Data Analyst II

About us GoCardless, a Mollie company, is a global leader in bank payments. Over 100,000 businesses, from start-ups to household names, use GoCardless to collect, manage and send bank payments through Direct Debit, real-time payments and open banking. With US$130bn+ processed annually across 30+ countries, we handle recurring and one-off payments without the chasing, stress, or expensive fees. Our end-to-end payment platform also features AI-powered solutions to improve payment success and reduce fraud, alongside connections to over 350 platforms businesses use everyday. We are headquartered in the UK, with teams and operations spanning North America, Europe and Asia-Pacific. For more information, please visit www.gocardless.com and follow us on LinkedIn @GoCardless. Mollie is the leading payments and financial services partner for business, rooted in Europe, with global reach. Data at GoCardless You'll sit in our Data and Business Systems group, working with technical and non-technical people across the whole company. You'll be part of a collaborative data engineering team, working closely with analytic engineers, analysts, and business stakeholders to deliver data solutions that scale with our rapidly growing business. We're a large team with an extensive remit, and we expect every member to work with initiative and be driven — holding each other accountable and to a high standard. Joining our team, you'll work alongside people who strive to be the best they can be, on complex projects across GC's data and business systems stack. Our technologies: We endeavour to build simple, reliable systems, and we believe in using the best technology for each task. Technologies we use across GoCardless include Python, Google Cloud Platform, dbt, Airflow, BigQuery, and others. You're not expected to have expertise in all of these — most of our team have picked up tools once they've started working with us. The Role We are looking for a talented Data Engineer to help

About us GoCardless, a Mollie company, is a global leader in bank payments. Over 100,000 businesses, from start-ups to household names, use GoCardless to collect, manage and send bank payments through Direct Debit, real-time payments and open banking. With US$130bn+ processed annually across 30+ countries, we handle recurring and one-off payments without the chasing, stress, or expensive fees. Our end-to-end payment platform also features AI-powered solutions to improve payment success and reduce fraud, alongside connections to over 350 platforms businesses use everyday. We are headquartered in the UK, with teams and operations spanning North America, Europe and Asia-Pacific. For more information, please visit www.gocardless.com and follow us on LinkedIn @GoCardless. Mollie is the leading payments and financial services partner for business, rooted in Europe, with global reach. The role Data sits at the core of our mission. We leverage bank account data to deliver high-value, intelligent payment solutions for our customers, from enhancing payment success rates to driving payer fraud prevention. 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. At GoCardless, our stack is centered around Google Cloud Platform and Vertex AI, providing a high-performance environment for innovation. Our Data Scientists operate at the intersection of Python, SQL, and BigQuery to build and deploy high-performance models at scale. What you’ll 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 str

About us GoCardless, a Mollie company, is a global leader in bank payments. Over 100,000 businesses, from start-ups to household names, use GoCardless to collect, manage and send bank payments through Direct Debit, real-time payments and open banking. With US$130bn+ processed annually across 30+ countries, we handle recurring and one-off payments without the chasing, stress, or expensive fees. Our end-to-end payment platform also features AI-powered solutions to improve payment success and reduce fraud, alongside connections to over 350 platforms businesses use everyday. We are headquartered in the UK, with teams and operations spanning North America, Europe and Asia-Pacific. For more information, please visit www.gocardless.com and follow us on LinkedIn @GoCardless. Mollie is the leading payments and financial services partner for business, rooted in Europe, with global reach. The role Data sits at the core of our mission. We leverage bank account data to deliver high-value, intelligent payment solutions for our customers, from enhancing payment success rates to driving payer fraud prevention. As a Senior Data Scientist 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. At GoCardless, our stack is centered around Google Cloud Platform and Vertex AI, providing a high-performance environment for innovation. Our Data Scientists operate at the intersection of Python, SQL, and BigQuery to build and deploy high-performance models at scale. What you’ll do Lead 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 and engineering peers to turn complex data into real-time, mission-critical fraud prevention sol

About us GoCardless, a Mollie company, is a global leader in bank payments. Over 100,000 businesses, from start-ups to household names, use GoCardless to collect, manage and send bank payments through Direct Debit, real-time payments and open banking. With US$130bn+ processed annually across 30+ countries, we handle recurring and one-off payments without the chasing, stress, or expensive fees. Our end-to-end payment platform also features AI-powered solutions to improve payment success and reduce fraud, alongside connections to over 350 platforms businesses use everyday. We are headquartered in the UK, with teams and operations spanning North America, Europe and Asia-Pacific. For more information, please visit www.gocardless.com and follow us on LinkedIn @GoCardless. Mollie is the leading payments and financial services partner for business, rooted in Europe, with global reach. The role Payment Success helps merchants get paid and keep their cash flow reliable. We predict which payments are likely to fail, recover the money when they do, and protect merchant cash flow across our payment rails. As Engineering Manager, you will lead a cross-functional team of engineers, a designer and data scientists, building intelligent products that use machine learning and AI. You will take ownership of the payment intelligence products we have already built, and work with your team and product manager to decide what we build next. We give teams problems to solve rather than tasks to complete, so you and your team will own what gets built, how it gets built and how success is measured. You will be accountable for the quality, delivery and operation of everything the team ships, and you will look after your people through 1:1s, feedback and career development. You'll step in wherever the team needs you, and earn credibility with senior engineers and data scientists within the team and across product development. What excites you Shipping stuff: you’ll work with your tea

About Ubiquiti At Ubiquiti Inc., we create technology platforms for Businesses, Smart Homes, and Internet Service Providers, driven by our goal to connect everyone, everywhere. To date, Ubiquiti has shipped over 100 million devices worldwide, from ISP networking products to next generation of IT solutions. Our growth is made possible by the dedicated team of hundreds behind the scenes. From software developers and product managers to designers and strategists, Team UI is driven to achieve our common goal: Rethinking IT. At Ubiquiti, you’ll heighten your potential and broaden your horizons - all while shaping the future of connectivity. Responsibilities: Design end-to-end product experiences across web, desktop, and mobile; Simplify complex systems into clear, fast, and intuitive interactions; Define product behavior - flows, structure, and interactions; Build scalable, production-ready interfaces and components; Work closely with engineering and product to ship high-quality features; Own work from concept to launch, continuously improving what’s live. Requirements: 4+ years of experience designing interfaces for web/desktop/mobile applications - ideally in technical, data-dense, or B2B contexts; Strong Figma proficiency and a rigorous approach to component-level thinking; Solid grasp of interaction design, information architecture, and visual hierarchy; Ability to push back, advocate for users, and defend decisions with clear rationale; Self-directed - you take ownership and follow through without hand-holding; Experience with AI tools - Claude, Gemini, etc; Fluent in English and Latvian. Nice to have: Familiarity with networking, IT infrastructure, or hardware products (or genuine curiosity about them); Experience with design systems and contribution to shared component libraries; Motion design or advanced prototyping skills (After Effects, Principle, or similar). Benefits: International work environment and work with global development teams; Ability to deliv