Źródło: CrawlJobs

Data Science Manager

GoCardless Riga, Łotwa
Praca stacjonarna

Data publikacji: 03.11.2026

As a Data Science Manager within our Payment Intelligence team, you'll partner with Software Engineers, Product Managers, and Designers to turn big ideas into reality. You'll own the full lifecycle of our algorithms, shaping everything from the initial concept to production-ready code that powers our global payment network. Our stack is centered around Google Cloud Platform and Vertex AI, and our Data Scientists operate at the intersection of Python, SQL, and BigQuery.

Responsibilities

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; Hands-on leader comfortable diving into the codebase with strong expertise in Python and SQL; Ability to oversee the full lifecycle of a model, from initial prototype to robust production deployment; 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

Nice to have

Experience in Fintech, Fraud Prevention, or Payments

Benefits

Wellbeing support and medical cover; Lunch (meal voucher or paid lunch when working from the office, depending on location); Work away scheme allowing up to 20 working days abroad in any 12-month period; Adaptive Working; Parental leave; Annual learning budget; Generous holiday allowance, volunteer days for ERG events, and one day off to move house
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