Data Scientist (Crypto Exchange)

We are currently working with a fast-growing, profitable digital assets platform that is scaling its global analytics capability. The business operates with a lean, distributed team and supports millions of users worldwide through embedded financial technology solutions.

Our client is looking to appoint a Data Scientist / Data Analyst to take ownership of their analytics function end-to-end. This is a high-impact role where you will design tracking frameworks, build reporting infrastructure, lead experimentation initiatives, and deliver insights that directly influence product and commercial decision-making.

This opportunity would suit someone who enjoys autonomy, thrives in fast-moving environments, and wants measurable influence over product direction and growth.
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The Role

Product Analytics & Tracking

Analytics Infrastructure

• Design and implement comprehensive tracking across the full customer journey.
• Enable clear week-on-week and month-on-month performance analysis across onboarding flows, transaction performance, connection points, and conversion metrics.

Conversion Funnel Analysis

• Define and monitor detailed funnels (e.g., initiated vs. completed actions, onboarding steps started vs. finalised, compliance stages, transaction success rates).
• Identify friction points and recommend optimisation strategies.

Performance Reporting

• Deliver structured, objective reporting to product and leadership teams.
• Highlight behavioural trends, drop-offs, processing times, and overall platform efficiency.
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A/B Testing & Experimentation

Experimentation Framework

• Evaluate, implement, and manage an experimentation framework to support data-led product iteration.

Experiment Design & Analysis

• Develop statistically robust experiments.
• Define KPIs and success criteria.
• Interpret results to drive measurable conversion and engagement improvements.

Stakeholder Collaboration

• Partner closely with Product and Engineering teams to prioritise testing initiatives.
• Translate findings into actionable roadmap decisions.
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Dashboards & Data Engineering

Centralised Reporting Hub

• Build and maintain a core analytics dashboard surfacing key operational and commercial metrics.

Data Pipelines

• Develop and maintain reliable data pipelines to ensure clean, accurate, and timely reporting.
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Candidate Profile

Experience & Technical Skills

• 3+ years’ experience in a Data Analyst or Data Scientist role.
• Strong SQL capability (experience with relational databases preferred).
• Proficiency in Python or R for statistical analysis and modelling.
• Solid understanding of experimentation methodology (hypothesis testing, statistical significance, confidence intervals).
• Experience building dashboards using BI tools (e.g., Looker, Tableau, Metabase, Power BI, or similar).
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Competencies

• Strong product mindset with the ability to link data insights to commercial outcomes.
• Clear communicator, able to present complex findings to both technical and non-technical audiences.
• Self-sufficient and proactive in identifying measurement gaps and surfacing opportunities.
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Desirable (Not Essential)

• 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.

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