Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead the development of advanced credit risk models using machine learning techniques.
- Company: Join a forward-thinking company focused on innovation in financial services.
- Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
- Other info: Hybrid role based in Northampton with a collaborative team environment.
- Why this job: Make a significant impact in credit risk management while working with cutting-edge technology.
- Qualifications: Master's degree in a quantitative field and strong predictive modelling experience.
The predicted salary is between 80000 - 120000 £ per year.
Martin Veasey Talent Solutions is seeking a Senior Machine Learning Data Scientist specializing in credit risk for a hybrid role in Northampton. The position offers an attractive salary of £80,000-£120,000, with flexibility up to £150,000 for exceptional candidates.
You will own a high-performing credit risk model, utilizing advanced machine learning techniques in a collaborative environment.
A Master's degree or equivalent in a quantitative field is preferred, alongside strong experience in building and optimizing predictive models.
Senior ML Data Scientist - Credit Risk, Hybrid employer: Martin Veasey Talent Solutions
Contact Detail:
Martin Veasey Talent Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior ML Data Scientist - Credit Risk, Hybrid
✨Tip Number 1
Network like a pro! Reach out to professionals in the credit risk and machine learning fields on LinkedIn. Join relevant groups and participate in discussions to get your name out there.
✨Tip Number 2
Showcase your skills! Create a portfolio of your best predictive models and projects. This will give potential employers a taste of what you can do and set you apart from the competition.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts in simple terms, as communication is key in collaborative environments.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you, and applying directly can sometimes give you an edge in the hiring process.
We think you need these skills to ace Senior ML Data Scientist - Credit Risk, Hybrid
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in building and optimising predictive models, especially in credit risk. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about credit risk and how your background makes you the perfect fit for our team. Keep it engaging and personal – we love to see your personality!
Showcase Your Technical Skills: Since this role involves advanced machine learning techniques, make sure to mention any specific tools or frameworks you’ve worked with. We’re keen to know how you’ve applied these skills in real-world scenarios, so give us the details!
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 you’ll be all set!
How to prepare for a job interview at Martin Veasey Talent Solutions
✨Know Your Models Inside Out
Make sure you can discuss the credit risk models you've worked on in detail. Be prepared to explain your approach to building and optimising predictive models, as well as any challenges you faced and how you overcame them.
✨Brush Up on Machine Learning Techniques
Since this role focuses on advanced machine learning techniques, review key concepts and algorithms relevant to credit risk. Be ready to discuss how you’ve applied these techniques in real-world scenarios, showcasing your expertise.
✨Showcase Your Collaborative Spirit
This position is in a collaborative environment, so highlight your teamwork skills. Share examples of how you've successfully worked with cross-functional teams to deliver high-performing models and how you handle feedback.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare insightful questions about their current projects, team dynamics, and future goals. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.