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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: Collaborative culture with opportunities for professional growth.
- 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 in Newcastle upon Tyne 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 in Newcastle upon Tyne
✨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! Create a portfolio showcasing your machine learning models and credit scoring projects. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss your experience with model lifecycle management and how you've collaborated with engineers in the past.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are proactive and engaged. Plus, it gives us a chance to see your application in the best light.
We think you need these skills to ace Senior Data Scientist: Open Banking Credit Risk & ML Production in Newcastle upon Tyne
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 or achievements!
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 Technical Skills: Since this role involves a lot of technical work, make sure to mention specific tools and technologies you’ve used in your previous roles. We’re keen to know about your experience with model lifecycle management and any relevant programming languages.
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. Plus, it shows you’re serious about joining our team!
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, including the algorithms you prefer and why. This shows your expertise and helps you stand out.
✨Familiarise Yourself with Open Banking
Since the role involves Open Banking data, brush up on its principles and regulations. Understanding how it impacts credit risk will demonstrate your commitment and readiness to tackle the challenges of the role.
✨Collaborate Like a Pro
Highlight your experience working with software engineers and other teams. Share examples of successful collaborations and how you managed model lifecycle management. This will show that you’re not just a data whiz but also a team player.
✨Prepare Questions That Matter
Think of insightful questions to ask during the interview. Inquire about the company’s approach to machine learning in credit risk or how they envision the future of Open Banking. This shows your genuine interest and helps you gauge if the company is the right fit for you.