GoCardless is a global bank payment company that is looking for a Senior Data Scientist to join its Fraud Prevention team. The role involves working on predictive models to prevent and detect merchant fraud, collaborating with engineers and fraud analysts, and developing solutions to reduce false positives and automate controls.
Requirements
- Degree (or PhD) in a STEM discipline or equivalent commercial experience
- Experience in deploying predictive models and data products in production with quantifiable impact
- Ability to translate complex ML concepts into practical product solutions and communicate these ideas clearly to non-technical peers
- Experience with writing and maintaining code to a production-level standard
- Comfortable contributing across the full model lifecycle, from deep-dive analysis and feature engineering to prototyping, validation, and live A/B testing
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