Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead teams to develop credit risk models and improve operational processes.
- Company: A leading financial wellbeing platform in Greater London.
- Benefits: Hybrid working, generous benefits, and opportunities for professional growth.
- Why this job: Shape strategy and make a real impact in financial wellbeing.
- Qualifications: 5+ years in Data Science with strong leadership and Python/SQL skills.
- Other info: Join a dynamic team focused on innovation and excellence.
The predicted salary is between 48000 - 72000 £ per year.
A financial wellbeing platform in Greater London is seeking a Data Science Manager to lead the Data Science and Decision Systems teams. The role involves shaping strategy, mentoring, and hands-on project delivery focused on developing credit risk models and enhancing operational processes.
Candidates should have strong leadership experience, over 5 years in Data Science, and proficiency in Python and SQL. This position offers a hybrid working environment and generous company benefits.
Data Science Manager: Credit Risk & Financial Wellbeing employer: Salary Finance
Contact Detail:
Salary Finance Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science Manager: Credit Risk & Financial Wellbeing
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at local meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that Data Science Manager role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to credit risk models and operational processes. We want to see your hands-on experience with Python and SQL in action!
✨Tip Number 3
Prepare for interviews by brushing up on leadership scenarios. Think about how you’ve mentored others and shaped strategies in past roles. We need to see that you can lead our Data Science and Decision Systems teams effectively.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Data Science Manager: Credit Risk & Financial Wellbeing
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in Data Science, especially in credit risk and financial wellbeing. We want to see how your skills in Python and SQL shine through, so don’t hold back!
Craft a Compelling Cover Letter: Your cover letter is your chance to show us your personality and passion for the role. Share specific examples of your leadership experience and how you've successfully delivered projects in the past.
Showcase Your Strategic Thinking: In your application, emphasise your ability to shape strategy and mentor teams. We’re looking for someone who can not only lead but also inspire others to excel in their roles.
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 this exciting opportunity in our hybrid working environment.
How to prepare for a job interview at Salary Finance
✨Know Your Data Science Stuff
Make sure you brush up on your data science knowledge, especially around credit risk models and operational processes. Be ready to discuss your past projects in detail, showcasing your proficiency in Python and SQL. This will demonstrate your technical expertise and how it aligns with the role.
✨Showcase Your Leadership Skills
As a Data Science Manager, leadership is key. Prepare examples of how you've successfully led teams or mentored others in your previous roles. Highlight specific situations where your leadership made a difference in project outcomes or team dynamics.
✨Understand the Company’s Mission
Research the financial wellbeing platform and understand its mission and values. Be prepared to discuss how your vision for data science can contribute to their goals. This shows that you’re not just looking for any job, but that you genuinely care about their mission.
✨Prepare Questions to Ask
Interviews are a two-way street! Prepare thoughtful questions about the company culture, team dynamics, and future projects. This not only shows your interest but also helps you gauge if the company is the right fit for you.
