Data Scientist (Fintech)

TL;DR

Data Scientist (Fintech): Taking ownership of the analytics function end-to-end by designing tracking frameworks, building reporting infrastructure, leading experimentation initiatives, and delivering insights that directly influence product and commercial decision-making with an accent on product and commercial decision-making. Focus on experimentation framework to support data-led product iteration.

Location: Remote

Company

Fast-growing, profitable digital assets platform that is scaling its global analytics capability.

What you will do

• Design and implement comprehensive tracking across the full customer journey to enable clear performance analysis.
• Define and monitor detailed funnels to identify friction points and recommend optimisation strategies.
• Deliver structured, objective reporting to product and leadership teams, highlighting behavioral trends and platform efficiency.
• Evaluate, implement, and manage an experimentation framework to support data-led product iteration.
• Develop statistically robust experiments, define KPIs, and interpret results to drive improvements.
• Build and maintain a core analytics dashboard and reliable data pipelines.

Requirements

• 3+ years’ experience in a Data Analyst or Data Scientist role.
• Strong SQL capability.
• Proficiency in Python or R for statistical analysis and modelling.
• Solid understanding of experimentation methodology.
• Experience building dashboards using BI tools (e.g., Looker, Tableau, Metabase, Power BI, or similar).
• Strong product mindset with the ability to link data insights to commercial outcomes.

Nice to have

• Experience within digital assets, fintech, payments, or high-volume transaction environments.
• Exposure to data warehousing, ETL processes, or event-driven systems.
• Practical application of machine learning in production environments.