Data Scientist / Statistician (Model Developer) in Coventry

Data Scientist / Statistician (Model Developer) in Coventry

Coventry Full-Time 45000 - 55000 £ / year (est.) Home office (partial)
Capital One UK

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, generous holiday, and access to training programmes.
  • Other info: Diverse and inclusive workplace with excellent career progression opportunities.
  • Why this job: Make a real impact in financial services while working with cutting-edge technology.
  • Qualifications: Experience in data science, machine learning, and coding in Python is essential.

The predicted salary is between 45000 - 55000 £ 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 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 sets using deep learning models, particularly for sequential data with Open Banking or Credit Bureau 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.

Data Scientist / Statistician (Model Developer) in Coventry employer: Capital One UK

At Capital One, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters collaboration and innovation. Our Nottingham office provides a hybrid working model, allowing flexibility while ensuring access to state-of-the-art facilities, including a fully-serviced gym and mindfulness rooms. We are committed to employee growth through extensive training programmes and a focus on diversity and inclusion, making it a rewarding place for talented individuals to thrive in their careers.

Capital One UK

Contact Details:

Capital One UK Recruitment Team

StudySmarter Expert Advice🤫

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

Tip Number 1

Network like a pro! Reach out to current employees at Capital One on LinkedIn or through mutual connections. Ask them about their experiences and any tips they might have for landing the Data Scientist role. Personal connections can give you an edge!

Tip Number 2

Prepare for the interview by brushing up on your technical skills. Make sure you can confidently discuss machine learning models, feature engineering, and statistical concepts. Practise explaining complex ideas in simple terms – it’s all about making those insights accessible!

Tip Number 3

Show your passion for data! During interviews, share examples of projects where you've used data to solve real-world problems. This not only showcases your skills but also demonstrates your enthusiasm for the field and how you can add value to the team.

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, it shows you’re genuinely interested in joining our team at Capital One. Let’s get you that interview!

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

Machine Learning
Feature Engineering
Statistical Analysis
Model Risk Management
Python Programming
Data Exploration
Deep Learning

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 your curiosity and proactive approach to problem-solving – we love that!

Showcase Your Projects:If you've worked on any cool projects, especially those involving machine learning or statistical analysis, make sure to include them. We want to see your practical experience and how you’ve tackled real-world problems using data.

Apply Through Our Website:We encourage you to apply through our website for a smooth application process. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from 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 feature engineering techniques and how they can generate insights. This will not only show your expertise but also your genuine interest in the role.

Brush Up on Your Statistics

Make sure you have a solid understanding of probability, statistics, and machine learning concepts. Be prepared to discuss how you've applied these in past projects, particularly in model risk management. This will demonstrate your technical prowess and ability to tackle complex problems.

Showcase Your Coding Skills

Since coding is a big part of this role, practice writing clean and maintainable Python code. Be ready to share examples of your work or even solve coding challenges during the interview. This will highlight your technical skills and adaptability to new languages and technologies.

Communicate Effectively

Prepare to explain your findings and insights in a way that’s accessible to non-technical stakeholders. Practice articulating complex ideas clearly and concisely, as this will be crucial in influencing business decisions. Remember, it’s not just about what you know, but how you share that knowledge!