At a Glance
- Tasks: Lead high-impact predictive modelling projects and enhance the customer credit journey.
- Company: NewDay, a forward-thinking company in Greater London.
- Benefits: Competitive salary, career growth, and a chance to shape innovative solutions.
- Other info: Join a dynamic environment focused on technical excellence and compliance.
- Why this job: Make a real impact in data science and lead a talented team.
- Qualifications: Degree in a quantitative field and extensive data science experience.
The predicted salary is between 70000 - 90000 € per year.
NewDay in Greater London is seeking a Senior Manager, Data Science to lead high-impact predictive modelling projects and contribute to the customer credit journey. You will oversee the delivery of projects from scoping to monitoring, ensuring compliance and technical excellence.
Ideal candidates possess a degree in a quantitative field and extensive experience in data science, with a proven record in team leadership and delivery ownership. Join to help shape innovative data-driven solutions.
Senior Data Science Manager - End-to-End Modelling employer: NewDay
NewDay is an exceptional employer located in Greater London, offering a dynamic work culture that fosters innovation and collaboration. Employees benefit from comprehensive professional development opportunities, competitive remuneration, and a commitment to work-life balance, making it an ideal environment for those looking to make a meaningful impact in the data science field.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Science Manager - End-to-End Modelling
✨Tip Number 1
Network like a pro! Reach out to folks in the data science community, especially those at NewDay. A friendly chat can sometimes open doors that applications alone can't.
✨Tip Number 2
Showcase your projects! When you get the chance to chat with hiring managers, bring up specific predictive modelling projects you've led. This will demonstrate your hands-on experience and leadership skills.
✨Tip Number 3
Prepare for technical interviews by brushing up on your modelling techniques and compliance knowledge. We want you to feel confident discussing your approach to data-driven solutions!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you're genuinely interested in joining the team at NewDay.
We think you need these skills to ace Senior Data Science Manager - End-to-End Modelling
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Senior Data Science Manager role. Highlight your leadership experience and any relevant projects you've led, especially those related to predictive modelling.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about data science and how you can contribute to our customer credit journey. Share specific examples of your past successes in similar roles to make your application stand out.
Showcase Your Technical Skills:Don’t forget to mention the technical tools and methodologies you’re proficient in. We want to see your expertise in data science clearly laid out, so include any relevant programming languages, frameworks, or statistical techniques you've mastered.
Apply Through Our Website:We encourage you to submit your application through our website for the best chance of being noticed. It’s the easiest way for us to keep track of your application and ensure it gets into the right hands!
How to prepare for a job interview at NewDay
✨Know Your Data Science Stuff
Make sure you brush up on your data science fundamentals, especially predictive modelling techniques. Be ready to discuss your past projects in detail, focusing on the methodologies you used and the impact they had on the business.
✨Showcase Your Leadership Skills
As a Senior Manager, you'll need to demonstrate your ability to lead a team effectively. Prepare examples of how you've successfully managed projects and guided your team through challenges, highlighting your approach to fostering collaboration and innovation.
✨Understand the Customer Credit Journey
Familiarise yourself with the customer credit journey and how data science can enhance it. Be prepared to discuss how your work can contribute to improving customer experiences and outcomes, showing that you understand the bigger picture.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company's data strategy, team dynamics, and future projects. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
