About the job
Join GoCardless: Where Innovation Meets Payment Solutions
At GoCardless, we are revolutionizing the way businesses manage payments. As a globally recognized bank payment platform, we empower over 100,000 businesses, from dynamic start-ups to established names, to effortlessly collect and send payments through direct debit, real-time solutions, and cutting-edge open banking.
Our platform processes an impressive US$130bn+ in payments each year, spanning 30+ countries. We simplify the collection of both recurring and one-off payments, eliminating the hassle of chasing payments while minimizing costs. Leveraging AI-driven technology, we enhance payment success rates and combat fraud, helping our customers make swift, informed financial decisions with access to over 2,500 banking partners.
Headquartered in the UK with offices in London and Leeds, we have expanded our reach to locations in Australia, France, Ireland, Latvia, Portugal, and the United States.
At GoCardless, we prioritize your support! Our hiring process is designed to be inclusive and accessible. If you require additional assistance or adjustments, please connect with your Talent Partner , we are here to assist you!
If this role excites you, we encourage you to apply!
Your Role
Data is at the heart of our mission, driving our capability to deliver intelligent, high-value payment solutions. As the Data Science Manager on our Payment Intelligence team, you will collaborate with Software Engineers, Product Managers, and Designers to transform visionary ideas into impactful solutions. You will oversee the complete lifecycle of our algorithms, from conception to production, ensuring they effectively power our global payment network.
Our technology stack is anchored in Google Cloud Platform and Vertex AI, creating an environment ripe for innovation. Our Data Scientists harness the power of Python, SQL, and BigQuery to build and deploy scalable, high-performance models.
What You Will Do
- Lead and mentor a talented team of Data Scientists, fostering a culture of technical excellence and supporting their career growth.
- Supervise the development and optimization of algorithms that enhance payment solutions and mitigate fraud.
- Collaborate cross-functionally to integrate data-driven insights into product offerings.
