Applied AI engineer: pricing analytics Fintech foundation (100% Remote - Ireland)

About the jobHopper is continually redefining how people travel, combining a best-in-class travel agency with a portfolio of proprietary fintech offerings that give our customers peace of mind when booking travel. More than 100M monthly active users are exposed to our products through our mobile app and a growing list of partners such as CapitalOne, Air Canada, and Spirit Airlines. With a real-time feed of 50B+ priced itineraries daily along with more than ten years of history and multiple external data sources, we have unparalleled insight about pricing and demand trends.This is a unique and senior opportunity to join our growing Fintech Foundation team. We are responsible for optimizing pricing for all ancillary products we sell, balancing customer demand with the financial risks we take on. We help our product teams deliver new fintech products to market faster, respond rapidly to changing market conditions, run continuous champion-challenger testing on product construction levers, and maintain our growing portfolio of pricing models across dozens of partners.The role:As a Pricing Analytics Architect, you will be the driving force behind our next generation of data and self-service capabilities. Your primary mandate will be to architect, implement, and operate AI-powered self-service analytics platforms to empower our internal product and revenue stakeholders.You will act as a hands-on technical Product Manager for our internal data and analytics tools, balancing stakeholder needs with technical feasibility and data architecture integrity.This role plays a key part in strategic development by shaping the underlying data architecture to ensure quality, scalability, and performance, enabling faster and more reliable pricing and product decisions.You will also assess and develop prototypes for new analytical capabilities that we could potentially deliver to our growing list of external partners.What would your day-to-day look likeArchitect and build production-ready, self-service dashboards, and automated analytical tools, integrating core AI/ML features to improve access and deliver novel insights and diagnostics.Lead the data quality and data architecture roadmap for the Fintech Foundation team's reporting systems, ensuring high fidelity and trusted data for all internal and partner-facing analytics.Act as the primary technical point of contact for internal business stakeholders, translating complex analytical needs into technical specifications and managing the feature backlog for the analytics platformGrow use of our data platform through documentation, training, and a strong push towards self-service.An ideal candidate hasDeeply curious with strong problem-solving ability, critical thinking, and attention to detail.Proven experience in architecting and implementing self-service business intelligence (BI) solutions or data products.Highly quantitative with advanced hands-on experience in SQL and data architecture/modelingStrong understanding of financial metrics, data quality principles, and reporting tools like Looker or Tableau.Excellent communication, presentation, and stakeholder management skills with a strong technical PM slant.Perks and benefits of working with us:Well-funded and proven startup with large ambitions, competitive salary and the upsides of pre-IPO equity packages.Carrot Cash travel stipendFlexdesk All Access Pass & Work-from-home stipendEntrepreneurial culture where pushing limits and taking risks is everyday businessOpen communication with management and company leadershipSmall, dynamic teams = massive impactEngagement Status: Independent ContractorNote on Contractual Status: This position is offered as an Independent Contractor engagement (Contract for Services) and does not constitute an offer of direct employment. The successful candidate will operate as a self-employed individual or through a Personal Service Company (PSC). You will be responsible for your own tax, PRSI, and VAT compliance in acco ... (truncated, view full listing at source)