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- Tasks: Lead Data Science teams and optimise lending products while mentoring your team.
- 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 the financial sector.
- Qualifications: 5+ years in data science, team management, and skills in Python and SQL.
- Other info: Collaborative environment with exciting projects as the business scales.
The predicted salary is between 48000 - 72000 £ per year.
A financial wellbeing platform provider in Greater London is seeking an experienced Data Science Manager to lead the Data Science and Decision Systems teams. You'll shape strategy and mentor your team while diving into hands-on project work. Initially focusing on optimizing core lending products, you'll also collaborate with various teams as the business scales.
Ideal candidates will have:
- 5+ years in data science
- Team management experience
- Proficiency in Python and SQL
This role includes a hybrid working arrangement and generous benefits.
Hybrid Data Science Manager – Credit Risk & Strategy in London employer: Salary Finance
Contact Detail:
Salary Finance Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Hybrid Data Science Manager – Credit Risk & Strategy in London
✨Tip Number 1
Network like a pro! Reach out to connections in the finance and data science sectors. Attend meetups or webinars, and don’t be shy about asking for introductions – you never know who might have the inside scoop on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects, especially those related to credit risk and strategy. 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 Python and SQL skills. Be ready to discuss how you've used these tools in past roles, especially in team management and project optimisation. Practice common interview questions to boost your confidence!
✨Tip Number 4
Apply through our website! We make it easy for you to submit your application directly. Plus, it shows you're genuinely interested in joining our team. Don’t forget to tailor your application to highlight your experience in leading teams and optimising lending products.
We think you need these skills to ace Hybrid Data Science Manager – Credit Risk & Strategy in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experience mentioned in the job description. Highlight your 5+ years in data science and any team management roles you've had. We want to see how you fit into our vision!
Showcase Your Technical Skills: Since proficiency in Python and SQL is key for this role, don’t forget to include specific projects or experiences where you’ve used these languages. We love seeing real examples of your work!
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about financial wellbeing and how you can contribute to optimising our lending products. This is your chance to show your personality and enthusiasm!
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!
How to prepare for a job interview at Salary Finance
✨Know Your Data Science Stuff
Make sure you brush up on your data science fundamentals, especially in Python and SQL. Be ready to discuss specific projects you've worked on, particularly those related to credit risk and lending products. This will show that you not only have the technical skills but also the relevant experience.
✨Showcase Your Leadership Skills
As a Data Science Manager, you'll need to demonstrate your ability to lead and mentor a team. Prepare examples of how you've successfully managed teams in the past, focusing on your approach to strategy and collaboration. Highlight any instances where you've helped your team grow or overcome challenges.
✨Understand the Business Context
Familiarise yourself with the financial wellbeing platform and its core lending products. Understanding the business model and how data science can optimise these products will set you apart. Be prepared to discuss how you would approach strategy development in this context.
✨Ask Insightful Questions
Interviews are a two-way street, so come armed with thoughtful questions about the company’s vision, team dynamics, and future projects. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.
