Senior Data Scientist

Harnham; Greater London; Hybrid; GBP 55,000 - 65,000; Full time

Job summary

A leading fintech organization in London is looking for a Senior Data Scientist specializing in personalisation. The role involves using customer analytics to understand behavior and guide strategic decisions across marketing and product development. The successful candidate will translate business challenges into data-led insights, working closely with data engineering teams. This position offers a hybrid working model with a competitive salary up to £65,000.

Qualifications

• Strong experience in using data to drive strategic decisions in marketing and product.
• Proficient in developing advanced analytical models for customer forecasting.
• Ability to present data-driven recommendations to senior stakeholders.

Responsibilities

• Translate business challenges into analytical questions to drive insights.
• Analyse customer behaviour to uncover product and marketing opportunities.
• Develop analytical models to forecast customer outcomes.

Skills

Customer analytics

Data-driven insights

Advanced analytical models

Job description

Job Description

Senior Data Scientist – Personalisation

London – Hybrid

Up to £65,000

About the Role

We’re working with a growing fintech organisation that’s redefining how people save and invest. Their mission is to make financial wellbeing simple, transparent, and accessible - helping customers feel confident about their money through technology, insight, and great user experience.

As a Senior Data Scientist, you’ll focus on customer analytics and applied data science - using data to understand behaviour, identify opportunities, and guide strategic decisions across marketing, product, and personalising customer experience.

Key Responsibilities

• Translate business challenges into analytical questions and deliver data-led insights that drive customer growth and retention.
• Analyse customer behaviour, lifecycle patterns, and engagement to uncover opportunities for product and marketing optimisation.
• Develop and maintain advanced analytical models to forecast customer outcomes and measure impact.
• Present clear, data-driven recommendations to senior stakeholders, influencing strategy and decision-making.
• Work closely with Data Engineering and BI teams to ensure data quality, accessibility, and scalabilit...