TL;DR
Senior Data Scientist (AI/Fintech): Developing and deploying predictive models for fraud prevention within a global bank payment platform with an accent on end-to-end ML solution delivery, from feature engineering to production-grade deployment. Focus on reducing false positives, automating controls, and scaling ML products on GCP.
Location: This role is based in Lisbon, Portugal, with a hybrid working model requiring in-office days determined by your team. A 'Work Away Scheme' allows working from anywhere for up to 90 days in any 12-month period.
Salary: €43,200–€64,800
Company
hirify.global is a global bank payment company, processing over US$130bn+ of payments annually across 30+ countries, using AI-powered solutions to improve payment success and reduce fraud.
What you will do
- 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 life the latest developments in ML and payer fraud prevention to drive innovation at hirify.global.
Requirements
- Hold a degree (or PhD) in a STEM discipline or equivalent commercial experience.
- Track record of deploying predictive models and data products in production with quantifiable impact (experience in Fintech, Fraud Prevention, or Payments is a plus).
- Ability to translate complex ML concepts into practical product solutions and communicate these ideas clearly to non-technical peers.
- Experienced with writing and maintaining code to a production-level standard, supporting the team with code reviews.
- Comfortable contributing across the full model lifecycle, from deep-dive analysis and feature engineering to prototyping, validation, and live A/B testing.
Culture & Benefits
- Dedicated support and medical cover for wellbeing.
- Work Away Scheme: Work from anywhere for up to 90 days in any 12-month period.
- Hybrid Working model offers flexibility, with in-office days determined by your team.
- All permanently employed GeeCees get equity to share in our success.
- Tailored parental leave to support life's great adventure.
- Annual holiday leave based on your location, supplemented by 3 volunteer days and 4 wellness days.
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