At a Glance
- Tasks: Develop machine learning models and generate insights from complex data.
- Company: Join Capital One, a leader in the financial tech space.
- Benefits: Enjoy pension schemes, bonuses, and private medical insurance.
- Other info: Permanent position with a hybrid working model and great career growth.
- Why this job: Make an impact by working with cutting-edge data in Open Banking.
- Qualifications: Strong expertise in probability, statistics, and experience with relevant data.
The predicted salary is between 40000 - 50000 € per year.
Capital One is looking for a Data Scientist / Statistician in Nottingham to develop machine learning models and generate insights from complex data.
Responsibilities include:
- Maintaining models
- Categorising data
- Applying statistical tests to support business initiatives
Strong expertise in probability, statistics, and experience with Open Banking or Credit Bureau data is essential.
This is a permanent position with a hybrid working model, offering benefits like pension schemes, bonuses, and private medical insurance.
Data Scientist & Statistician — Model Developer (Open Banking) in Nottingham employer: Capital One
At Capital One, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of Nottingham. Our commitment to employee growth is evident through continuous learning opportunities and a supportive environment, complemented by attractive benefits such as pension schemes, bonuses, and private medical insurance. Join us to make a meaningful impact in the world of Open Banking while enjoying the flexibility of a hybrid working model.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist & Statistician — Model Developer (Open Banking) in Nottingham
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at Capital One. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your machine learning models and statistical analyses. This is your chance to shine and demonstrate how you can generate insights from complex data.
✨Tip Number 3
Practice makes perfect! Brush up on your probability and statistics knowledge. You never know when a tricky question might pop up during an interview, so be ready to impress with your expertise.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Data Scientist & Statistician — Model Developer (Open Banking) in Nottingham
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with machine learning models and statistical analysis. We want to see how your skills align with the role, so don’t be shy about showcasing your expertise in probability and statistics!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about data science and how your background in Open Banking or Credit Bureau data makes you a perfect fit for us at StudySmarter.
Showcase Relevant Projects:If you've worked on any projects related to model development or data categorisation, make sure to mention them. We love seeing real-world applications of your skills, so include any relevant examples that demonstrate your capabilities.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates regarding your application status!
How to prepare for a job interview at Capital One
✨Know Your Data Inside Out
Make sure you’re well-versed in the types of data you'll be working with, especially Open Banking and Credit Bureau data. Brush up on your statistical knowledge and be ready to discuss how you’ve applied these concepts in real-world scenarios.
✨Showcase Your Model Development Skills
Prepare to talk about specific machine learning models you've developed. Be ready to explain your thought process, the challenges you faced, and how you overcame them. This will demonstrate your hands-on experience and problem-solving abilities.
✨Understand Their Business Needs
Research Capital One’s business initiatives and think about how your skills can support their goals. Tailor your answers to show that you understand their needs and can contribute effectively to their projects.
✨Practice Statistical Tests
Since applying statistical tests is a key part of the role, brush up on your knowledge of various tests and when to use them. Be prepared to answer questions or even solve problems on the spot to showcase your expertise.
