At a Glance
- Tasks: Develop machine learning models and generate insights from diverse data.
- Company: Join Capital One UK, a leader in financial technology.
- Benefits: Enjoy a pension scheme, private medical insurance, and professional development.
- Other info: Flexible hybrid working model for a balanced work-life experience.
- Why this job: Make an impact in finance with cutting-edge data science techniques.
- Qualifications: Strong statistics background, Python experience, and knowledge of Open Banking or Credit Bureau data.
The predicted salary is between 40000 - 50000 £ per year.
Capital One UK is seeking a Data Scientist/Statistician to develop machine learning models and generate insights from diverse data types. This role, based in Nottingham, involves working collaboratively to drive key initiatives.
The ideal candidate will have a strong grounding in statistics, experience with Python, and familiarity with Open Banking or Credit Bureau data.
The position includes a hybrid working model, offering flexibility in office attendance.
Benefits offered include a pension scheme, private medical insurance, and thorough professional development opportunities.
Hybrid Data Scientist — Financial ML Model Developer in Nottingham employer: Capital One UK
Capital One UK is an excellent employer, offering a dynamic work culture that fosters collaboration and innovation in the heart of Nottingham. With a strong emphasis on professional development, employees benefit from comprehensive training programmes and mentorship opportunities, alongside a flexible hybrid working model that promotes work-life balance. The generous benefits package, including a pension scheme and private medical insurance, further enhances the rewarding experience of being part of a forward-thinking financial services team.
StudySmarter Expert Advice🤫
We think this is how you could land Hybrid Data Scientist — Financial ML Model Developer in Nottingham
✨Tip Number 1
Network like a pro! Reach out to current employees at Capital One UK on LinkedIn. A friendly chat can give us insider info and maybe even a referral, which can really boost our chances.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your machine learning projects, especially those involving financial data. This will help us stand out during interviews and demonstrate our hands-on experience.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on Python and statistics. We can find mock interview resources online to simulate the real deal and build our confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure our application gets noticed. Plus, we can tailor our application to highlight how our skills align with the role of a Data Scientist at Capital One UK.
We think you need these skills to ace Hybrid Data Scientist — Financial ML Model Developer in Nottingham
Some tips for your application 🫡
Show Off Your Stats Skills:Make sure to highlight your grounding in statistics in your application. We want to see how you’ve used statistical methods in real-world scenarios, especially if it relates to machine learning or financial data.
Python Proficiency is Key:Since Python is a big part of this role, don’t hold back on showcasing your coding skills. Include specific projects or experiences where you’ve used Python to develop models or analyse data.
Familiarity with Financial Data Matters:If you’ve worked with Open Banking or Credit Bureau data, make sure to mention it! We’re keen to see how your experience aligns with the financial aspects of the role.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It’s the best way for us to receive your application and get to know you better!
How to prepare for a job interview at Capital One UK
✨Know Your Stats
Brush up on your statistics knowledge! Be ready to discuss statistical concepts and how they apply to machine learning. Prepare examples of how you've used statistics in past projects, especially in relation to financial data.
✨Python Proficiency
Make sure you're comfortable with Python, as it's crucial for this role. Review common libraries like Pandas, NumPy, and Scikit-learn. You might be asked to solve a coding problem, so practice writing clean, efficient code.
✨Familiarise with Open Banking
Since the job involves Open Banking or Credit Bureau data, do some research on these topics. Understand how they work and think about how you could leverage this data in your machine learning models.
✨Collaborative Mindset
This role emphasises collaboration, so be prepared to discuss your experience working in teams. Think of examples where you contributed to group projects and how you handled differing opinions or challenges.
