Data Science Manager (Fintech)

TL;DR

Data Science Manager (Fintech): Managing and mentoring a high-performing team of Data Scientists, overseeing the end-to-end lifecycle of mission-critical ML models that power real-time payment decisions with an accent on fraud prevention and payment optimization at scale. Focus on building production-grade ML models on GCP and Vertex AI to drive fintech innovation.

Location: Hybrid working model with in-office days determined by your team. Headquartered in the UK with offices in London and Leeds, and additional locations in Australia, France, Ireland, Latvia, Portugal and the United States.

Salary: £99,200 - £148,800

Company

hirify.global is a global bank payment company that processes US$130bn+ of payments annually across 30+ countries, using AI-powered solutions to improve payment success and reduce fraud.

What you will do

• Manage and mentor a high-performing team of Data Scientists, fostering a culture of technical excellence and supporting their long-term career development.
• Oversee the end-to-end lifecycle of mission-critical ML models that power real-time payment decisions.
• Shape the strategic roadmap for the Payment Intelligence space, translating complex data challenges into actionable, high-impact goals.
• Drive cross-functional impact by working closely across disciplines to build end-to-end technical solutions, from concept to production.
• Influence Senior Leadership by acting as the bridge between technical complexity and business value, communicating ML strategy to senior stakeholders.

Requirements

• 2+ years managing Data Scientists within complex, high-stakes domains.
• A hands-on leader comfortable diving into the codebase with strong expertise in Python and SQL.
• Experience in overseeing the full lifecycle of a model, from initial prototype to robust production deployment.
• A decisive collaborator who can navigate technical trade-offs and translate complex ML concepts for cross-functional stakeholders and leadership.
• Familiarity with complex data environments and model architectures, such as deep learning (experience in Fintech, Fraud Prevention, or Payments is a big plus).

Culture & Benefits

• Hybrid Working: Our hybrid model offers flexibility, with in-office days determined by your team.
• Work Away Scheme: Work from anywhere for up to 90 days in any 12-month period.
• Wellbeing: Dedicated support and medical cover to keep you healthy.
• 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.