Senior Data Scientist

monzoreferrals; United States; Hybrid; USD 106,000 - 126,000; Full time

Benefits offered by this job

Relocation support

Visa sponsorship

Remote work in UK (London office ad-h

Flexible working hours

Learning budget £1,000

Job summary

monzoreferrals is seeking a Senior Product Data Scientist to embed in cross-functional squads, driving experimentation and analytics that shape product strategy and customer engagement. The role sits in a central data discipline, partnering with engineers, designers, marketers, and PMs to blend hands-on work with strategic guidance across growth, payments, financial crime, wealth, and core banking.

Based in the UK with London meetings; UK remote considered.

Qualifications

• Solid grounding in SQL; Python preferred.
• Experience running large-scale A/B experiments.
• Commercially minded; translate numbers into business perspective.
• Self-starter; identifies issues and opportunities proactively.
• Hands-on as well as strategic thinker.
• Team player; dependable and impact-driven.

Responsibilities

• Apply quantitative analysis, data mining, and visualization to surface insights for product strategy.
• Guide product teams on meaningful metrics and running A/B experiments.
• Partner with finance to view customer lifetime value and profitability impact.
• Liaise with engineers to ensure data is captured to support insights.
• Utilize self-serve BI tools for routine questions, focusing on high-impact analyses.

Skills

SQL

Python

A/B testing

Business analytics

Strategic thinking

Team collaboration

Job description

Role overview

A digital bank is hiring a Senior Product Data Scientist to embed within cross-functional product squads, driving experimentation and analytics that shape product strategy and customer engagement. The role sits within a central data discipline but pairs closely with engineers, designers, marketers, and product managers, blending hands‑on quantitative work with strategic guidance across areas such as growth, payments, financial crime, wealth, and core banking.

Responsibilities

• Apply quantitative analysis, data mining, and visualization to surface insights about how users interact with products and how those insights inform strategy
• Guide product teams on defining meaningful metrics and designing, running, and interpreting A/B experiments
• Partner with finance to develop a unified company‑wide view of customer lifetime value and how features affect user profitability
• Liaise with engineers to ensure the right data is captured to support relevant business insights
• Use self‑serve BI tooling for routine questions, freeing the role to focus on higher‑impact analyses

Requirements

• Solid grounding in SQL and preferably Python
• Demonstrated experience running large‑scale A/B experiments
• Commercially minded, able to translate numbers into business perspective
• Self‑starter who proactively identifies issues and opportunities without prompting
• Comfortable being hands‑on as well as stepping back to think strategically
• Team player who can be relied on by colleagues and is impact driven

Benefits and work setup

• Salary range of £80,000 to £95,000 plus performance‑linked incentive awards
• Relocation support available for candidates moving to the UK; visa sponsorship offered
• Based in London with UK remote considered, alongside ad hoc meetings in the London office
• Flexible working hours with trust‑based delivery; part‑time arrangements considered where feasible
• Annual learning budget of £1,000 for books, training courses, and conferences
• Additional benefits package available