Senior Product Data Scientist
Listed on 2026-02-20
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IT/Tech
Data Analyst, Blockchain / Web3, Data Scientist, Data Science Manager
About Moon Pay
Hi, we’re Moon Pay. We’re here to onboard the world to the decentralized economy by making digital money move as universally and effortlessly as the internet.
Why? Because crypto, stable coins and blockchain aren’t just technologies. They’re tools for global financial empowerment. They give people and businesses more control over their money, their digital assets, and their future, opening access to legacy financial systems that have been out of reach for many.
What we do:
Moon Pay is a unified payments platform for digital currency. We make it easy for anyone, anywhere, to buy, sell, swap and pay in digital currencies as easy as sending an email. That simplicity is intentional, our focus is reducing complexity so people can participate confidently, without needing to be crypto experts. We power the entire flow between fiat and crypto end to end, with compliance, identity checks, fraud prevention, and settlement all built in.
This end-to-end approach reflects how we work internally: with accountability, rigor, and trust built into everything we ship.
Proven at scale:
Trusted by over 30 million customers and over 500 ecosystem partners, our secure, enterprise-grade platform is driving mainstream crypto adoption worldwide. Behind those numbers are millions of real people and organizations relying on Moon Pay every day.
We collaborate with innovative brands and projects to build secure, scalable solutions for a blockchain-powered future. This is an opportunity to help shape systems, not just scale them. And we’re committed to doing it right. Fully licensed in the U.S. and regulated across the UK, EU, Canada, and Australia, because trust and compliance are non-negotiable.
But we’re just getting started. We’ve launched a consumer app that makes crypto accessible, intuitive, and usable for everyone, and it’s growing fast. We’re iterating every day to make it the best it can be.
If you believe financial freedom should be for everyone. If you believe in building a fairer, more open financial system – we want you with us. To build systems that benefit all, we need contributions from all, regardless of background.
Come build the future of payments and the decentralized economy with Moon Pay. Let’s make financial freedom and autonomy the new normal.
About The OpportunityIn this role, you will play a key part in shaping Moon Pay’s product strategy data, specifically in the customer onboarding journey, combining deep analysis, experimentation, and strong stakeholder partnerships to drive meaningful business impact. You will sit within the Data Science team and work closely with Product & Engineering, taking ownership of analytics across the full product lifecycle, from defining problems and success metrics, through to launching, measuring, and optimising products r work will directly influence product strategy, customer experience, and key business outcomes, enabling teams to make better, faster decisions through trusted insights, clear narratives, and scalable data products.
This is a great opportunity for someone who wants to operate at the intersection of data, product, and strategy, someone who enjoys turning complex data into clear direction, influencing decisions, and helping shape the future of high-impact financial and crypto products.
- UK
- Spain
- Portugal
- Relocation available:
Case by case - Work pattern: remote (although hybrid if near a Moonbase is encouraged)
- Provide insights and recommendations based on a deep understanding of Moon Pay flows and be able to identify and drive new opportunities for product improvements & enhanced customer safety
- Work closely with the product teams and business stakeholders to review product performance and deliver data-driven strategies for increased product performance
- Define KPIs, design tracking and set up monitoring for new product launches & changes
- Oversee and implement A/B tests and other experiments to drive forward optimization efforts
Design, build and scale both internal and external data products, which drive informed decision making, examples include dashboards, reports, data models, algorithms, integrations into other…
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