Staff Data Scientist & Analytics Lead (AI-Driven)

Ripple; Greater London; Hybrid; GBP 120,000 - 180,000; Full time

Benefits offered by this job

Competitive salary and equity

Healthcare + retirement

Parental leave

Wellness programs

Job summary

Ripple in London is seeking a Staff Data Scientist to be the technical lead across Ripple's diverse product and business portfolio. You’ll define analytics vision, build scalable frameworks, and use AI tools to accelerate analytics across the company.

You’ll partner with product and business leads to frame the most important questions, set the analytical bar, and mentor data scientists. The role emphasizes experimentation, causal inference, forecasting, and communicating results to executives.

Qualifications

• 8+ years in data science or quantitative analysis with senior impact across teams.
• Technical leadership across cross-functional teams; influencing roadmaps and strategy.
• Experience designing reusable analytics and measurement frameworks at scale.
• Hands-on applying AI to accelerate analytics workflows (agentic analysis, AI-assisted insight).
• Deep expertise in experimentation, causal inference, forecasting, and statistical modeling.

Responsibilities

• Be the DS tech lead across multiple product and business teams; set standards and unblock analytics problems.
• Partner with product and business leads to define analytics strategy and success metrics.
• Build reusable analytical frameworks for product and network health, forecasting, and adoption models.
• Pioneer AI-accelerated analytics to scale insights and enable self-serve exploration for non-DS partners.
• Drive evidence-based growth evaluation across customers, corridors, and on-chain activity.

Skills

Data science leadership

Cross-functional leadership

AI in analytics

Experimentation & modeling

Python or R, SQL

Education

MS/PhD in quantitative field

Tools

Databricks

Airflow

dbt

SQL

Job description

Ripple in London is seeking a Staff Data Scientist to be the technical lead across Ripple's diverse product and business portfolio. You’ll define analytics vision, build scalable frameworks, and use AI tools to accelerate analytics across the company.

You’ll partner with product and business leads to frame the most important questions, set the analytical bar, and mentor data scientists. The role emphasizes experimentation, causal inference, forecasting, and communicating results to executives.