Jobs at GoCardless

Serve as the first point of contact for English- and French-speaking users and partners through email, chat, and phone. Resolve product and payment queries, support customer onboarding, verify new accounts, and help users navigate the platform safely. Investigate issues collaboratively with Payment Operations, Engineering, and Customer Success teams while contributing process improvement ideas and developing expertise in bank payments, Direct Debit, and open banking.

Manages and mentors Data Scientists while overseeing the full lifecycle of production machine learning models for real-time payment decisions. The role shapes the Payment Intelligence roadmap, partners with engineering, product, and design teams, and communicates ML strategy to senior leadership. Responsibilities include building scalable models using Python, SQL, BigQuery, Google Cloud Platform, and Vertex AI, with applications in fraud prevention and payment optimization.

Manage and mentor Data Scientists while overseeing the full lifecycle of machine learning models used for real-time payment decisions. Shape the Payment Intelligence roadmap, guide production-grade model development on GCP and Vertex AI, collaborate with engineering, product, and design teams, and communicate ML strategy and business value to senior leadership. The role focuses on fraud prevention, payment optimization, and scalable fintech innovation.

Manages and mentors Data Scientists while overseeing the full lifecycle of machine learning models powering real-time payment decisions. Defines the Payment Intelligence roadmap, translates complex data challenges into business goals, and partners with engineering, product, and design teams to deliver production solutions. Communicates ML strategy and technical trade-offs to senior leadership. The role requires hands-on expertise in Python, SQL, cloud-based ML, and complex model architectures, with payments or fraud prevention experience preferred.

Leads a cross-functional engineering team building machine-learning and AI-powered payment intelligence products. Owns product delivery, quality, operations, technical direction, prioritization, stakeholder management, and technical investment. Develops engineers through hiring, feedback, coaching, and career development while maintaining high standards for system reliability and implementation. Collaborates closely with product management, design, data science, and commercial teams.

Leads a cross-functional engineering team building payment intelligence products using machine learning and AI. Owns product delivery, quality, operations, technical standards, prioritization, experimentation, and stakeholder expectations. Manages engineers, a designer, and data scientists while hiring, coaching, and developing team members. Requires hands-on coding experience with Python, Ruby on Rails, JavaScript, and React, plus strong communication, collaboration, and ownership.

Leads a cross-functional engineering team building machine learning and AI-powered payment intelligence products. Owns product quality, delivery, operations, technical standards, prioritization, experimentation, and stakeholder expectations. Manages engineers, supports hiring and career development, and collaborates with product managers, designers, data scientists, and commercial teams. Contributes technical expertise across backend and frontend development while fostering reliable, well-tested systems and a strong culture of experimentation.

Serve as the primary technical lead for prospective and existing merchant engagements. Partner with sales to qualify, shape, close, and support opportunities; conduct technical discovery; architect solution designs; and create product demonstrations. Collaborate with product, implementation, and customer success teams on improvements, integrations, and smooth client delivery. Translate complex technical concepts for nontechnical audiences while supporting payment platform integrations.

Serves as the primary technical lead for prospective and existing merchant engagements. Partners with sales to qualify, shape, close, and support opportunities; delivers product demonstrations; performs technical discovery; and designs integration solutions. Collaborates with product, implementation, and customer success teams to improve products and ensure successful client journeys. Requires pre- or post-sales solution engineering experience, API expertise, programming ability, payment integration experience, and strong technical communication skills.

As a Senior Data Scientist, you will lead the development of algorithms for payment solutions, working with cross-functional teams to enhance fraud prevention and payment success, utilizing advanced machine learning techniques.

Lead the delivery of ML models, collaborate with teams on fraud prevention solutions, and drive innovation through the integration of advanced architectures.

Leads the Connectivity engineering group responsible for core banking connections and payment file submissions. Owns the technical roadmap, reliability, delivery, architecture, and operational excellence while managing managers and senior individual contributors. Serves as engineering site leader for the Riga hub, helping attract, develop, and retain local talent and strengthening the engineering culture. This is an on-site, player-manager role requiring strategic leadership and technical depth.

Build and maintain scalable data infrastructure, including data models, ETL/ELT pipelines, orchestration, cloud architectures, quality controls, and governance. Collaborate with engineers, analysts, data scientists, AI/ML teams, and business stakeholders to transform data into actionable insights. Responsibilities also include optimizing systems, documenting solutions, adopting new technologies, and supporting engineering best practices in a fintech environment.

Build and maintain scalable data infrastructure, including data models, ETL/ELT pipelines, cloud architectures, orchestration, quality checks, and governance processes. Collaborate with engineers, analysts, data scientists, AI/ML teams, and business stakeholders to deliver reliable data solutions. Responsibilities also include troubleshooting, performance optimization, documentation, knowledge sharing, and evaluating improvements to data engineering practices and technologies.

Manages technical relationships with B2B merchants throughout integration, onboarding, optimization, and expansion. Provides API and webhook integration consultancy, monitors technical health, troubleshoots payment issues, leads remediation plans, runs technical reviews and workshops, maintains architecture documentation, and partners with Customer Success, Product, Engineering, and Support teams to improve merchant retention and platform adoption.

Manage a UK and Ireland customer portfolio, driving adoption, retention, expansion, and revenue growth. Own customer lifecycle milestones, account plans, forecasting, renewals, risk mitigation, and commercial success. Build relationships with executives, champions, and users while partnering with sales, account management, professional services, advocacy, and renewal teams to deliver customer value and increase usage of GoCardless payment solutions.

Lead data-driven analysis of fraud and financial crime risks across the customer lifecycle. Analyze large datasets using SQL, Python, statistical methods, and BI tools to identify threats, risk concentrations, control performance, and improvement opportunities. Translate complex findings into actionable insights, influence cross-functional stakeholders, develop analytical frameworks, validate hypotheses, and inform strategy and investment priorities across fraud prevention, transaction monitoring, sanctions screening, and customer risk management.

Work on platform engineering to build, automate and maintain cloud infrastructure and platform components; support operational excellence through on-call rotations, incident management, CI/CD, monitoring, and BAU; collaborate with engineering and data teams to design secure, scalable systems and reduce operational toil.

As a Product Analyst, you will utilize data insights to help improve payment intelligence products, work with stakeholders, and drive product direction through data-led recommendations.

As a Product Analyst at GoCardless, you'll provide data insights to influence product direction and drive change. Collaborating with various teams, you'll analyze data sets, build user models, and enhance payment intelligence products, ensuring data-driven decision-making and scalability in analytics practices.