Staff Data Scientist — AI-Driven Analytics Leader

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

Benefits offered by this job

Competitive salary

Bonuses

Equity

Healthcare

Retirement

Family support

Employee giving match

Mobile phone stipend

Job summary

Ripple is seeking a Staff Data Scientist to be the technical lead across Ripple's product and business portfolio. You will define the analytics vision, build the scientific frameworks the org uses to evaluate product performance, and apply AI tooling to accelerate analytics across the company.

You will partner with product and business leads to frame important questions, set the analytical bar, and ensure decisions rest on a thorough foundation.

Qualifications

• 8+ years in data science or quantitative analysis with senior impact across multiple teams
• Technical leadership across cross-functional teams influencing roadmaps and strategy
• Experience designing reusable analytics and measurement frameworks that scale across products

Responsibilities

• Be the DS tech lead across multiple product and business teams
• Partner with product and business leads to define analytics strategy
• Build the scientific frameworks Ripple reuses at scale
• Pioneer AI-accelerated analytics using LLMs and agentic workflows
• Drive evidence-based evaluation of growth across customers and on-chain activity
• Define and communicate metrics leadership runs on
• Raise the bar for the DS function through mentorship across teams

Skills

Data science

Leadership

Experimentation

Python

SQL

Big data

Databricks

Airflow

AI / LLMs

Forecasting

Causal inference

Education

MS/PhD in quantitative field

Tools

Databricks

Airflow

dbt

SQL

Python

R

Job description

Ripple is seeking a Staff Data Scientist to be the technical lead across Ripple's product and business portfolio. You will define the analytics vision, build the scientific frameworks the org uses to evaluate product performance, and apply AI tooling to accelerate analytics across the company.

You will partner with product and business leads to frame important questions, set the analytical bar, and ensure decisions rest on a thorough foundation.