AI) frameworks to unlock the power of data through excellent data management.
What You'll Do
- AI in Data Management & Strategy: Help create an AI-literate Data Management team, understanding AI tooling risks and benefits, whilst collaborating with broader analytics teams to champion key data considerations.
- Frameworks & Governance: Identify key data management principles to enable safe, scaled AI, and evolve our frameworks to meet changing AI and regulatory needs.
- Operationalise & Unlock Value: Drive and implement AI within the Data Management Team (DMT), leading the thinking on near-term value unlocks that enable end-users to self-serve through AI.
- Strategic Alignment: Understand and plan for advances in Enterprise AI Data Management Strategy, advising on how the UK business should be structured to align.
- Migration Leadership: Serve as a technical lead for convergence migration, covering data storage, definitions, lineage, quality, modelling, access and consumption.
- End-to-End Coordination: Ensure critical migration factors are met, including setting up correct access profiles, migrating metadata/data quality rules, and setting up UK analytical teams for success.
- Enterprise Integration & Roadmapping: Partner with Enterprise teams to plan migration sequencing and dependencies, whilst driving our broader data strategy by identifying industry maturity gaps.
- Stakeholder Engagement & Risk: Collaborate with stakeholders to drive policy-compliant practices across the data lifecycle, executing data management assessments through 2nd and 3rd-line reviews.
- Talent Development: Coach, nurture and develop associates across the business to ensure a thorough understanding of their data management responsibilities and the value behind them.
The Skills and Experience You Need
- Critical Problem Solving: Ability to use critical thinking to resolve complex problems, acting as an owner to identify, document and manage data issues.
- Influence & Communication: Strong judgment coupled with excellent communication and networking skills to influence stakeholders and drive meaningful business change.
- User-Centric Solutioning: Capability to provide actionable advice and create solutions or communications that help end-users self-serve, access and navigate data.
- Innovation & Advocacy: A track record of bringing new ideas and establishing new processes that support data strategy, whilst acting as an ambassador for the team.
- Delivery & Leadership: Proven ability to manage structured business processes, nurture stakeholder relationships and successfully deliver large, value-add activities.
- Data & Risk Governance: A strong understanding of, or keen interest in, Data Management, Data Risk Management fundamentals and policy compliance frameworks.
- AI & Innovation Guardrails: Understanding of AI technologies, skills and use cases, with the ability to apply AI to drive operational efficiencies using proper guardrails.
- Cloud Infrastructure: Basic operational knowledge of Cloud data ecosystems, AWS infrastructure or modern analytical data warehouses.
- Lifecycle Management: Experience with practices supporting the data management lifecycle, including registration, usage, quality, retention and external data sharing.
- Assurance & Control: Experience executing data management assessments through control performance or engaging with 2nd and 3rd-line business reviews.
Where and how you'll work
This is a permanent position based in our Nottingham office. We embrace a hybrid approach to work. You'll spend three days a week in the office (Tuesday-Thursday), with Monday and Friday being dedicated work-from-home days.
Our offices are designed to inspire and support you. At our Nottingham head office, you'll find an on-site gym, restaurant and dedicated Learning Loft. Our London office boasts a rooftop running track and coffee bar.
What’s in it for you
We invest in the growth of our people alongside our business. You will have extensive opportunities to learn and develop your career, including access to up to £5,000 in funding for external qualifications.
In addition to career development, our comprehensive benefits package is designed to grow with you, ensuring your wellbeing is prioritised at every stage of your career:
- Wealth & Future: Competitive pension and performance-based bonus schemes
- Holidays: Start with 25 days of annual leave, increasing with tenure. Need more? You have the option to buy 5 additional days.
- Health: Access premium care through our private medical insurance.
- Family Support: We champion your milestones with enhanced parental leave.
A full list of our benefits is available here.
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. We value diversity, inclusion and belonging at our core. We empower our associates to do great work by creating an inclusive culture—one that values diverse perspectives, fosters collaboration and encourages innovative ideas—and a place where associates of all backgrounds can thrive by bringing their most authentic selves to work. We call this our Culture of Belonging, and it rests at the heart of our business.
Our associate-led Business Resource Groups were created to help support our diverse population and include over 10 groups across our offices. Because each Business Resource Group is as unique as the population it serves, they offer a range of activities, networking opportunities, special events and learning programmes to associates.
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.
Data Developer in Nottingham 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 Developer in Nottingham
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Data Developer in Nottingham
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at Capital One, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Capital One. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Capital One
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Capital One!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
