We are seeking a Senior Data Scientist to join our Fraud Prevention team. The role will involve developing and deploying predictive models to strengthen our fraud defenses and reduce false positives. The successful candidate will work closely with Engineers and Fraud Analysts to deliver ML solutions and collaborate with cross-functional stakeholders to ensure our ML products scale on our GCP stack.
Requirements
- Contribute to the end-to-end delivery of models at scale, from initial discovery and feature engineering to production, A/B testing and continuous monitoring.
- Collaborate with product, engineering and data science peers to turn complex data into real-time, mission-critical fraud prevention solutions.
- Raise the team’s collective bar through hands-on technical leadership and knowledge sharing.
- Help bring to live the latest developments in ML and payer fraud prevention to drive innovation at GoCardless.
Benefits
- Wellbeing: Dedicated support and medical cover to keep you healthy.
- Work Away Scheme: Work from anywhere for up to 90 days in any 12-month period.
- Hybrid Working: Our hybrid model offers flexibility, with in-office days determined by your team.
- Equity: All permanently employed GeeCees get equity to share in our success.
- Parental leave: Tailored leave to support your life's great adventure.
- Time off: Annual holiday leave based on your location, supplemented by 3 volunteer days and 4 wellness days.