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- Tasks: Design and maintain machine learning models for credit scoring in a dynamic fintech environment.
- Company: VC-backed financial technology company based in Newcastle upon Tyne.
- Benefits: Competitive holidays, performance-based pay increases, and continuous learning opportunities.
- Other info: Collaborate with software engineers and own model lifecycle management.
- Why this job: Join a cutting-edge team and make a real impact in the world of Open Banking.
- Qualifications: Over 5 years of experience in data science, preferably with Open Banking data.
The predicted salary is between 43200 - 72000 £ per year.
A VC-backed financial technology company in Newcastle upon Tyne seeks an experienced Data Scientist. The role involves designing, building, and maintaining machine learning models for credit scoring. You will collaborate with software engineers and own model lifecycle management.
The ideal candidate has over 5 years of experience, preferably with Open Banking data. This position offers learning opportunities, competitive holidays, and performance-based pay increases.
Senior Data Scientist: Open Banking Credit Risk & ML Production employer: Noggin HQ
Contact Detail:
Noggin HQ Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist: Open Banking Credit Risk & ML Production
✨Tip Number 1
Network like a pro! Reach out to folks in the fintech space, especially those working with Open Banking. A friendly chat can lead to insider info about job openings or even a referral.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your machine learning models and credit scoring projects. This will give you an edge during interviews and demonstrate your hands-on experience.
✨Tip Number 3
Practice makes perfect! Brush up on your technical skills and be ready for coding challenges. We recommend using platforms that simulate real interview scenarios to get comfortable with the process.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive and eager to join our team.
We think you need these skills to ace Senior Data Scientist: Open Banking Credit Risk & ML Production
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with machine learning models and credit scoring. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects you've worked on!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about Open Banking and how your background makes you a perfect fit for our team. Keep it engaging and personal – we love to see your personality!
Showcase Your Collaboration Skills: Since you'll be working closely with software engineers, highlight any past experiences where you've successfully collaborated on projects. We value teamwork, so let us know how you can contribute to a positive working environment!
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’re considered for the role. Plus, it’s super easy – just follow the prompts and submit your materials!
How to prepare for a job interview at Noggin HQ
✨Know Your Models Inside Out
Make sure you can discuss the machine learning models you've built in detail. Be prepared to explain your approach to credit scoring and how you've used Open Banking data in your previous projects. This shows your expertise and helps you stand out.
✨Collaborate Like a Pro
Since you'll be working closely with software engineers, brush up on your collaboration skills. Think of examples where you've successfully worked in a team to deliver a project. Highlight how you communicate complex data science concepts to non-technical colleagues.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in model lifecycle management. Share how you approached these problems and the solutions you implemented. This will demonstrate your critical thinking and adaptability in a fast-paced environment.
✨Ask Insightful Questions
At the end of the interview, have some thoughtful questions ready about the company's approach to credit risk and their use of Open Banking data. This not only shows your interest but also gives you a chance to assess if the company aligns with your career goals.