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- Tasks: Lead a team to develop ML models for real-time payments and manage algorithm lifecycles.
- Company: A top payment solutions company in the UK with a focus on innovation.
- Benefits: Hybrid work options, comprehensive wellbeing support, and competitive salary.
- Why this job: Make an impact in the fast-paced world of payments with advanced data and AI solutions.
- Qualifications: 2+ years in management, strong Python and SQL skills, and experience in complex data environments.
- Other info: Mentor talented Data Scientists and influence strategic decisions in a dynamic setting.
The predicted salary is between 48000 - 72000 £ per year.
A leading payment solutions company in the UK is seeking a Data Science Manager to lead a team in developing ML models for real-time payments. You will manage the end-to-end lifecycle of algorithms, mentor Data Scientists, and influence strategic decisions.
With a focus on advanced data and AI solutions, the ideal candidate possesses:
- 2+ years of experience in management
- Strong expertise in Python and SQL
- Familiarity in complex data environments
Enjoy hybrid work options and comprehensive wellbeing support.
Data Science Manager: Real-Time Payments & ML Leadership in London employer: GoCardless
Contact Detail:
GoCardless Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science Manager: Real-Time Payments & ML Leadership in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your ML models and data projects. This is your chance to demonstrate your expertise in Python and SQL, and it’ll make you stand out when chatting with hiring managers.
✨Tip Number 3
Prepare for those interviews! Brush up on common data science questions and be ready to discuss your management experience. We recommend practising with a friend or using mock interview platforms to build your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Data Science Manager: Real-Time Payments & ML Leadership in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in managing teams and developing ML models. We want to see how your skills in Python and SQL shine through, so don’t hold back on showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you’re the perfect fit for the Data Science Manager role. Share your passion for real-time payments and how your leadership style can influence strategic decisions within our team.
Showcase Your Achievements: When detailing your past experiences, focus on specific achievements that demonstrate your ability to manage the end-to-end lifecycle of algorithms. We love numbers, so if you can quantify your successes, even better!
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 innovative team!
How to prepare for a job interview at GoCardless
✨Know Your Algorithms
Brush up on your knowledge of machine learning algorithms, especially those relevant to real-time payments. Be ready to discuss how you've implemented these in past projects and the impact they had. This shows you’re not just familiar with theory but can apply it practically.
✨Showcase Your Leadership Skills
Prepare examples that highlight your management experience. Think about times when you mentored team members or influenced strategic decisions. This will demonstrate your capability to lead a team effectively and align with the company's goals.
✨Get Comfortable with Data Tools
Since the role requires strong expertise in Python and SQL, make sure you can talk confidently about your experience with these tools. Consider discussing specific projects where you used them to solve complex data problems, as this will show your technical prowess.
✨Emphasise Your Adaptability
With hybrid work options, companies are looking for candidates who can thrive in different environments. Share experiences where you successfully adapted to changing circumstances or worked remotely, highlighting your flexibility and commitment to team success.
