Data Scientist / Statistician (Model Developer) in Nottingham
Data Scientist / Statistician (Model Developer)

Data Scientist / Statistician (Model Developer) in Nottingham

Nottingham Full-Time 50000 - 65000 £ / year (est.) No home office possible
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Capital One

At a Glance

  • Tasks: Develop machine learning models and generate insights from complex data.
  • Company: Join a leading tech company transforming the banking industry.
  • Benefits: Enjoy competitive pay, flexible working, and extensive training opportunities.
  • Other info: Diverse and inclusive workplace with strong career progression.
  • Why this job: Make a real impact in financial services with innovative data solutions.
  • Qualifications: Experience in statistics, machine learning, and coding in Python.

The predicted salary is between 50000 - 65000 £ per year.

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.

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.

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.

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. 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 Nottingham employer: Capital One

Capital One is an exceptional employer, offering a dynamic work environment in Nottingham that fosters collaboration and innovation. With a strong commitment to employee development through extensive training programmes and a focus on diversity and inclusion, associates can thrive both personally and professionally. The hybrid working model, along with modern office amenities such as a fully-serviced gym and mindfulness rooms, ensures a balanced and supportive workplace for all employees.
Capital One

Contact Detail:

Capital One Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Scientist / Statistician (Model Developer) in Nottingham

✨Tip Number 1

Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.

✨Tip Number 2

Prepare for interviews by practising common questions and showcasing your skills. Use real-life examples from your experience with data science and machine learning to demonstrate your expertise. Remember, confidence is key!

✨Tip Number 3

Don’t just apply and wait! Follow up on your applications after a week or so. A quick email expressing your continued interest can set you apart from other candidates and show your enthusiasm for the role.

✨Tip Number 4

Check out our website for the latest job openings and apply directly. We love seeing candidates who are proactive and genuinely interested in joining our team. Plus, it’s a great way to get your application noticed!

We think you need these skills to ace Data Scientist / Statistician (Model Developer) in Nottingham

Machine Learning
Feature Engineering
Statistical Analysis
Model Risk Management
Deep Learning
Data Manipulation
Python Programming
Communication Skills
Business Acumen
Curiosity
Insight Generation
Cross-Functional Collaboration
Problem-Solving Skills
Adaptability

Some tips for your application 🫡

Tailor Your Application: Make sure to customise your CV and cover letter for 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!

Show Off Your Stats Skills: Since this role involves a strong grounding in statistics, don’t shy away from showcasing your statistical knowledge. Include specific examples of how you've applied statistical methods in past projects. We love seeing that natural curiosity and analytical mindset!

Be Clear and Concise: When writing your application, keep it clear and to the point. Use straightforward language to explain your experiences and achievements. We appreciate a well-structured application that makes it easy for us to see your potential!

Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, you’ll find all the details about the role and our company culture there!

How to prepare for a job interview at Capital One

✨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 how these datasets can be manipulated and analysed to extract insights. This will not only show your expertise but also your genuine interest in the role.

✨Showcase Your Statistical Skills

Be prepared to discuss your understanding of statistics and machine learning. Brush up on key concepts like feature engineering and model risk management. You might even want to bring examples of past projects where you applied these skills, as this will demonstrate your practical experience.

✨Communicate Clearly and Confidently

Since the role involves influencing a diverse audience, practice explaining complex statistical concepts in simple terms. Use clear examples to illustrate your points. This will help you connect with your interviewers and show that you can bridge the gap between technical and non-technical stakeholders.

✨Ask Insightful Questions

Prepare thoughtful questions about the company's data strategy and how the Data Science team collaborates with other departments. This shows your curiosity and proactive engagement, which are qualities they value. Plus, it gives you a chance to assess if the company culture aligns with your values.

Data Scientist / Statistician (Model Developer) in Nottingham
Capital One
Location: Nottingham
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