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

Equity

Health insurance

Retirement plan

Wellness reimbursement

Parental leave

Job summary

Ripple is seeking a Staff Data Scientist to lead analytics across a diverse product and business portfolio. You will define analytics vision, build scalable frameworks, and apply AI tooling to speed insights across the company.

In this role you will collaborate with product leads to frame questions, set the analytical bar, and ensure decisions rest on a thorough foundation. You will mentor teams and elevate data science capabilities across Ripple.

Qualifications

• 8+ years in data science with impact across multiple teams.
• Demonstrated technical leadership across cross-functional teams.
• Proven experience designing reusable analytics and measurement frameworks.
• Hands-on experience applying AI to accelerate analytics workflows.

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 to scale insights.
• Drive evidence-based evaluation of growth across customers and activity.
• Define and communicate the metrics leadership runs on.
• Raise the bar for the DS function through mentorship.

Skills

Data science

Technical leadership

Reusable analytics

AI in analytics

Experimentation

Python or R

SQL

Databricks

Education

MS or PhD in quantitative field

Tools

Databricks

Airflow

dbt

Job description

Ripple is seeking a Staff Data Scientist to lead analytics across a diverse product and business portfolio. You will define analytics vision, build scalable frameworks, and apply AI tooling to speed insights across the company.

In this role you will collaborate with product leads to frame questions, set the analytical bar, and ensure decisions rest on a thorough foundation. You will mentor teams and elevate data science capabilities across Ripple.